Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

165
Probability and Mathematical Statistics A Series of Monographs and Textbooks Editors Z. W. Birnbaum . Lukacs University of Washington Bowling Green State University Seattle, Washington Bowling Green, Ohio 1. Thomas Ferguson. Mathematical Statistics: A Decision Theoretic Approach. 1967 2. Howard Tucker. A Graduate Course in Probability. 1967 3. K. R. Parthasarathy. Probability Measures on Metric Spaces. 1967 4. P. Revesz. The Laws of Large Numbers. 1968 5. H. P. McKean, Jr. Stochastic Integrals. 1969 6. B. V. Gnedenko, Yu. K. Belyayev, and A. D. Solovyev. Mathematical Methods of Reliability Theory. 1969 7. Demetrios A. Kappos. Probability Algebras and Stochastic Spaces. 1969 8. Ivan N. Pesin. Classical and Modern Integration Theories. 1970 9. S. Vajda. Probabilistic Programming. 1972 10. Sheldon M. Ross. Introduction to Probability Models. 1972 11. Robert B. Ash. Real Analysis and Probability. 1972 12. V. V. Fedorov. Theory of Optimal Experiments. 1972 13. K. V. Mardia. Statistics of Directional Data. 1972 14. H. Dym and H. P. McKean. Fourier Series and Integrals. 1972 15. Tatsuo Kawata. Fourier Analysis in Probability Theory. 1972 16. Fritz Oberhettinger. Fourier Transforms of Distributions and Their Inverses: A CoUection of Tables. 1973 17. Paul Erdös and Joel Spencer. Probabilistic Methods in Combinatorics. 1973 18. K. Sarkadi and I. Vincze. Mathematical Methods of Statistical Quality Control. 1973 19. Michael R. Anderberg. Cluster Analysis for Applications. 1973 In Preparation L. E. Maistrov. Probability Theory: A Historical Sketch W. Hengartner and R. Theodorescu. Concentration Functions William F. Stout. Almost Sure Convergence L. H. Koopmans. The Spectral Analysis of Time Series

Transcript of Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Page 1: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Probability and Mathematical Statistics A Series of Monographs and Textbooks

Editors Z. W. Birnbaum Ε. Lukacs University of Washington Bowling Green State University Seattle, Washington Bowling Green, Ohio

1. Thomas Ferguson. Mathematical Statistics: A Decision Theoretic Approach. 1967

2. Howard Tucker. A Graduate Course in Probability. 1967

3. K. R. Parthasarathy. Probability Measures on Metric Spaces. 1967

4. P. Revesz. The Laws of Large Numbers. 1968

5. H. P. McKean, Jr. Stochastic Integrals. 1969

6. B. V. Gnedenko, Yu. K. Belyayev, and A. D. Solovyev. Mathematical Methods of Reliability Theory. 1969

7. Demetrios A. Kappos. Probability Algebras and Stochastic Spaces. 1969

8. Ivan N. Pesin. Classical and Modern Integration Theories. 1970 9. S. Vajda. Probabilistic Programming. 1972

10. Sheldon M. Ross. Introduction to Probability Models. 1972

11. Robert B. Ash. Real Analysis and Probability. 1972

12. V. V. Fedorov. Theory of Optimal Experiments. 1972

13. K. V. Mardia. Statistics of Directional Data. 1972

14. H. Dym and H. P. McKean. Fourier Series and Integrals. 1972

15. Tatsuo Kawata. Fourier Analysis in Probability Theory. 1972 16. Fritz Oberhettinger. Fourier Transforms of Distributions and Their Inverses: A

CoUection of Tables. 1973 17. Paul Erdös and Joel Spencer. Probabilistic Methods in Combinatorics. 1973

18. K. Sarkadi and I. Vincze. Mathematical Methods of Statistical Quality Control. 1973

19. Michael R. Anderberg. Cluster Analysis for Applications. 1973

In Preparation L. E. Maistrov. Probability Theory: A Historical Sketch

W. Hengartner and R. Theodorescu. Concentration Functions

William F. Stout. Almost Sure Convergence

L. H. Koopmans. The Spectral Analysis of Time Series

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Fourier Transiorms of Distributions and

Their Inverses

A C O L L E C T I O N O F T A B L E S

"ritz O b e r h e t t i n g e r Department of Mathematics

Oregon State University CorvalliSf Oregon

ACADEMIC PRESS New York and London 1973

A Subsidiary of Harcourt Brace Jovanovich, Publishers

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COPYRIGHT © 1973, BY ACADEMIC PRESS, INC. ALL RIGHTS RESERVED. NO PART OF THIS PUBLICATION MAY BE REPRODUCED OR TRANSMITTED IN ANY FORM OR BY ANY MEANS, ELECTRONIC OR MECHANICAL, INCLUDING PHOTOCOPY, RECORDING, OR ANY INFORMATION STORAGE AND RETRIEVAL SYSTEM, WITHOUT PERMISSION IN WRITING FROM THE PUBLISHER.

A C A D E M I C P R E S S , I N C . I l l Fifth Avenue, N e w York, N e w York 10003

United Kingdom Edition published by A C A D E M I C P R E S S , I N C . ( L O N D O N ) L T D . 24/28 Oval Road, London N W l

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AMS (MOS) 1970 Subject Classification: 42A68

PRINTED IN THE UNITED STATES O F AMERICA

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PREFACE

The material in this book originated in a report prepared and submit ted by t h e author to the National Bureau of Standards and sponsored by the OiBce of Naval Research. I t was felt t h a t the information gathered there should be made more widely available. The result is this book, a collection of integrals of the Fourier transform type (including their inverses) involving the class of functions which are nonnegative and integrable over the interval {—^, oo).

Most of the results have been extracted from information already available and scattered through the li terature. An earlier publication by this au thor (^Tabellen zur Fourier Transformation," Springer Verlag, 1957) contained many of the Fourier transforms. I n contrast, in this volume we concentrate on the probabili ty densities. I n addition, a number of new examples have been added.

A sizable amount of effort had to be spent over many years to recognize the functions belonging to the class dealt with in this book. While it is t rue t h a t a particular function may not fulfill t he necessary conditions, it is possible t h a t a suitable combination of a number of them may meet the demanded requirement. I t was in the course of these investigations t h a t a number of hi ther to unknown results, particularly involving higher functions, Avere found.

The Author wishes to express his gra t i tude to the insti tutions mentioned above and especially to Professor Eugene Lukacs for a series of helpful discussions.

ix

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INTRODUCTION

Fourier transforms of distribution functions are a n impor tan t tool in t h e theory of probability. I n this connection they are usually called ' 'characteristic functions of probabili ty distr ibutions." They are very useful in t h a t pa r t of probabiUty theory which can be studied independently of the measure-theoretic foundations. T h e present book contains tables of distribution functions and of theh- Fourier transforms. This introduction first Usts those properties of characteristic functions which are impor­t a n t in probabiHty theory; i t then describes the tables and their use.

Character is t ic F u n c t i o n s

A real-valued function F(x) of a real variable χ which is

(i) nondecreasing,

(ii) right-continuous,*

and which satisfies the condition

(iii) lim F(x) = 1, lim F(x) = 0

is called a "dis t r ibut ion function.' '

* Some authors postulate instead of (ii) that the function Ε{χ) be left-continuous.

1

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2 Introduction

f{x) dx = l. 0

If F(x) is absolutely continuous, then formulas (1) , (2 ) , and (3) reduce to

g(y) = / e'^-fix) dx, ( la )

a* = Γ x^fix) dx, (2a) •'—00

ßk = r \ x\''f{x)dx, (3a) •'—00

respectively.

* Frequency functions are denoted by the letter /; attached to it is the same subscript (if any) which is carried by the corresponding distribution function.

Let F(x) be a distribution function; i ts Fourier transform

9(υ)^Γβ^^άΡ(χ) (1) — 00

is called the "characteristic function of F(x).^^ This is in general a complex-valued function of the real variable y.

Distr ibution functions are denoted here by the let ter F, with or without subscripts, and characteristic functions by the letters g or G with t he corresponding subscripts or without subscripts.

The following terminology and notat ion are used: The integral

ak = r 7*dF{x) (2) •'—00

is called the "/fcth moment of the distribution F{x)J* Similarly,

ßk = r \x\'dF(x) (3) •'—00

is called the "Mh absolute moment of F{x),'" provided t h a t the integrals (2) and (3) are absolutely convergent. If this is the case, then we say t h a t the moments of order k of F{x) exist. I t is easily seen t h a t the existence of the fcth moment of a uistribution function implies the existence of all moments of order no t exceeding k.

In the main tables, only absolutely continuous distr ibution functions are con­sidered. The frequency function* (probability density) of the distribution function F{x) is denoted b y / ( a : ) = F'{x), A function f{x) is a frequency function if and only if it is nonnegative and if

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Characteristic Functions 3

If the function φ{χ) is nonnegative and if

j φ{χ)άχ=Ν<οο^ — 00

then f{x) = {1/Ν)φ{χ) is a frequency function. The corresponding characteristic function is

g{y) = ί β^^'φ{χ) dx. ·'—00

We mention next a few properties of characteristic functions.

T h e o r e m 1 Let F(x) be a distribution function and let g(y) be its characteristic function. Then g{y) is uniformly continuous; moreover \ g(y) \ < g(0) = I and gi-y) = g{y)'

Here g{y) is the complex conjugate of g{y). There is a close connection between characteristic functions and moments , which is described by the following s ta te­ments.

T h e o r e m 2 If the characteristic function G(y) of a distribution function F(x) has a derivative of order a t = 0, then all the moments of F{x) up to order k exist if k is even bu t only up to order fc — 1 if is odd.

T h e o r e m 3 If the moment a* of order of a distribution exists, t hen the cor­responding characteristic fimction g(y) can be differentiated s t imes (s < k) and

- W . = ^(.) ^y) = / ^,iy. dF{x) (s = 1, 2, . . . , fc). «2/ • ' - o o

Moreover a, = i-*g^'\Qi) for α = 1, 2, . . . , fc.

T h e o r e m 4 Let F{x) be a distribution function and assume t h a t its n t h mo­ment exists. The characteristic function g{y) of F{x) can then be expanded in the form

g{y) = l + Z ^ ' ( % ) ^ + 0(r) as 2 / ^ 0 .

The following group of theorems account for the importance of characteristic functions in probability theory.

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4 Introduction

T h e o r e m 5 (The Inversion Theorem) Let g{y) be the characteristic function of the distribution function F{x). Then

1 — ß-iyh : e-'O'giy) dy,

provided t ha t F{x) is continuous a t the points a and a + h.

As an immediate consequence of Theorem 5 and of Formula (1) , the following result is obtained.

T h e o r e m 6 (The Uniqueness Theorem) Two distribution functions are iden­tical if and only if their characteristic functions are identical.

A particular case of the inversion formula is of great interest.

T h e o r e m 7 Let g{y) be a characteristic function and suppose t h a t it is ab­solutely integrable over ( - o o , + o o ) . The corresponding distribution function F{x) is then absolutely continuous and

f(x) = F^(x) = ( 2 7 Γ ) - Ι Γ e-^y^g{y) dy (4)

is the frequency function (probabiHty density) of the distribution F{x).

I t should be noted t ha t the condition of Theorem 7 is only sufBcient bu t not necessary. A distribution may be absolutely continuous and its frequency function may be given by (4) even if the corresponding characteristic function is not ab­solutely integrable. Natural ly, other conditions which insure the validity of the Fourier inversion formula (4) must then be satisfied.

Let Fi(x) and F2{x) be two distribution functions; it is easily seen t h a t the func­tion

Fix) = Fi(x - z) dF,{z) = Γ F,{x - z) dF,{z) (5) •'—00 •'—00

is also a distribution function. Formula (5) defines an operation, called convolution^ between distribution functions. The resulting distribution function F{x) is called the ' 'convolution of Fi and Fg.'' If, in particular, Fi and F2 are absolutely con­tinuous, then F{x) is also absolutely continuous and its frequency function is given by

f{x) = F'{x) = / " f,{x - z)i,{z) dz = r Mx - z)Mz) dz. (5a) • ' - 0 0 • ' - 0 0

We say then also t ha t f{x) is the convolution of / i and /2.

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Description and Use of the Tahles 5

T h e o r e m 8 (Convolution Theorem) A distribution function F{x) [respec­tively, a frequency func t ion / (a : ) ] is the convolution of two distribution functions Fl and F2 [respectively, two frequency functions / i and /2] if and only if t he corre­sponding characteristic functions satisfy the relation g{y) = gi{y)g2(y)'

The multipUcation of characteristic functions corresponds therefore uniquely to the convolution operation. In probabili ty theory one studies frequently the distribu­tion of the sum of independent random variables. I t is well-known t h a t the dis­tr ibution function of the sum of two independent random variables is the convolu­tion of the distributions of the summands. The direct determinat ion of the distribu­tion of sums will often lead to very complicated integrations while the characteristic function of this distribution can be found easily. I t is, according to Theorem 8, the product of the characteristic functions of the summands. I n view of the uniqueness theorem it is therefore often advantageous to reformulate a problem concerning distribution functions in terms of characteristic functions.

The next theorem is impor tant in connection with the s tudy of limit distributions. I t indicates t h a t the one-to-one correspondence between distribution functions and characteristic functions is continuous.

T h e o r e m 9 (Continuity Theorem) Le t {Fn{x)} be a sequence of distribu­tion functions and denote the corresponding sequence of characteristic functions by {Oniy)}' The sequence {Fn{x)} converges to a distribution function F{x) in all points a t which F{x) is continuous if and only if t he sequence {gniy)} converges to a function g(y) which is continuous a t 1/ = 0. The limiting function g{y) is then the characteristic function of F{x),

Only some of the important properties of characteristic functions have been listed here. For details, see [ 1 , 2, 3 ] .

Descr ipt ion a n d Use of t h e Tables

The first pa r t of this volume, consisting of Tables I, I I , and I I I , gives Fourier transforms of absolutely continuous distribution functions. The transform pairs are numbered consecutively and are arranged systematically according to the ana­lytical character of the frequency function.

The second par t of the volume, consisting of Tables l A and I I IA , gives the in­verse transforms of the functions listed in Tables I and I I I , respectively. T h e entries in the second column of Tables IA and I I I A are characteristic functions (Fourier transforms) of absolutely continuous distribution functions, arranged systemati­cally. The corresponding frequency functions can be found in the thi rd column. The number in the first column coincides with the number given to the same pair in

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6 Introduction

Tables I and I I I , respectively. The inverse of the characteristic functions Hsted in Table I I can be found by means of Tables I and lA.

Next we discuss in some detail the individual tables. Table I (pp. 15-73) gives the Fourier transforms (characteristic function) of even

frequency functions ( tha t is, of frequency functions belonging to symmetric dis­tributions) .

Let f{x) be an even frequency function. Then S{ — x) = i{x) = f{\x\) has the Fourier transform

g{y) = Γ /(I X l)e» ^ dx = 2 Γ fix) COS xy dx, (6)

Therefore giy) = gi — y) so t h a t the transform of an even frequency function is always real and even.

I t was found convenient not to list the frequency functions and their transforms directly b u t to tabulate instead a suitable constant multiple. The second column of Table I contains in each box the function 2Nfix) and also the normalizing factor N. The third column yields the function Ngiy). Here/(a:) is an even frequency func­tion while gix) is its transform given by (6) . The first column is used to assign (for reference in the other tables) a number to each pair of transforms. I t should be noted t h a t the arguments of the functions in Table I are always positive. Since fix) as well as giy) are even functions it is not necessary to list t hem for negative values of χ and y.

Examples of frequency functions, often used in statistics and probabili ty theory, which can be found in this table, a re :

Uniform (rectangular) distribution over ( — a, + a ) . No. 1 Cauchy distribution. No. 7 Laplace distribution, No. 60 Normal distribution with mean 0 and s tandard deviation (2a)"^, No. 73

E X A M P L E 1 In i tem 1 of Table I, we find

1 if a; < a, 2Nfix) = '

0 if a: > a,

while Ν = a. Taking into account t ha t / ( a : ) is an even function, we obtain

l / 2 a if \x \ <ay fix) = •

0 if I a: I > o.

The corresponding characteristic function is found from the third column: Since

Ngiy) = agiy) = sin (αϊ/).

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Description and Use of the Tables 7

we see t h a t

g{y) = {ay)''^8m{ay).

E X A M P L E 2 I n i tem 7 of Table I,

2Nf{x) = {a" + ^)'^ and Ν = 7r(2a)-^-

hence the frequency function is

Since Ng{y) = {2a)'-^T^e'^y,

we see t h a t g{y) = e-^y for ^ > 0;

hence g{y) = e"'''*'' for - 00 < 2/ < 00.

Table I I (pp. 74r-96) permits the determinat ion of the characteristic fimction of frequency functions f{x) t h a t are zero for negative x. The Fourier transform G{y) of fix) then becomes

Giy) = r^f{x)e^dx = Γ f{x)e<^ dx = g{y)+ ih{y), ( 7 )

Here

g{y)= ί fix) cos xy dx, (8) •Ό

A(2/) = / /(a;) sin xy dx, (9 )

•'o and

^ ( 0 ) = ( 7 ( 0 ) = Γ/(χ) da: = l .

The second column of Table I I contains Ν fix); t he third, Nhiy). The expressions for Ν and giy) can be found in Table I under the number indicated in the first column.

Three examples to illustrate the use of Table I I follow.

E X A M P L E 3 I t em 1 of Table I I yields

1 for a; < α Ν fix) = • and Nh iy) = 2y-' sin^ iya/2).

0 for a: > α

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8 Introduction

1/a, 0 < a: < a,

0 , otherwise.

This is the frequency function of a rectangular distribution over ( 0 , a). I t s char­acteristic function is obtained from the tables as

ay

From this it foUows easily t h a t

G(y) = {e^y- l)/iay.

E X A M P L E 4 I t em 6 0 of Table I I contains the functions

Ν fix) = e-«^ and Nhiy) = y{a^ +

while we see from No. 6 0 in Table I t h a t

Ν = and Ngiy) = aia^ + y^)-\

The frequency function

f(x) = αβ-^^ if a; > 0 ,

0 if a: < 0 ,

is the density of the exponential distribution. The corresponding Fourier transform is obtained by put t ing

Giy) = giy) + My) = (a^ + iay)/ia^ + y') = a/ia - iy).

E X A M P L E 5 I t em 6 5 in Table I I contains the functions

Nfix) = aj -ie-**^ and Nhiy) = ^(v) (a^ + 2 /^)"*" sin[i; a r c t a n ( 2 / / a ) ] .

From 6 5 in Table I,

Ν = a-'Tiv) and Ngiy) = a - ^ r ( y ) [ l + (2/7«')]"*' cos[v a r c t a n ( 2 / / a ) ] .

The frequency function for i tem 6 5 is given by

i [ a V r ( 2 ; ) > ^ - V « ^ a: > 0 , f(x) =

0 , a: < 0 .

This is the frequency function of the gamma distribution. The corresponding Fourier transform is obtained from the tables as

Giy) = giy)+ ihiy) = [1 + (i/Va^)]-*^ exp[ti; a r c t a n ( 2 / / a ) ] .

From item 1 in Table I, iV = a, while Ng{y) = y^^ uniay). We are therefore dealing with the frequency function

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Description and Use of the Tables 9

G{y) = / + 00

f{x)e^dx.

The first column gives the serial number of the transform. As an example we men­tion i tem 1, the uniform distribution over the interval (a, G).

Table l A (p. 1 0 5 - 1 4 4 ) contains the inverse transforms of the frequency functions listed in Table I. I t can be used to determine the frequency functions of even char­acteristic functions. Column 2 of Table l A contains the fimction Ng{y) sts well as the normalizing factor iV; column 3 gives the function 2Nf{x); while column 1 indicates the serial number which identifies the same pair of functions in Table I .

E X A M P L E 6 The function g(y) = 1/(1 + y^) is an even characteristic function (namely, the characteristic function of the Laplace dis t r ibut ion) . To find its fre­quency function, use Table lA. I t e m 6 0 of this table contains

Ng{y) = α(α2 + Ν = a''

2Nf{x) = e-^\

Note tha t , for α = 1, g{y) is the desired function. H e n c e / ( x ) = for χ > 0 . Since f{x) is necessarily even, we see t h a t the frequency function corresponding to g{y) i s / ( ; r ) = i e - l x l .

Tables l A and I I can also be used to determine the frequency functions t h a t belong to certain characteristic functions G{y) which are not even. This is possible if the corresponding frequency function vanishes for negative values of the argu­ment . If G{y) is an analytic characteristic function, t hen it is possible to decide whether the corresponding frequency function has this property. In this connection we mention the following result.

T h e o r e m 1 0 Let F{x) be a distribution function wi th analytic characteristic function

r+o G{y)=j e'y-dF{x)

This is not the form in which this characteristic function is famihar to statisticians. However, i t can easily be reduced to the customary form by noting t h a t

a + iy = (α' + y^)^exp[i a r c t a n ( t / / a ) ] .

Using this relation, we obtain

G(y)= α ' (α - iy)-\

Table I I I (p. 9 7 - 1 0 2 ) gives Fourier transforms of frequency functions t h a t do not belong to the classes listed in Tables I and I I . The second column of Table I I I gives the function Nf{x) and the normalizing constant iV, the thi rd column gives the transform NG{y). Here

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10 Introduction

and suppose t ha t F{x) is bounded to the left. Then

l e x t [ F ] = - l i m sup t"^ log G(it).

Here lext£F^ denotes the left extremity of the distribution function F{x); for details the reader is referred to [ 3 ] and it is noted here only t h a t Tables l A and I I can be used to determine the frequency funct ion/(x) = F^{x) of G{y) if l e x t [ F ] = 0, t h a t is, if

Um sup ir^ log G{it) = 0. (10) <-».oo

The use of the tables is i l lustrated in the following example.

E X A M P L E 7 Let G(y) = 4y"^ sin^ ^t/e*». I t is easily seen t h a t this function satisfies condition (10) so t h a t the corresponding frequency function vanishes for negative values of its argument . Decompose G{y) into its real and imaginary par t s and obtain

g{y) = Ay^sin^ ^y cos y,

h{y)= 42/-2 sin^ I?/sin y.

Ente r Table IA with giy) and find under i tem 2 t h a t Ν = I while

X

2Nf{x) = ^ 2 - X

0

In Table I I , i tem 2, Nh{y) is listed with

X

Nfix) = ' 2 - X

0

I t can therefore be concluded t ha t

0

fix) = X

2 - X

0

if 0 < X < 1,

if 1 < X < 2,

if X > 2.

if X < 1,

if 1 < X < 2,

if X > 2.

if X < 0,

if 0 < X < 1,

if 1 < X < 2,

if X > 2,

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Deecription and Use of the Tables 11

fix) = 0 for X < 0,

(27r)-*x-i e x p ( - l / 2 x ) .

Table I I I A (p. 146-150) contains the inverse transforms of the functions given in Table I I I . The second column contains the function NGiy) and the normalizing constant N; the third column gives Nf(x). Here

R+oo

Giy) = J e'y-f(x) dx.

The notations used in the tables are listed following the Appendix, beginning on p . 162.

is the frequency function corresponding to G{y). This is the frequency function of the tr iangular (Simpson's) distribution.

I t should be noted t h a t a frequency function / ( x ) which vanishes for a; < 0 need not have an analytic characteristic function. If G(y) is not an analytic characteristic function, then no simple criterion is known to determine whether / ( x ) = 0 for χ < 0. However, i t may still be worthwhile to t r y using Tables IA and I I . The next example shows a case where G{y) is not an analytic characteristic function b u t where the method is nevertheless appUcable.

E X A M P L E 8 Let

G(2/) = exp{ - | 2 / | * C l - i ( y / | 2 / | ) ] } ;

this is the characteristic function of a stable distribution with exponent | . Decom­posing G(y) into real and imaginary par ts , we obtain for t/ > 0,

g{y) = e x p ( - i / * ) cos h{y) = e x p ( - y * ) sin t/*.

Enter ing Table IA with g(y), find in i tem 84

Ngiy) = (ττ/α)* e x p [ - i2ay)^2 cos[(2ay)*]

and

Ν = ( 7 Γ / α ) * , 2ΛΓ/(χ) = x - * e x p ( - a / x ) .

We look up i tem 84 in Table I I and find

Nfix) = x-t e x p ( - a / x ) , Nhiy) = ( V a ) * e x p [ - (2a2/)*] sin[(2a!/)*].

This agrees with the given functions, and pu t t ing α = i , t he desired frequency func­tion is obtained as

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12 Introduction

Tables of t h e Appendix

We saw in Example 5 t h a t the tables sometimes give the characteristic function in a form which is unfamihar to the statistician. I t appears therefore desirable to list separately characteristic fimctions which occur frequently in the statistical l i terature and to write those in their customary form.

Tables of these functions can be found in the Appendix which was compiled by R. G. Laha. The appendix consists of three tables which contain characteristic functions of univariate density functions (Table A ) , of discrete distribution func­tions (Table B ) , and of mult ivariate distributions (Table C ) . The tables of the appendix do not provide a complete coverage of the statistical l i terature; only the sources listed in the References were consulted. I t is certain t h a t many characteristic functions not listed in the tables of the Appendix occur in the l i terature. Neverthe­less, it is hoped t h a t the most impor tant distributions are included.

References

1. H. Cramor (1946). ''Mathematical Methods of Statistics." Princeton Univ. Press, Princeton^ New Jersey.

2. M. Loöve (1955). 'TrobabiUty Theory." Van Nostrand-Reinhold, Princeton, New Jersey. 3. E. Lukacs (I960). "Characteristic Functions." Griffin, London.

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TABLE I

EVEN FUNCTIONS

Defini t ions

I n these t a b l e s / ( x ) is a n even function of x, i.e., / ( — x ) = f{x), such t h a t

/ " / (I a; I) (te = 2 Γ f{x) dx = 1.

Consequently, i ts Fourier transform is

g(y) = Γ /(I l) "*' = 2 Γ fix) <^osixy) dx.

Therefore 0^(2/) is an even function of y, i.e., gi—y)= giy)* A real func t ion / (x ) of the real variable χ is called a "frequency function" or

"probabil i ty density'* if i t is defined in the interval — » < χ < 00 and if i t satisfies the properties:

(1) fix) is nonnegative in this interval ;

(2) Γ fix)dx = L •'—00

15

Page 18: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

16 Table I: Even Functions

Tables of integrals of the form

G(y) = r f(x)e'^dx •'—00

are Hsted here for the cases:

(a) fix) is an even function of χ (Table I, pp . 17-73) ; (b) fix) vanishes identically for negative χ (Table I I , pp . 75 -96 ) ; (c) fix) does not belong to any of the classes α or 6 (Table I I I , pp . 98-102) .

A list of notations can be found on pp. 162-167.

Page 19: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

1. Algebraic Functions 17

1. Algebraic F u n c t i o n s

2ΛΓ/(χ) Ng{y)

10

1, x<a 0, x>a N=a

X, x<l 2-x, l<x<2 0, x>2 N=l

x-», x<l 0, x>l N=2

{a+x)-\ x<b 0, x>b N=hg(l+b/a)

0, x<b {a+x)-«, x>b n = 2 , 3 , 4 , . . . ΛΓ= ( o + 6 ) i - " ( n - l ) - >

0, x<b ix{a+x)lr\ x>b N=a-nog{l+a/b)

iV=ir(2o)->

[6^+ ( a - χΥΤ'+ \V+ {α+χΥΤ'

C(a +a:»)(&»+a ):-> ΛΓ=π[2οδ(α+6)]-ι

2ν=2Ηπα-'

2/-* sin(ai/)

4j/~^ cos«/ sitf(52/)

(2Vy)»C(2/)

cos(ay) [Ci(a2/+6j/) — Ci{ay) ] +sin(a2/) [8i(ay+6j/) — siiay) ]

( n - 1 ) !

• sin[|^(n— m) — 6i/] - 1) ! ] -Ϊ8ίη (α2/+ |πη) •Ci(ai/+6?/)—οο8(α?/+§πη) si(ay+by)2

o~^[cos(ai/) Ci (a i /+6 i / ) +s in(a2 / ) s i ( a 2 / + 6 t / ) —Ci(62 / ) ]

7Γ6"^ cos{ay)e'~^

^πα-^ exp (—ay2r^) sin ( i i r+ 2^ay)

Page 20: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

18 Table Is Even Functions

2Nfix) Ngiy)

11

12

13

14

15

16

17

18

19

20

21

[ a ^ 2 o V cos (2«y)+o*] - i -§5r<^<^ iV=^a- ' sec t?

a^Ca^+2aV cos(2t>)+o*]-i -§ir<t><Jir

N=ira-i

{a+x)-i Ν=2αή

x-^ia^+x")-*

( o — x < a 0, x>a

{a-x)-\ x<b 0, x>b

b<a i V = - l o g [ l - ( 6 / o ) 3

(α^-ατί)-!, x < 6 0, x>b

b<a

N= (2α)- ' IogC(a+6) (o - f t ) " ' ]

0, x < 6

b>a N= (2o)-i log[(6+a) ( f t - a ) " ' ] 0, x<b X-l{x-b)-i, x>b N=b-h-

x'ia^-x^)-*, x<a 0, x>a

ϊΐτα"* csc(2t>) exp{—ay

ixa-'csc(2t>) exp(—aj/cosi^) 'S\n{u—ay shi&)

ira-i{co8(a2/) [ 1 - C(oi,) - Siay) ] +sin(aj/)[C(aj,)-Ä(a2/)]}

2 a - » - (2ir2/)Mcos(a2/)[L-2S(ay)*] -siniay)il-2C{ayy2}

{hry)^I-iihay)may)

(2ΙΓ)*2/-»[οο8(ο2/) C(oy)+sin(o2/) S(oy) ]

cos(o2/) [Ci(a2/) — Ci(ay— by) ] +8ΐη(αι/) [8ί(θί,) - ai{ay- by) ]

(2o)-M co8(a?/) [Ci(o2/+62/) - Ci (o j / - by) 3 +sin(oj,) la{ay+by) - 8i(oä,-62/) ]}

(2o)-i{ sinCay) [ 8 i ( 6 2 / - a y ) + s i ( 6 y + o y ) 3 - cos(ay) CCi(6i / - oy) - Ci(by+ay) ]}

6 - I T [ L - C ( 6 2 / ) - S ( 6 y ) ]

W i : / o ( a i / ) - ( a 2 / ) - V i ( a y ) :

Page 21: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

1. Algebraic Functions 19

2Nf{x) Ngiy)

22

23

24

25

26

27

29

30

31

32

0, x<b ix-b)-iix+h)-\ x>b N= (26)-»«·

0, x<b ix-b)-^ix+a)-\ x>b N=ia+b)-iT

ia^-3?)-*, x<a 0, x>a N=^

xia^j?)-^, x<a 0, x>a

x-iia'-T?)-^, x<a

0, x>a A r = 2 - * T « | T ( i ) r

0, x<b i(^-3?)-*, b<x<a 0, x>a N= arccos(i>/e)

ar i [o+a;+(2ax)»]- ' N=vi2a)-*

:r*ia^+3?)-i[x+ ia^+3?)iT* 0, x<a x-iin^-a^-i, x>a Ν=2Γ*πΚτα)Τ' 0, x<a x-i(x*-o«)-*, x>a N=U~^

(α»+α?)-1[ο+(α»+ί?)»]-1 iV=(2o)-»ir

(26)-iir{cos(6j/) [ 1 - C(26i/) - Si2by) ] +8in(62/)[C(2&i/)-S(262/)]}

(α+6)-*τ{ cos(oi/) [1 -C(oy+6i / ) - Siay+by) ]+sin(oi/) [C(aj/+63/) - Ä ( a y + 6 i , ) ] }

^vJoiay)

a [ l - i i r H i ( a i , ) ]

( k ) ¥ C J ' - i ( § 0 2 / ) T

τΣ^«+ί(|θί ,-^62/) N-O

•J-^ihay+hby)

ir(2o)-*e««'Erfc[(ai/)*]

2~ia-Huuiihay)Kiiiay)

-ihr)¥J-^ihay)Y^ihay)

h-'^-^[Joiay)H.i{ay)+H,(ay)May)2 (2a)-iirErfcC(oi,)»]

Page 22: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

2 0 Table I: Even Functions

2Ni{x) Ngiy)

33

34

35

36

n,m=0,l,2, ..., n>m

(2TO)!(2n-2m)! 22"+ίη!»η!(η-ίη)!

χ^{3?«+α"')-^ m , n = l , 2 ,3, . . . , 2m<2n—l N= {ν/2η)ά"^^"-' csc[(V2n)(2m+l)]

x-iia^+x')-i\:x+{a'+^)ilr^ N=2na-h

( r ' -a«) -»[a ;+(x ' -aä ) i ] -" , x>a 0, x<a ΛΓ=(ΐ/η)α-"

§5r[(-l)"'+"/nO(<iy<fe") .[«"'-lexp(—j/a*)]

(ir/2n)a''"*-a''-» Σ {exp(,-ay sin[(2ft-1)

• (ir/2n) ] ) sinC(2A;-1) (2m+1) (ir/2n) +02 /cos(2Ä- l)( ir /2n)]}

2-*α-ΊΓβ-^/ο(|α2/)

—|ö~"fl-[sin(|rMr)/„(a2/) + c o s ( W ) F„(a2/)]

η - α - « Σ Ä;!(n+Ä;~l)![(2Ä;)!(n-Äj)!]-i

2 · Arbitrary Powers

2Nf{x) Ng{y)

37 !(Τ-\ x<l, v>0 h-'M"; «Ή-1; iy)+iFi{p;v+i; - iy) 1 0, x>l

38 {b-x)% x<b - hiy-'~H expC- tXw/2- by) ]7(>'+1, % ) 0, x>b, !>>-! -expp ( i ' jr /2-6i / ) ]7( i '+ l , - % ) } JV=6'+i(^+l)-i

39 3r-\b-x)''-\ x<b i6 '+^- '5(r ,M)[iFi(v;M+i' ;%) 0, x>b

v>0, μ>0 N=b'•^-'B(p,μ)

Page 23: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

2. Arbitrary Powers 21

2Nf{x) Ng{y)

40

41

42

43

44

45

46

47

48

49

50

x'{a+x)-\ - 1 < . ' < 0 ΛΓ=—IT csc(i/ir)

i^ia^+3?)-\ - 1 < » ' < 1 Ar=io '-»irsec(inr)

(a^+x")-^, v>0 J V = § a - M C r W / r ( . + | ) ]

{τ'+2αχ)-^, 0<v<^ N=h-^'ir-ir{p)T{h-i')

'ia+{a^+m, >'<h Λ Γ = 2 - » α - » τ * [ Γ ( | - | . ) / Γ ( ! - | ν ) :

x-i{a^+3?)-iZ{a'+3?)^-xJ, v>-h

x-iia^+x^)-iZx+{a'+m, N=a'-iiiTKT{i-¥)/Tii-hv)l

{α'+^)-^1(α'+3ΐ?)*+χΤ', v>0

ΛΓ=αΐ-ν(» '2-1)-»

3f{a^+3i?)-i'-\ -1<ν<2μ+1

(α*—a:^)'"*, x<a 0, x>a, v>-i

( 2 α ) ' ( α τ 2 / ) » { ^ | ^ Α _ ^ . » ( α ί / )

Γ(1+|ίΟ_„ , . -2_, , , . S-^,i{ay)

\ΐ(αΓ^ s e c ( ^ ) cosh(oj/) +»»2 ' -v -T( iv -^) [ r ( i - i . ) r

• i F 2 ( l ; l - f v , f - § v ; i a V )

l{2a)-'^/T{v+h)ly'K,{ay)

2-'-Ό-' ίΓ*Γ(|-»') -y'LMay) Biaiay)-Y,iay) cosCaj/)]

2 - » α - ' Γ ( Κ | . ) • jr*l^^,j(a2/) Λί-ί,.-ι(θί/)

a'ihr) ¥l-i-i,{hy) Ki-i,{hay)

a-'ircsc(w)ÖJ,(tO2/) + υ » ( - % ) - / , ( α 3 / ) c o s ( W ) ]

oT'inr cac{vir)y~^{I,{ay) s i n ( | w ) + m ( i o 2 / ) - J , ( - i o j / ) ] }

+ § i r » ( i t / ) ^ ' + ' r ( i . - M - i ) . [ Γ ( μ - | . + 1 ) ^

. : ^ 2 ( μ + 1 ; μ + 1 - | . ' ; μ + | - ^ . ; 1 α ν )

2-Wr(v+i)r'^(«3/)

Page 24: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

22 T a b l e I: Even F u n c t i o n s

2Nf{x) Ngiy)

51

52

53

54

55

56

57

58

xia^-3^)'^, x<a 0, x>a,

v>-h N=a^'+K2v+1)-'

{2ax-i?)'-*, x<a 0, x>a,

J V = o M [ r ( r + ^ ) / r ( v + l ) ]

x'ia^-a?)", x<a 0, x>a,

» ' > - l Ν=ία^^Β{μ+ΐΛ+¥)

. { [α+ [a- {a^-m}, x<a

0, x>a N={2a)-^B{\+\v,-^\v)

+ [ (6+x )» - t (6 -x )» ]^ ' | , 0, α:>6 i^=22'6i-};r ' [ r( |+^)r( |-v)R'

( a ^ - o * ) - - x > a 0, ί ;<α

0 < i ' < § JV=^a-« ' i r-JR(i ' ) r(^-p)

0, x<2a {x^2ax)-'-^, x>2a

Q<v<\ N=\a-^'ifiT{v)T{\-v)

0, x<a, x-^is^a^)-'-*, x>a

A r = i o - ^ V s e c ( w )

ο«^Η2ρ+1) - ' . [ 1 - ( ΐ α ) - Μ Γ ( . + § ) 2ΓΉ^ι(α2/) ]

(2ο) 'π»Γ(.+^) 'y-'J,{ay) cos{ay)

\α^'Β{μ+\Λ+¥) •M+hv;\,¥+\+^;-W)

( 2 a ) - i f i ( I + | . , I - | . ) •iFi(J-ii';^;-ioy) • i i ' i ( I - ^ i ' ; § ; t a j / )

- K 2 a ) - ' T » r ( I - . )

·2/'7,(α2/)

- I ( 2 a ) - ' i r i r ( I - . ) 'y'Uyiay) s\a{ay)+Y.{ay) cos(aj,)]

'{l-\airylJy{ay)^.-x{ay) -H,(o2/)J,_i(aj/)]}

Page 25: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

3. Exponential Functions 23

2Nf{x) Ngiy)

59 0, z<a -W^ihiry)* •Ui'>-i{hay)Y-i>-i{iay)

+ [χ-(χ2-α')*]'}, x>a +J-i^{hay)Yi^{hy)l

i V = ( 2 T ) - » a ' - i r ( i - f . ) r ( i - ^ )

3 . Exponent ia l F u n c t i o n s

2ΛΓ/(χ) Ngiy)

60 aii^+y')-' ΛΓ=α-'

61 x-i{e-^-e-<"), a>b h\ogiia^+y')iV^+y')-^l N= log(a/6)

62 x*<r« Wia'+f)~* cos[f arctan(i//o): ΛΓ=ΑΐΓ»ο-|

63 (^) ί (α»+3 /^) -»[α+(«'+Λ*ϊ ΛΓ=(τ/ο)*

64 0, x < 6 Γ(1+.)(α^+2/«)-ί-ί'β--» (x -6 ) 'e -^ , x>i> •cosCiw/+(i'+l) aretan(y/o)]

» ; > - l i V = o - ' - ' R ( l + i ' ) e - *

65 x-»e-<" a-'T iv) [ 1 + (i/yo^) ] - * ' οοδΗι/ arctan(ii/o) ] ΛΓ=ο-'Γ(ί')

66 N=a-nog2 -^ih+ihvM-^ih-iiy/a)!

67 x ( e « - l ) - i h-'-U^/a)Xc8chiiry/a)J

68 x -^( l - e -« )* aDog(j/2+4a2)-log(2/2+a^)] iV=2olog2 — 2/ arcctoß(y/ o ) ' + f y / o ]

69 0, x < 6 o-'- ie-<*R(L+i') ( x -6 ) ' e -« , x > 6 . (l+j/ya*)-*'-* C08[%+ (^+1)

v > - l •arctan(y/a)] Ν=α-^'^Τ{1+ν)

Page 26: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

2 4 Table I: Even Functions

2Nf{x) Ngiy)

70

71

72

73

74

75

76

77

78

79

80

81

e-^il-e-*')'-\ v>0 N=b-'B{p,a/b)

x'-'i<r+i)-\ ν>0 i V = ( l - 2 i - ' ) r W f W

j . p - l ( e« r_ l ) - l ^ I '>1

Ν=α-'Τ(ν)ζ{ν)

exp(—ox*)

]\Γ=2-^α-*π[Γ(|)]-ι

χ* exp(—aa;2) A r = 2 - i a - i [ r ( i ) r ^

x*" exp(—aV) ΛΓ=(2α)-2' '-Μ[(2η)!/η!]

x'exp(—ox*), j ' > —1 ΛΓ=ΐα-ί«-^->Γ(Η|.)

(6*+x*) - iexp( -oV) iV=i6-'irexp(o«6«) Erfc(o6)

exp(—ox—6V) ΛΓ=^δ-Μβχρ(ον46*)

•Erfc(o/26)

x^'exp(—ox—6x*), i '>0 iV= (2δ)-'/«βχρ(-ο*/86)

.r( .)D_,[o(2&)-i]

e x p [ - (ox)»] iV=r ( i ) ( 3o ) - i

hb-HBi,', ia-iy)/b2+BZp, (o+ij/)/&]}

Γ W ( y - cos(iw)+§(2o)-'{|-[v, i + ( V 2 o ) ] + f C", §-ϊ·(2//2α) : - f C ^ iiy/2a) ] - f C ' ' , - i ( y / 2 a ) ] } )

i o - T W { f C . , l + ( V « ) ] +?[»',!-(%/«):}

ΚτΑ )*βχρ(-2/* /4ο)

2-ίο-ίπ2/ί exp(-2/y8o)/_i( t /y8o)

2-»ο-*5Γ2/ίβχρ(-2/*/8α) .C/_, (yy8o)-7i( i /y8o)]

(-1)"2-»-ΐα-«"-Μ .exp(-yy4o«)ffe2n(2-»y/o)

^ο-ία-Η·)Γ(Η^.) · ι ί Ί [ Η ^ . ; § ; - ( 2 / Υ 4 ο ) ]

i&-»ir exp(o*6*){exp(-6y) Erfc[o6- (y/2a)] +exp{by) ErfcCoH-(2//2o)]}

K2&)-''* exp[(o*-2/*)/86]r(v) . {exp(-toi,/46)i>-,C(o-t2/) (26)"»: +exp(my/46)Z)_,C(o+i2/) (26)"»]}

(3o)-i2/Mexp(iiir)Ao.,C(2//3o)» •2 exp(ijir)]+exp(-ii9r) .Äo , j [2exp( - I IT) ( I , /3o)»]}

Page 27: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

3. Exponential Functions 25

2ΛΓ/(χ) Ngiy)

82

83

84

85

86

87

88

89

90

91

92

93

xfexpi-caf), μ>-1, 0 < c < l

N= ο-ΐα-<^»'«Γ[(μ+1) c-i]

afexp(-ax«), m > - 1 ,

N= c->a-t^«/«rC(M+1) c-»]

x-*e-"' ΛΓ=(«/α)»

x-^^expi-aVix), v>0 ΛΓ=2*Ό-'Γ(ν)

x~* exp[— ox— ib/x) ] ΛΓ=ο-*ΐΓ»6χρ[-2(αδ)*]

_ x~* exp[— o x - (6/a;) ] 'ΛΓ=(τ/6)»βχρ[-2(ο6)ί]

x^i e x p [ - o x - (ί>*/χ) ] iV=26O-'"'Z,(2a»i>)

x-*exp(-o*x-«) iV=§o-M

exp(—ox*) JV=2o-«

x~*exp(—ox*) ΛΓ=2α-'

x~*exp(—ox*) ΛΓ=2ο-*ΐΓ*

x^iexp(—ox*), i '>0 N=2a-^Ti2v)

- Σ { ( - a )" (« ! ) - ' r (M+H-nc)

·8ίη[ίτ(μ+ηο)]2Γ*-ι-«}

e-ΐΣ { ( - l ) ' O - » ' ^ « / « C ( 2 n ) ! r ' N-O

•Γ[(2η+1+μ)ο-'>*»}

(π/ο)* e x p [ - (2oy)*] C08C(2oy)»]

2O-'y*'{ expP(Mr/4) 2K,iae^yi) +expC-i-(v7r/4) ]i:,(ae-<*V)}

ir*(o«+i/«)-*exp(-2«6*) • [« cos(26*») - V sm(26*») ] Μ=2-*[(ο*+Λ*+ο]» »=2-*[(ο*+ί/*)»-ο]*

(IR/i>)*exp(-26*M) co8(2i>*») w=2-*C(o*+i/*)*+o]* «;=2-*[(o*+i/*)*-o]*

6*{(ο+ί2/)-'/«ί:,[2&(ο+ίί,)*] + (ο-ίί /)- ' /*ί: ,[26(ο-%)*]}

N-O n ! r ( H i n )

2-»oir*y^ . { c o 8 ( o y 4 y ) Ö - C ( a y 4 j / ) ] + s i n ( o y 4 y ) Ö - Ä ( o y 4 y ) ] }

(2Vy)MCO8( V / 3 / ) Ö - 5 ( i a y y ) ] - s i n ( i o y y ) C | - C ( i o y y ) ] }

io*iry-*{/j(ay8y) s in(oy8y+iir) - y i ( o y 8 y ) c o 3 ( a y 8 y + i T ) }

Γ(2,') ( 2 y ) - ' ( e x p { - i Ö w + ( o y 8 y ) ] } .D_2 ,Co(- i /2y)*]

+exp{iÖ«r+(oy8y)]|i)-i,Ca(v'%)*J)

Page 28: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

26 Table I : Even Functions

2Nfix) Ngiy)

94

95

96

97

98

99

100

101

102

103

exp[-6(a*+x*)i: N=aKiiab)

(a«+x*)-l expC-6(a*+a?)»] N=Koiab)

x-i{l^+^)-i exp[-o(62+x*)i] N= 2ia^b-iir*Kiiab) [ Γ ( | ) Jr'

ΛΓ=6ί(2ΐΓ)-»[ίΓι(^α6)Τ

•exp[-a(6*+x*)i] iV=(Vo-»)e-'*

+ [(a*+x*)»- x]'} e x p [ - 6(a*+x*) *] Ar=2a'Ä:,(o6)

x'-i(o2+x*)-i

•exp[-6(o*+x*)i] , v > - J ΛΓ= 2(''«-ia-»r ( H i " ) D_^[2(o6) *]

(o*+x*)-iCx+(a*+x*)iJ •exp[-6(a*+x*)l]

ΛΓ= a' csc(Mr) {ir7_,(o6)

— / exp(oi>cosi)cos(i'i) cK}

(a*+x*)-i[(ffl*+x*)*+a]-i •exp[-b(a*+x*)*]

ΛΓ= (2α)-*πβ<*ΕΓίο[(2αδ)»]

abi¥+f)-iK,[,aib'+m

i:oCa(ft*+2/*)*]

(W)*/-l{i&C(a^+2/^)»-a]} •i!^i{i6[(«'+^*+a]}

δΗ2τ ) -*ί: ί{Κ (6^+2/*)*-2/]} 'maZiV^+y^)i+y2}

2»6»T-J{Z5Bo((6*+i/*)J-i /)] •Ä,Öo((i'^+i /^)»+2/)]

.ÄiÖa((6*+3/*)i+y)]}

(^π)*(α«+2/*)^ . [ α + (α*+/) ί ]» exp [ -6 (a*+2/*)»]

2α' coslv arctan(i//6)] . ί: ,[α(6*+2/*)»]

2('/»-Ja-lr(i+i^)2/-i .[(6*+y2)l+6]lZ)_^ • iC2a((6*+^i+6)]»} •Mw2),_i{Ca(6*+j/*)*-6]}

α" csc(w) {π coa[y arctan(y/6) ] -I-laiV^+m

— j exp{ab cost) cosh (ay smt)

-cosivt) dt}

{2α)-^7Γ^ •Erfc{a*[(62+2/2)j+5-]i}

Page 29: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

4. Logarithmic Functions 27

2Nf(x) ΛΓ!/(2/)

104 ( a * - r ' ) - l e x p [ - 6 ( o * - x * ) i ] , x<a 0, x>a . [ /_i(«i)Fi(2^)+F_l(0i) /}( i2) :

2

105 x-^(i){a^-3?)-i{ [a- (a«-x*)»p a- 'r(H ' ' )r( i-v)(2Tj/)-» . exp[6(a*-x*) i ]+[a+ (a^-a?)*? ' ·βχρ[-6(α*-χ2)»:) , idz i '>0 .M_,._i{ap.-(6*-i/*)»]}, b>y

N=iia)W

•r(i+.)r(i-.)M,._i(2ai.)

4. L o g a i i t h m i c F u n c t i o n s

2ΛΓ/(χ) Ngiy)

106

107

108

109

110

—hgx, x<l 0, x>l N=\

log(a+a;), x<b 0, x>b

a>l N= ia+b) log(o+6) — a logo— 6

-il-x^logx, x<l 0, x>l J\r=|Tlog2

(a*+a^)-ilog(a*+a?), a > l i\r=o-Vlog(2o)

(a*+a^)-»-*log(a*+x*), a > l , n = l , 2 , 3 ,

Ar=o-*"B(i n) 2»-l

. D o g ( a / 2 ) - Σ m - 1

2/-i{sin(6j/) log(a+6) — cosiay) \ßiiay+by)—aiiay) ] +sin(ay) [Ci(ay+62/) - Ciiay) ]}

iπlog2Jo(^/)+i^ΓΣ«-V2„(y) n - 1

- K ' T { e - « « ' [ 7 - l o g ( 2 a / y ) ] -e« ' 'Ei( -2a2/)}

-η![(2η)!]-Η22//α) ' · Η

• { Χ „ ( α ί / ) [ γ - 2 Σ ( 2 m - l ) - I + l o g ( 2 y / a ) A

Page 30: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

28 Table I: Even Functions

2Nf{x) Ngiy)

111

112

113

114

115

116

117

118

119

120

N=ia-b)ir

(o*+x*)-i log{x-'Za+ (α*+χ*)»]} JVr=iir*

N=a

ix'-(^)-nogix/a)

log(l+a*a;-*) N=ira

—\ogia—x), x<a 0, x>a

a<l N=ail-loga)

— logia—x), x<b 0, x>b

b<a<l N=—aloga+6+ (a— b) log(a— b)

- log(o*-a^) , x<a 0, x>a

0<a<l Λ Γ = 2 ο ( 1 - logo)

-(o ' -x*)-»log(o*-a;*) , x<a 0, x>a

0 < o < l JV=irlog(2/o)

- log(o*-ar ' ) , x<b 0, x>b

b<a<l N=-ia+b)logia+b)

+ ia-b) l og (o -6 )+26

iry-\e-^-e-^) ± as 0 ^ 6

Jr*[7o(oj / ) -LoM]

i » 2 / - T H - L o ( o i / ) - 7 o M ]

|o~V[sm(oi/) Ci(a2/) — cos(o!/) s i (o3 / ) ]

^ - i ( l _ e - » )

- y-i{ sm(oj/) [Ci(o2/) - γ - l o g y ] — cos(o3/) Si(oy)}

—y-'{sm(6j/) log(o—6) +sm(oy) [Ci(oy) - Ciiay-by) ] - cos(oj/) CSi(oy) - S i (oy- by) ]}

y-^eoaiay) Si(2oy) +sin(oy) [7+log(y/2o) -C i (2ay) ]}

^T{C7+log(2y/o)l /o(ay) -hrYoiay)]

- r M s i n ( 6 y ) log(o*-6*) - cos(oj/) [si(oy+6j/) - 8 i (oy- 63/) ] +sin(oy) [Ci(oy+6y) - Ci(oy-6y) ]}

Page 31: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

4. Logarithmic Functions 29

2NS{x) Ngiy)

121

122

123

124

125

126

-Ca ! ( l -a ; ) ] - J l og [a ; ( l -x ) l a;<l 0, x > l iV=4irlog2

-(o«-x*)»-*log(o*-x*), x<a 0, x>a a<l, n = l , 2 , 3 , . J V = - a * » f i ( i H n )

. D o g ( a / 2 ) - £ ( - 1 ) " ^ - » ]

- (2aa ; -x ' )» - i log(2ax-x*) , x < 2 a 0, x > 2 a o < l , n = 0 , 1 , 2 , . . . Ν 2 a * ' ' 5 ( i H n )

. D o g ( 2 a ) + E (-1)"·»»- ' :

ra-l

n-1 F o r n = 0 , Σ ( ) = 0

0, x<a - l og{§x-»C(x+a )»+(x -o ) i : } , x > a

e-~(loga;)* N=a-^\:W+iy+loga)^l

( l + r ' ) - M o g [ x + ( l + x ä ) i ] •{[x+(l+x*)»]» -Cx+(H-x*)»r") .expC-6(l+x*)»]

n-1

'Kn,ib)Zm\in-m)T'}, n = l , 2 ,3 ,

-(7+log4y)/o(i l ,)]

-M2n)\in\)-K2y/a)--

• {In! Σ (§α2/)'»-»Λ.(α2/) Cm!(n-m) r

Η

+/„(oy)C2 Σ ( 2 m - l ) - i - 7 - l o g ( 2 i , / o ) ]

+| irr„(ai / ) )

-ir(2n)!(w!)-' cos(o2/) (22//o)-» n-1

• { § η ! Σ (ia2/)»-»[:»»!(n-m)r'/«(ai/) m-O

n-1 +Jniay)i2Z ( 2 m + l ) - » - 7

m-O

- log(22/ /a ) ]+ |TF„(ay)} n-1

F o r n = 0 , Σ ( ) = 0

hr'ihrMay)+niay)l

(o«+j/*)-i{ioir^+23/ arctan(3//a) + o [ 7 + | l o g ( a * + y * ) T —o[arctan(y/o) J }

n! cos[n arctan(2//6) ]

m-O

• C m ! ( n — 2 arctan(y/6) •sinCn arctan(t//6)]2i:nC(62+t/2)|]

Page 32: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

30 Table I: Even Functions

2ΛΓ/(χ) Ng{y)

127 l og ( l+e -« ) |[ay-*—in/-' csch(o->iry) ] ΛΓ=(12α) -ν

128 - l o g ( l - e - « ) - JCo2/-*-irj/-i ctnh(o-iir2/) ] Λ Γ = ( 6 ο ) - ν

5. T r i g o n o m e t r i c F u n c t i o n s

2Nf{x) Ngiy)

129 χ-*[8Ϊη(αχ) J Ma-h), y<2a 0, y>2a

130

131

(smaa/a;)2»«, m= 1,2,3, , . . iV=(-l)"»2i-2*«m7r

• £ ( - 1 ) · , ί ^ Γ ' V ^ 1 ( m + n ) ! ( w - n ) !

iV=iX-l)'^2-2'»-2(2^+l)-i - 1 - 1

. \ 2 n + l y.

132

133

134

lo—cosx)-*, x<ir 0, x>ir iV=xcscho

(α*+χ')->(1-2δοο8χ+6*)-ι, 6 < 1 N= o-V(e"+6)/2(e»- 6 ) ( 1 - 6*)

(a*+r')-»(l-26cosa;+6*)-», 6 < 1 ΛΓ= «•(β·+6)/2ο(ί?·-6) (1-6*)

(-1)"·2-*·>ΜΓ (m!)-V"-i

+ Σ n-l

y<2am 0, y>2am

(-1)"[(2οη+2/)*·»-ι + ( |2αη-ί / | )* '»- ΐ]

(m+n)! (m—η)!

ί ( -1)»2-* ' -*(2η+1)- ι

V 2 η + 1 ) (n+h-ihaW-' \ 2η+1 I

sinha ^

| a -»7r ( l -6*) - ' ( e" -6) - i

§ 0 - ^ ( 1 - 6 * ) - » • [e-^-\- {be-^- δ"+ 'β-*·) / (β-- 6) + (6e-«''-°»+6»+»e°«)/(e"-6)], y=n+5

0<δ<1, n = l , 2 , 3 , . . .

Page 33: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

5. Trigonometric Functions 3 1

2Nf{x) Ngiy)

135

136

137

138

139

140

141

142

(cosa:—cosS)-*, χ<δ 0, χ>δ

δ < π N=^Kismi8)

(cosx—cosS)*"*, x<S 0, χ>δ 0<δ<ΐΓ, v > - i

N= ihr)* sin'8r(i'+i)P=i(cos5)

(sinx)", x<ir 0, x>ir

a>-l N= 2 -«7ΓΓ(1+α) [ Γ ( 1 + | α )

(coar)", χ < 5 7 Γ

Ο, x>^ α > - 1

N= 2-^Vr(l+a) [ Γ ( 1 + | α ) J" '

sm[6(o*-r ' )»] , x<a 0, x>a

ab<K N=^airJiiab)

(o2_jj!)-lsin[6(o*-ar')*], χ < α 0, x>a

ab<w N=ihr)ibmhab)J

(o*- a^)-i cos[6(a*- ar») *] , a;< a 0, x > o

ai.<iir

(o*-x*)-icos[6(o*-x*)i], x < a 0, x > a

N=bKhr)*iJ-iihab)J

2Γ-hP-i+yicoaδ)

(iir)isin'5r(v+J)Pr2j(co8«)

2-«jrcos(j2/)r(l+a) . \Til+^a+hy) Til+^a-hy)

2-«-ΐΐΓΓ(1+α) . [ T ( l + i a + i y ) r ( l + i a - | 2 / ) r '

δΚ§'Γ)ί/ι{Κ(6^+ί/^)*-?/]1

Page 34: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

32 Table I: Even Functions

2Ni{x) Ngiy)

143

144

145

146

147

148

149

150

151

152

x~*ib—x)~^ ooa[ax*ib—x)*2> 0, a;>6

ab<ir N=TJoi^ab)

a;-*(o*-a^)-*cos[6(o*-x*)»l x<a 0, x>a

Λ Γ = 2 - * ( 6 / α ) Μ 7 _ ι ( α δ ) + [ Γ ( | ) ] - ι

exp(o cosx), x<ir 0, χ>π N=Tloia)

(cosa;)-*exp(—acosa;), x<^ 0, x>hr N=aKbr)HiI-iih)J-ima)J}

(cosx)"* exp(a cosa;), x<^ 0, χ>^π N=aKiirmi-i{h)J+ih(ha)7}

(siiia:)~*exp(—asiiLc), χ<π 0, x>w i V = ( ^ a ) M { [ / _ j ( | a ) r i ^ - [ 7 i ( | a ) T }

(ainx) -* exp (α sinx), χ<·π 0, x>ir i V = ( | a ) M { [ 7 _ i ( i a ) T + C / i ( i a ) T !

log[sec(|ira;) ] , x< 1 0, x > l ΛΓ= log2

logCcsc(iri;)], x<l 0, a ;>l N= log2

[cos(ira;/2) ] · - ' log[sec(ira;/2) ] , x< 1 0, .τ>1

i ' > 0

ΛΓ=2ΐ-'Γ(>') [ 1 ( 1 + 5 " ) 1"' . C l o g 2 - ^ ( v ) + ^ ( H i ^ ) ]

1Γ cos(|6j/)

( i i r ) ¥ . J _ i { K ( 6 * + i / * ) i - 6 ] }

»r/y(α)+sin(ir2/) exp(— α coshi— i/i) dt

aKhr)* •iI-i-iyiha)I-HUha) -/ΐΗΗ,,(|α)7Μ»(*α)]

a H k ) » 'U^iia)I-Myiia) +7ι_ΐν( |α)7}+, . ( |α) ]

( l a ) M c o s ( i ^ y ) .[7_i-}„(|a)7_jHH,(|a) - 7 j _ i . ( | a ) 7 j + 4 . ( i a ) ]

( J a ) M cos(ix2/) .C7_j_j.(ia)7_i+j,(ia) +7 i_} . ( i a )7 j+ j , ( i a ) ]

2 / - ' s i n y • { 7 + l o g 2 + i f C l + ( 2 / A ) : + | ψ [ 1 - ( 2 / Α ) ] }

//-' siny • { 7 + l o g 2 + | f [ l + ( 2 ^ ) - ' 2 / ] +i lACl - (2 / / 2x ) ]}

2 '-Τ(ν)ίΓβ+§.+ ( 2 / Α ) ] } - ' • { Γ Ο + έ . - ( 2 / Α ) : } - ' • { l o g 2 + | ^ [ H i " + ( 2 / A ) ] +m+¥-iyMl-H^)]

Page 35: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

5. Trigonometric Functions 33

2Nf{x)

153 (sinira;) log[csc(πa;) ] , x< 1 0, x>l ' {rih+iv+ ( ί / /2χ ) ]Γ[Η*' ' - (y/2r)2

• { l o g 2 + i ^ [ H | . + (2//2T)] Λ Γ = 2 ' - ' Γ ( . ) [ Γ ( Η | ρ ) ] - ' ' + i i A [ H I " - ( y / 2 T ) ] - ^ W )

• D o g 2 - ^ ( v ) + ^ ( H i . ) ]

154 -(o*+x*)-ilog(C*sm*6x), C<1, -a-iir{cosh(o2/) log( l -e -*^) b>0 m

Λ Γ = - α - ' π + Σ s inh[a (y-26n) ] • log{§C[l -exp(-2aö) :} n -1

+ log(iC)e-«'), ' » < ( 2 / / 2 6 ) < » i + l , m = l , 2 , 3 , . . .

m

F o r m = 0 , Σ ( ) = 0 n -1

155 -(o*+a^)-ilog((7*sm*&t), C < 1 , -a-V{cosh(a2/) log(l+e-2«6) &>0 + l o g ( i C ) e - ^

Λ Γ : a-h- m

• logÖC(l+e-*^)] + Σ ( - l )"n - ismhCa (3/ -26n)]} , n - 1

» i < ( 2 / / 2 6 ) < m + l , m = 0 , 1 , 2, 3, . . .

m F o r m = 0 , Σ ( ) = 0

n -1

156 - (α*+χ*) - ι - α V{cosh(ai/) l o g ( l z t e - ^ ) • logßc* cosh8±|c* cos(6a:) ] , + (iö+logic)e-««'

c cosh (5 /2 )< l TO + Σ (=Fl)"w->e-^sinh[a(y-6n)] | ,

+ l o g Ö c ( l ± e - ^ ) : } n -1

wi<(2 /A )<OT+l , TO=0,1,2,3, . . .

F o r m = 0 , Σ ( ) = 0 n -1

157 (α*+χ*)-ι a-V{cosh(a2/) l o g ( l d b e - ^ ) •logßc* coshSzbfc* co8(6a;) ] ,

c 8inh( |5) > 1 m + Σ (=F)'»n-ie--«sinh[a(2/-6n)]},

+ l o g Ö c ( l ± e - ^ ) ] n -1

m<{y/b)<m+l, m = 0 , 1 , 2, 3, . . .

F o r m = 0 , Σ ( ) = 0 n -1

Page 36: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

34 Table I: Even Functions

2Nf{x) Ng{y)

158

159

160

161

162

163

—a;-*log[cos*(ax)], o > 0 Ν=ατ

JV=Ta-Mog[cosh (αδ) ]

(cosx—cos5)-* • log(cosx— cos5), x< δ

0, χ>δ 0<δ<2ν

Λ^=7Γ2-*[27Γ-»ί:(8ίηδ/2) log(sini) -ii(cos|a)]

sin(asinx), χ<π Ο, χ>τ

α<ΐΓ iV=irHo(a)

sin(ocosa;), χ<π/2 Ο, χ>τ/2

0<7Γ ΛΓ=|πΗο(α)

cos(acosa;), χ<ν/2 Ο, χ>ιγ/2

α<|ΐΓ

ox{ l - (o - i log2)3/ τη

- α - » Σ (-1)"η-Η2 / -2αη)1

m<y/2a<m+l, ?η=0,1 , 2, 3, . . . η»

F o r m = 0 , Σ ( ) = 0 η-1

ira-»{ai>-log2(ai/+e-"') +cosh(oy) log(l+e-*»»)

τη + Σ {-l)'*n-i-Csinh(ai/-2o6n)

n -1

+sinh(2a6n) - ay cosh(2aön) ]} m<y/2h<m+l, m = 0 , 1 , 2, . . .

F o r m = 0 , Σ ( ) = 0 n - 1

«-2-i{P_}+,(cos5) • Dog(sm5)- 7 - l o g 4 ^ ^ ( H 2 / ) ] -Q-i^icoaδ)}

| π ctn(|7ry) [J ,(a) - J-n,(a) ]

iir cosec(|ir2/) CJv(a) - J_„(a) ]

| i r sec( iT2 / ) [J«(a )+J - , (a) :

Page 37: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

5. Trigonometric Functions 35

2Nf{x)

164

165

166

167

168

169

170

171

cos(asinx), χ<τ 0, x>r

Λ Γ = τ Λ ( α )

(sinx)-* sm(2o sinx), x<ir 0, x>ir

a < | i r N=aWiia)J

(sinx)"* co8(2o sinx), x<ir 0, x>v

a<7r /4 ΛΓ=αΜ0λ_ι(ο)?

(cosx)~*sin(2acosx), χ < π / 2 0, x>ir /2

a< i r /2

(cosx)-* cos(2o cosx), x<ir /2 0, x>i r /2

α<τ/4

(sinx)-* sm(2o sinx), x < x 0, x>ir

a<v/2 ΛΓ=2(ατ)*{[/_ι(α)] '+[7ί(α)Τ)

(cosjx)"^ sin(2a cos^x), χ<π

0, Χ > 7 Γ

α<π/2 N=2{aT)mj^{a)J+[Ji(a)J]

(co&r)"* exp(—^α^ secx), χ < ^ τ γ

0, χ > ^ π

Ng{y)

kCJi / (a)+J- . (a) ]

|αΜ/_^44^(α)/ΗΜν(α)

2(α7Γ)*οο8(|π2/) • [./-i-4i/(«).^-i-Hv(«)+.^!-ii/(a)^fHv(ö) ]

2(απ)»[./_ι_,(α)/_4+ν(α) +/}+^(α)./}^ι;(α)]

Page 38: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

36 Table Is Even Functions

2Nf(x) Ngiy)

172

173

174

175

176

arctan(2aya:*) N=air

arcsina;, x< 1 0, x>l i V = J i r - l

arccosa;, x< 1 0, x>l N=l

x~^ arcsina;, x< 1 0, a;>l iV=|Tlog2

arctan(a"a;-"), n = 2, 4, 6, . . . N=^air

• Σ ( - 1 ) · ^ » ο ο 8 [ ( » η + | ) ( τ / η ) ] m - l

vy ^e~^sm(ay)

|π2/->[8Ϊην-Ηο(ί/)]

|ΐΓΐ/-Ήο(2/)

KCi(2/)-Jio(2/)

-hry-' η

• Σ ( - l ) ' » e x p { - a 2 / 8 i n [ ( m - | ) ( V n ) ] }

•sinfoi/ c o s [ ( w - i ) (π/η)]}

7· Hyperbol ic F u n c t i o n s

2Nf{x) Ngiy)

177 sech(ax) ^ar^w sech(ia~^7ri/)

178 [sech{ax)y ^or^Ty cschi^ar^wy)

179 \ßech{ax)y N=iar'T

ia-^ir{a^+y^) sech(^t//2a)

180 [sech(aa:)]2^ n = 2 , 3 , 4 , . . . Ν=2^^-χα(2η-1)\Τ'

•C(n -1 ) !T

22'»-ia-V[(2n-1) csch(7ry/2a)

m - l

6. Inverse Tr igonometr i c F u n c t i o n s

Page 39: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

7. Hyperbolic Functions 37

2Nf{x) Ngiy)

181

182

183

184

185

[sech(ax) ]*"+', » = 1 , 2 , 3 , ΛΓ=2-«"-'α-ΊΓ(2η)!(η!)-*

X csch(aa;) N=iWa)'

co8h(aa;) sech(6a;), a<b N= (ir/26) 8ec(air/2&)

siiih(oä:) sech(6x), a<b

N= -6-» 2

IT tan (1)

sinhiax) csch(6a;), a<b iV=i6-'irtan(air/26)

186 l - tanh(aa;) iV=a-ilog2

187

188

189

a^Ka;"'-cscha:), - l < s < 1 ΛΓ=2Γ(8) ( 2 - - 1 )

a;-*sinh(aa;) sech(6a:), O<6

•l+sm(OIR/26)

^ 2^*'^Ll-sm(OIR/2&)J

a;-'[sinh(aa5)Jcsch(6x), a < | 6 iV=-§log[cos(OIR/6)]

2 « " - ' a - V [ ( 2 n ) s e c h ( 5 R 2 / / 2 a )

• ri iirn-h)'+iy'/^')l m - l

(ir/&) cos(air/26) cosh(iiV26) • [cos(air/6)+cosh(iry/6) ]- i

4

+27rsin

|6-%-sin(oir/6) + [cos(air/&)+cosh(iry/i>)]-'

i a - ' [ ^ ( V 4 a ) + ^ ( - V 4 a ) -^ih+na-^)-^ih-ila-'y)l

- ( s - l ) - I R « • {2 - (s-1) [f(8, Hik)+r(s, | - % ) ] -j/'-'sin(|ir8)}

•co8h(ir2//2&)+sin(oir/2ft) 2 Lcosh(ir!//2&) - sin(oir/25) J

1 Γ l+C08h(iry/6)

4 °^Lco8h(iii//6)+co8(2airA)J

Page 40: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

38 Table I: Even Functions

2NJ{x) Ng(y)

190

191

192

193

194

195

196

197

198

iV=log2

(α*+χ2) sech(7rV2a)

x{a^+3i?) csai(Tx/a)

(l+x2)-^sech(7rx) Λ Γ = 2 - | π

{l+x'y'seMhrx) iV=2-^[π-21og(2*+l) ]

( l+r^)- isech( | i rx) Ar=log2

xiM)-' cscHirx) iV=i (21og2- l )

(ar^+l)~^sinh(ax) csch(7rx), α < π N= sina log (2 cos Jo)

—|a cosa

(χ2+1)-ι cosh(ax) sech(jTa:), α<^τΓ

N= a sina +cosa log(2 cosa)

199 (l+x^)~^ sinh(aa:) csch(iπx), α < ^ 7 Γ

Λ^=^π sina — cosa log[ctn( Jtt— a) ]

log(H-e-'«')

2a3[sech(ay)]3

fa^[sech(|ai/)]4

2 cosh(Jt/)-ei' arctan(e-*») —e"^arctan(e*i')

2~*{πβ"^+2 sinhi/ arctan(2~* cschi/) — (coshy) log[(cosh2/+2-*) . ( c o s h 2 / - 2 - i ) - i ] }

hye-y-h+GOshy log(l+e-^)

he~y{y siny—a cosa) + i sina cosht/ log(l+2e-^ cosa+e'^v) —cosa sinhy arctan[sina(e*'+cosa)"'^]

ye~y cosa+ae~y sina

+s ina sinhy arctan e-^y sin(2a)

Ll+e-2ycos(2a)J

+ J cosa cosh?/ • log[ l+2 cos(2a)e-2i'+e-4«']

Jtt sina6~*'

— - cosa cosh?/ log 2

coshi/+sina Lcoshi/—sina.

+s ina sinh?/ arctan (cosa cschy)

Page 41: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

7. Hyperbolic Functions 39

2Nf{x) Ng{y)

200

201

202

203

204

205

206

207

208

209

210

x"^ csch(cx) [cosh(aa;) — cosh(6a;)], c>a>b

N=\og cos(|7r6/c)

Lcos(iira/c)J

[cosh(aa:)+cos6]-S 0<6<i r N= ar^h csc6

[cosh (oa;)+cosh6]"^ iV^=a~^6csch6

cosh ( l ax ) [cosh (αχ)+cosh6]"^ i \ r= |a -% sech(i6)

cosh(|ax) • [cosh(ax)+cos&]-\ 0<6< i r

iNr=|a-Vsec(f6)

{l+2cosh[(f7r)*x]}-i

(coshx+cos6)~*, 0 < 6 < π

(coshx+cosh6)~* iV=2*sech(i6)ir(tanh|6)

(coshx— cosö)-*, 0 < 6 < 7 Γ

(cosha— coshx)-*, x< a 0, x>a iV=2V sech(Ja)Z[ tanh( ia ) ]

0, x<a (coshx— cosha) - i , x> a i \r=2*sech(ia)/i:[sech(ia)]

cosiirb/c)+cosh (wy/c)

2 Lcos(Ta/c)+cosh(7r2//c) J

a csch smh(by/a) csch(7ri//a)

a~V cscho sin(6i//a) csch(^i//a)

|a"Vsech( |6) cosh{by/a) •sech(n7//a)

Ja~Vsec( |6) cosh(a""%) •sech(a~Vy)

( |7r)Ml+2cosh[(f^)V]}-i

2-^TP-^^iy{cosb) sech(7ry)

2-*7r^_i+iy(cosh6) sech(7rt/)

2r^iQ-i+iy{co^)+Q-^iy{cosb) ]

2-^7r^_4+,j,(cosha)

2-*[0-Hti/(cosha) + 0 _ i _ t y (cosha) ]

Page 42: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

40 Table I: Even Functions

Ng{y)

211

212

213

214

215

216

217

218

219

220

[sech(aa:)]', i '>0

(cschoa;)', 0 < i ' < l

(cosha+cosha;)-', i '>0 N= (sinho)-O,M-i(ctnha)

[cos?>+ coshxjr', v>0, 0<6<i r

JV= (|ΙΓ)»Γ(Ι') (sm6)i-'PL7(co86)

(coshar— cosho)-', x> a 0, x<a

0<v<i N=i{2ir)h-'"{8iaha)i-'T{l-v)

•QL";*(cosha)

(cosha—cosha;)-', x<a 0, x>a

v<l N= (sinha)-Q_,(ctnha)

8ϊώ[6(α*-χ*)*], x<a 0, x>a Ν=^ατΙι{<ώ)

(a*-ar')-icosh[6(a*-x*)»], x<a 0, x>a

(a^-3?)-ismh[b(a^-m x<a 0, x>a N=hKh^Kh{hob)J

(a*-r')-lcoshC6(a*-x*)*], x<a 0, x>a iV=6i (k) i [7_i( iat )T

i a - M C r ( i . ) r ( H J ' ' ) r •n\v+iha-'v)Vl\v-i{y/2a):\

2 'a-%sin(§w)r( l - ; ' ) . [ r ( i - i . + i i 3 / / « ) r ( i - * ' ' - I V « ) ] - ' • cosh {Ty/ 2a) [cosh(ir2//a)—cos( w )

(ir /2)»[r(i')rHsmho)i-' • r(^+ti/) r(^-%)^Llii.i„(cosha)

(k )» [ r (v ) rHs in6 ) i - ' 'T{v+iy)nv-iy) ·Ρίΐίί..„(οο8δ)

i ( 2 i r ) - i e - ' T ( l - i ' ) (sinha)*-• [OL-jl,„(cosha)+0'Ll*+<„(cosha) ]

(|7Γ)*Γ(1-Ι') (sinha)*-' .^Lli..„(cosha)

\aiyK{f--H')-^JW-m, y>b ifl-a6(6*-j/*)-*/i[a(6*-2/*)*], y<b

^TJoiaiy^-m y>b

hTloia{l^-m, y<b

2riirWi{haiy-{y'-m] •Ji{haiy+if-m

bKhr)*J-i{haiy-iy'-m} •J-iihiy+iy'-m

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7. Hyperbolic Functions 41

2NS{x) Ng{y) 221

222

223

224

225

226

227

228

229

230

231

232

x-«(o«-x«)-*cosh[6(a«-x2)*], x<a 0, x>a ΛΓ= 2 -»(6/o)M|T(f) T'I-i(ab) exp(— a cosha;) cosh(6 sinha;), o > b

x-h-^ 8mb{bx) N=hlogi{a+b)/ia-b)2

(e^+l)-»sinh(oa;), a<b Ar=|6-%csc(oi.- 'T)

(e^- l ) - i s inh(oa ; ) , o < 6 Λ Τ = | [ δ - ν c tn(aT/6)+a-»]

e-"[smh(6a;)]', > ' > - l , bv<a Λ Γ = 2 - ^ ' 6 - Τ ( ΐ ' + 1 )

•ΓίΙίΛ-ΐ-Ιΐ') •crd+i . '+ iafe -or'

exp(—fea; ) cosh(oa;) Λ Τ = | ( τ / 6 ) * β χ ρ ( - ν / 6 )

a;-*exp(—a;^) smh(a;*)

x - " * e x p ( - o V ) smh(oV) Ar=2*OT-i

exp(—6a;) smh(aa;*)

ctnh(6a;*) tanh(6a;»)

χ-* sech(ax*)

ibr)¥l-uhaib-{l^-m} -I-il^aib+{l^-m]

Kiyi{a^-m cosCi/ i&nh-Kb/a) ]

1 [y'+ia+by 4 °^Lj /*+(a-6)»J

6-*T sm(air*ir) cosh(6-V2/) • [cos(2&-Vj,) -cos(2o6->ir) ]"> -haia'+y")-'

§6-V sm(2ao->ir) [cosh (26-^2/) - cos(2ai»-V) T'+Ma^+y")-'

2-^''b-'T{v+l)

mb-\a+h+

Γ [ | 6 - ' ( α -Ha-bp+iy)3 ] a+bp+iy)+l^ mb-Ko

|(«/ft)*cos(|a2//6) exp[Ka«-2/*)/6]

(iir) Μ e x p ( - - 2-*π% Erfc(2-»j,)}

24a«- i{exp(- ia -V) -2-*o-'yexp(-2/yi6a=') ΕΓίο(2-»ο-Ί/))

W(ö^+2 /^)i βχρ{α^6[4(δ^+ί/^) Τ'} •cos[f arctan(6->3/)-ia^(62+2/2)-i]

See Morden, L. J. (1920). Messenger Math. 49, 65-72.

Äee Morden, L. J. (1939). Acta Math. 61, 323-360.

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42 Table I: Even Functions

2Nfix) Ngiy)

233

234

235

236

237

238

239

240

241

(a^+x^)-^ smh[6(o«+r ' ) i : •8ech[c(a2+a:2)i], b<c

Ν=ΐΓ0-'Σ { ( - l ) " s i n [ ( n + | ) 6 T / c ] n-O

'i{n+h)'W)+a'T^]

(o«+a2)-icos[6(o''+x2)»] csch[c(a' '+r ') i] , b<c

i V = | w - i £ { ( - l )»e„ n-O

• ia^+ (nV/<?) yi co8[nir{b/c) ]}

coab.[b{a^+x')i2 •sech[c(a2+x!')i], b<c

iV=c-VE{(-l)"(n+|)

.οο8[(6Α)(η+|)π]}

—log(l—e-'^) coshx ΛΓ=1

[cosh(aa;) Jr' log[cosh(oa;) ] , v> 0

log( l + c o 8 a sechx), o<ir

coshx log (2 coshx)—X sinhx N=hr

log[ctnh(aa;) ]

log(l+a-*sech*x)

N={logi{l+a-^+a-'T

{(-1)"8ίη[(«+|)(6Α)τ] n-O

•exp(-2/[(n+|)»(»yc»)+a»]i)}

^ n-O

• C08C(i.A) wt] exp( - yla^+c-Wy) j

c-VE((-l)"(n+|)[a^+(n+i)» n-O

.(^y(^)]-*co8[(n+§)T(6A): •exp(-2/[a^+(n+i)»(,ry(i)J)}

(1-^(1+2/^)-* +W(l+2 /»)-itanh(|7r2/)

2 ' - T a r w r M m.+iK2/A)] I' . ( i A W - i o g 2 - R e { ^ ß . + i K y A ) ] } )

IT«/-' csch(ir2 /)[cosh(Jiri/)—cosh(a2/)]

i7r(l+2/2)-igech(|T2/)

2irj/-' C8ch(|in/) •8m«{i2/logC(l+a-»)»+o-':)

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7 . Hyperbolic Functions 43

2Nf{x) Ng{y)

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243

244

245

246

247

248

249

—log( 1— sech^x), a< 1 iV= (arcsina) 2

log[_{h+a sechx) (6—α sechx)"^] iV=irarcsin(a/6)

(coshx+cos5)~* • log(coshx+cos5), 0<δ<τΓ

iV=2-^7r[log(sin5) •27r-iü:(sin|5)+^(cos|6)]

(coshx+cosha) "^log(coshx+ cosha) N= 2-^7r[sech(ia)ü:(sechia)

+log(sinha) •(2/7Γ) sech(Ja)ü:( tanh|a)]

— (cosha—coshx)"* • log( cosha— coshx), x < α

0, χ > α cosha< 2

iSr= 2-*7Γ{ 27r-Mog(sinha) •sech( |a)i i :[ tanh(aj)] -sech(Ja)ü:[sech(Ja)]}

log cosh(ax)+sin6

Lcosh(ax)—sin6j

N=Tar'h

cosh(ax)+coso log

L cosh (αχ)+cose J

Ar=i(c2-62)/a, c>6, c,6<7r

(coshx—a) ~*

, Γ (coshx+1) *+ (coshx— a) * * los ~—

L (coshx+1) *— (coshx— a) * J

27Γί/-ι csch^TTi/)

•sinh^di/arcsina)

ΤΓΙ/"^ sech.(^Ty) sinh[y arcsin(a/6) ]

2-*7Γ sech(7ri/) {P-4+.v(cos6) • C - 7 + l o g ( s i n 5 ) - l o g 4 - J ^ ( H t 2 / ) - J ^ ( J - t 2 / ) ] +iQ-i+.y(cosö)+iQ_i_v(cosö)}

2r^T sechiiry) {^_j+t, , ( cosha) • C"~ y~ log4+log sinha -m+iy)-mh-iy):\ +iQ_i+.y (cosha)+ iO_i_tv (cosha)}

—2"*7Γ sech(π2/) { $ _ j + i y ( cosha) • [log(secha)—7— log4

—|Q_j^-ty(cosha) —|Q_j_ty(cosha)}

wy-^ smh(hy/a) sech{^y/a)

vy ^csch(π^//α) • [cosh(ci / / a)—cosh(62// a) ]

2"i7r2[sech(7r2/)]2p_j+,,(a)

ΛΓ=2*πϋ:[( | - |α)*] a < l

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44 Table I: Even Functions

2Nf{x) Ngiy)

250

251

252

253

254

255

256

257

258

exp(—osinhx) Λ Γ = | π [ Η ο ( α ) - 1 Ό ( α ) ]

exp(—ocosha;) N=Koia)

(sinha;)-* exp(—2a sinha;) Λ Γ = | τ ( α π ) *

.C / i (a ) r_ i (a ) - / _ j (a )F j (a ) ]

(coshx)-* exp(—2o coshx) N=ia/T)iZKiia)J

(coshx)-* exp(— 2o coshx) N^2ir-iaimia)J-iKiia)J]

[sech(ax) ] ' exp {- 6[sech (ox) J } N=2'-''a-'Bi^v,^v)

· ι ί Ί ( Ι " ; Η | ν ; - 6 )

(sinhx)-* exp (—a cschx) N=aihr)H[Jii^a)J+iYiiha)7}

sinh (o cosx), x < Jir 0, x> i i r iV=|^Lo(a)

sinh(osinx), x<v 0, x>ir Ar=7rLo(a)

2591 cosh(ο sinx), χ<π 0, x>ir N=irIoia)

260 cosh(ocosx), x < | i r 0, x> i i r N=Whia)

5ο,<»(α) = — csch(ir2/) • [Λν(α) - / -<ν(α) - J<„(a)+J_,„(o) ]

Kiyia)

Mair)KJi-iiyi(^)Y-^ivia) -•^-i+<ii/(a) I'i+h/Ca) +/i+<}v(a) Y-i+iM-J-i-iiiiia) 'Yi-iivia)l

ia/ir)iK^MKi-ihi<^)

2ir-iailKi+ii,ia)K^i,ia) -Ki+n„ia)Ki-nyia)2

2-wi>)r'\mv+my/a)3\' •^I^p+ihiv/a), l ^ - i M i z / a ) ; h", H I " ; - 6 3

2*Re{r(Hii/)ö-i-.»C(2m)*: .D_i_„[(-2ia)*]}

-itir csc(|ir2/)CJ,(Mi)-J_»(ia)]

- | i i r ctn(|ir?/) υ,(ίο) - J_,(io) ]

|^CJ»(ta)+J-„(io)]

Jirsech(|ir3/)CJv(«»)+J-v(ia)]

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7. Hyperbolic Functions 45

2Nf{x) Ng{y)

261

262

263

264

265

266

267

268

269

270

(sina;)-* sinh (o sina;), a;<ir 0, x>T

(sinx)"* cosh (a sinx), χ<τγ 0, χ>τΓ

i V = ( | a ) M [ / _ i ( i a ) T

(secx)* sinh (a cosx), χ < | π 0, x> | i r N=aKhrKh{h)J

(seca;) * cosh (o cosa;), x< |ir 0, x>hi-

(csca;)*sinh(2asinx), χ<τ 0, x>x JV=2(air)»{ [/-!(«) T - [ I j ( o ) T }

(seca;)*sinh(2acos^a;), x<ir 0, a;>ir N=2{anmi-iia)y-iliia)7]

Csech(aa;) ] ' • cosh[6 sech(oa;) ] , v> 0

N=2r^a-^B{h,h)

[8ech(ox) ] ' • sinh[6 sech (ax) ], v> 0

iV=2'- 'a->6B(i+iv , i+iv)

arctan[sinho sech(6x) ] N=hra/b

(l+cäsinh«a;)-i' • coshQj» arctan(c sinhx) ] , 0<i'< 1

ΛΓ=(Ν«)»Γ(ν ) • ( i -c*)J- i 'PL7(c- ' )

(^a)M c o s ( W )

Ί-i-iyiha)

2(air)*cos(§irj/) •C^-i-i»(o)/-i+|»(o) -7|+j,(a)7l-ii/(a)]

2(αΐΓ)«{7_ι-,(α)7_Ηι,(α) -7i_,(o)7}+,(o)}

2 ' - ΐδ[αΓ(1+ι/)]-ι I r ( i + § v + % / a ) |*

sm{ay/b) sech(|irj//6)

(Wc)»[r(.')]->cosh(W) • | r ("+ iy ) |Mi-c^)*-»'P*-lW'^')

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46 Table I: Even Functions

2Nf{x) iVi/(2/)

271 |Γ(α+Μ;)Ρ, α>0 2ν=2-2·πΓ(2α)

2-^r(2a)[sech(ii/)J»

272 \Τ{α+αχ)τα-α+ιΙχ)\·^, 0 < ο < ^ ΛΓ=[6ΐΓ8ίη(2αΐΓ)]-ι

[6ir 8ίη(2αΛ·) ]-i^2<_iCc08h(ijr/6) ]

273 I T{\+ibx) \* Ν= ( 6 ι γ ) - '

26-%-« aeoh{ly/b)Klt&MWb) 1

274 I T{b+iax)Tic+iax) Ρ Λ Γ = 2 ΐ - ^ Μ ο - Τ ( 2 6 )

.r(2c)r(&+c)[r(H6+c)r

2»-*-«ο-Ίγ*Γ(26)Γ(2ο) •r(6+c)[sinh(W«):*~^ .^tc_iCcosb(Va)]

275 I Tia+icx) ΡI r(6+ica:) Μ, 6 -ο>^ ΛΓ=2»-2^ν-Τ(2ο)

· 5 { 6 - α - ϋ ) | Τ ( 2 6 - 1 ) ] - '

i(2ir)i2^<ri[r(6-a)r' .Csinh( 2//c)T-<^ •e-"("-W)iD:;Ji|Cco8h( V c ) ]

276 CI Γ(Ηίχ) i c o s h M r JV=2»T-ilog(l+2»)

2»ΐΓ-ί(οο8%)-» .logC(l+co8hy)»+(co8hi,)*]

277 a; Erfc(oa;) ih-'+r') eM-hJ'/a^-y-'

278 Erf c (αχ) ΛΓ=ο-ΐπ-*

a->x-*iFi( l;f;- ia-V) or -i2/-"exp(-2/y4a«) Erf(|ia-'2/)

279 x->CErfc(ox)-Erfc(6x)l o < 6 ΛΓ= log(V«)

iCEi(-2/y4a«)-Ei(-2/y46*)]

280 x^iErfc(ax), i '>0

ΛΓ=ο-ν-ν^Γ(Η^'')

a-V-V-»r(Hiv)

281 —ia;-iexp(—α^χ^) Erf(iax) iirErfc(ia-V)

282 Erfc[(ax)»] ΛΓ=§α-ι

(ia)»C(«*+l/*)*+a]-i(a«+i/«)-»

8. G a m m a F u n c t i o n s ( Inc lud ing I n c o m p l e t e G a m m a F u n c t i o n s ) a n d R e l a t e d F u n c t i o n s

Page 49: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

8. Gamma Functions and Related Functions 47

2Nf{x) Ngiy)

283 Erfcfa[6+(B«+x2)»J} i\r=|a-«exp(-2o»6)

2-*oexp(-a«6)(o<+2r')-* . [a«+ (0*+^)*]-» e x p C - K o H - ^ * ]

284 Erfc / l + c o s x V '

. \ cosx / . , x < t / 2 exp(-a«)Z)^i(2»a)i)_^i(2»a)

0, i\r=i7rCErfc(a)]

χ > π / 2

285 Erfc(o coshx) ΛΓ=ΑΕί(-α*)

h-'eM-W)W-i.iiy{a^

286 exp[(a coshx)«] Erfc(o coshx) N=^expiW)Ko{W)

heMW) sech{^iry)Kiiy{W)

287 —i exp(—0« cosh«x) Erf(Mi coshx) N=hireM-W)Io{W)

2 - V e x p ( - | a « ) s e c h ( ^ ) • [ / i . (W )+ / - .v (^«^ ) ]

288 Erf[6sech(ax)] iV=eri6ir»2F2(iJ;!

a->6irisechßir(2//a)] • sF iÖ+ÜCs/a) , i - ^ i ( i / / a ) ; 1 , 1 ; - δ ' ]

289 (sechx)* exp(o* sechx) •Erfc[a(H-sechx)i]

N={2ir)-iaiKiiW)7

sech(ir2/)D_H.<v(2*a)i)-4-.v(2*a)

290 exp(aV) Erfc(ax+6) Ν ^ -»o-»Ei ( -62)

-ix-»a-iexp(i2/ya«) Ei[-(6«+ij /ya«) ]

291 - E i ( - a x ) y~^ arctan(2//a)

292 - E i ( - 6 x ) , x < o 0, x>a ΛΓ=6- ΐ -οΕ ϊ ( -αό )

-2/-i[sin(ay) E i ( - a 6 ) —arctan(2//6)—Ei{—ab—iay) +iiEi{-ab+iay)2

293 - β - « Έ ϊ ( - 6 χ ) i \r=a-»log(l+o /6) , a>-b

{a^+y')-Hy arctan[y(a+i.)-i] + ia logC(l+a /6 )«+2/y6«]}

294 -Έϊ{-ω?) N=iw/a)i

vy-' Erf (12/0-^)

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48 Table I: Even Functions

2Nf{x) Ng{y)

295

296

297

298

299

300

301

302

303

304

-exp(aa^) ΕϊΖ-{ω?+1)·} Ν=^αή Ετίφ)

ΕΪ(αχ) - e " Ei{-ax) ]

exp{—aa?) Ei(ox«) -exp(ox«) Ei(—ca?)

-€ i "E i{ -a [ (6«+r ' ) i+a ; ]} - e - « E i { - a [ ( 6 « + a ? ) i - x ] }

N=2a-^Koiab)

— exp(o cosha;) Ei(—acosha;) Ar=Jir«[7„(a)-Lo(a)]

+i [S_ i .o ( i a )+S_ i ,o ( - i a ) ]

exp(—acosha;) Ei(acoshx) JV=|ir«[7„(a)-Lo(a)]

- i [ S - i . o ( i a ) + S - i , o ( - t a ) ]

exp(—acoshx) Ei(a coshx) — exp(acoshx) Ei(—acoshx)

Si(6x), x<a 0, x > a iV=oSi(a6)-26- 'sin«(ia6)

e-^SKax) N=b~^ arctan(a/6)

[s i (ox)J

^Λ-*βχρ(ν/α) Erfc(ii/a-l+6i)

•arctan(o/j/)

§A-l[exp(i2 /ya) Encihya-i) +texp ( - i2 /ya )Er f ( i i2 , a - i ) ]

2α(α«+2/«)->ΧοΡ>(α«+ι/«)»]

-iT«[csch(Ti/) Τ[7.ν(α)+7_ν(α) -exp(iir2/)J,„(ia) -exp(-i ir2 / )J_<,(m)]

^7r«Ccsch(xj/) T{cosh(^i/) [7.ν(α)+7_„(α) ] -exp(iiry)J . - , (-«i) -exp(-|iri/)J--<v(-Mi)}

ir«[csch(7r2/) ]« sinhiJirj/) .{8inh(W) [/.·»(«)-/-.·.(«)] +J .»(ia)-J- .v(ia)}

§ν->{2 8ίη(02/) Si(a6) +Ciiay+ab)-Ci{\ ay-ab |) +log( | (2/-6)/(2/+&) I)}, y^^b

i6->[2sin(at) Si(oi.)+Ci(2a6) - T - l o g ( 2 a 6 ) l y=b

i(62+i/«)-i{6 a rc tan[ (a+y) /6 ] — 6 arctan[(i/—a)/&]—52/ •log[ft«+(2/+a)«] +i2 / log[6*+(«-2/) ' ]}

^2rMog(l+2/)a-', 2/<2a ^TT^ log[(2/+a) (y-α)"»] , 2/>2o

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8. Gamma Functions and Related Functions 49

2Nf{x) Ng(y)

305

306

307

308

309

310

311

312

313

314

315

[Ci(ax)T

— [sin(oa;) ai{ax)—coaiax) Ci(ax)]

ainiaa?) Ci(aa^)-cos(ox*) si(ar«) N={hir)*a-i

— [sin(aa:*) u{(u?) +cos(or ' ) Ci{a3?)2

N=a-i{hry

sm(o coshx) Ci(a coshx) —cos(o coshx) si(o coshx)

ΛΓ=ΐΐΓ«[Ηο(α)-7ο(α)]

— cos(o coshx) Ci(a coshx) — sin(a coshx) si(a coshx)

ΛΓ=5-ι,ο(β)

Ih-C {0x^)2 coaita?) + β-5(αχ«)]8Ϊη(οχ«)

ΛΓ=Κπ/2α)*

S(ax-i) N=a

x-Mcos(aa^) [0(αχ«) - S(ax«) ] +sin(ox') ZC{ax')+S{ax?) -1]|

N=iir

cos(a coshx) ß — S{a coshx) ] — sm(o coshx) [§— c(o coshx) ]

i V = W P ( i ) Ä j . o ( a )

cos(a coshx) ß — C(o coshx) ] +s in (o coshx) [|— S (o coshx) ]

iV= |T -»P( i )Ä_ i .o ( a )

§irir ' log(H-iia->), y<2o hnr'logiy'a-^-l), y>2a

+ c o s ( i j / y a ) Ö - C ( i i / y a ) ] }

(2α)-»π*{ cos(2/y4o) ß - Siy'/ia) ] - s i n ( 2 / y 4 a ) ß - C ( j / y 4 a ) ] }

^sech(^ir2/)So,.»(a)

iiri/csch(§5ry)iS_i,.v(a)

i(2aT)-»Csm(yy4a) Οΐ(ί/«/4α) -cos(2/y4a) si(2/y4a)]

ii/-i{sm[2(aj/)»]-cos[2(a2/)*] +expC-2(ay)»]}

k { H C « ( | i / y a ) + S « ( i j / y a ) - W / a ) - Ä ( | 2 ^ / a ) }

^r-T(i-i^j/)r(Hi^y)5j.,-,(a)

k - r ( i - ihy)ni+ih/) S-i.i.(«)

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50 Table I: Even Functione

2Nfix) Ngiy)

316 x-^y{i>, 03?) wm-*m-pAf/a)

317

318 ex^{ax')T{v,ca?), -l<v<Q Ar=iir(ir /o)»lT(l-i ' ) c o s M ] - '

i ( V a ) - » r ( H . ) | T ( l - . ) r •exp{Wa)Tih-P,Wa)

9. EUiptic Integra ls a n d Legendre F u n c t i o n s

Mfix) Ng{y)

319

320

321

322

323

324

ü : [ ( l - a - V ) i l x<a 0, x>a

0, x>l Ν=^ίτα)ΐΓ^

ia^-^)-iK{aa^V^)/{a^x^)y], x<b

{a^V^)-iK{i{a^-x^)/{a^-m], b<x<a

0, x>a

K[eo8{^x)2, x<ir 0, x>v Λ Γ = Κ Γ α ) ϊ [ Γ ( ΐ ) : - «

(l+o«cos«x)-* • Κ[μ cosx ( 1 + a* cos'x) x < §ir

0, x>^ir N=2ria-Kp+i)-*

•Kmp+D-^l, ρ=(1+α-«)ί

sech(aa;)K[tanh(aa;) ] N=^a-hr-m^)y

h^iMhay)J

Απ'[Γ(ί)]-=ν-»Μ<.ο(»)

h^Joih{a+b)Voih{a-b)2

lircosiiry)Ti^+h)Ta-h) •Cr(f+|2/)r(f-i2/)r

• 0 - M « ( p )

Α(απ)-Μ Γ(Ηϋ2//α) Ρ

Page 53: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

9. Elliptic Integrals and Legendre Functions 51

2Nfix) Ngiy)

325

326

327

328

329

330

331

332

333

secha; Kisechx) N=hrimjmi)T'

sechx K{a sechx), a< 1

sechx ü:[( l-o2sech2a:)*] , α < 1

Ο, smhx<a"^

cschx l i : [ ( l -a-2csch2x)»] , sinhx> α" i \ r = ( i + « ) - > { i : [ ( H i « ) - » ] P

( 1 + 0 cosha;)-*JiC{2lCl+a coshx]"*} ΛΓ=Κ2πα)-ί[Γ(1)?

(l+a^sinh^x)-* .Ä:[(l+o''smh«x)-i], a>\

i v = a - > z { B - i ( i - 0 » ] M • ir{CHi( i -a-«)*]M

(1+α« cosh«x)-* •Ä:[a coshx(l+o« cosh«x)-l]

ΛΓ= 2α->(ρ+ 1)->ί:[(ρ- 1)»(P+1)-*] • i :C2i (p+l ) - i ] , p = ( l + a - « ) i

/ , . Ν 1 , Γ/β coshx—iV (acoshx+l)-*«: ( )

L \ a c o s h x + l / . a>\

N=2n{m)-^{T{\)J . { X C 2 ^ ( l - s ) ] + X [ 2 ^ ( l + s ) ] } ,

8=(l-a-«)»

(i-x«)-J' 'Pi;(^), x < i 0, x > l

-h<v<h M < i ΛΓ=2^Μ

· ί Γ [ Κ 3 - μ + . ) ] Γ Ο ( 2 - μ - . ) ] } - '

^v{\+\iy)n\-m m\+\iy)m-\iy)

^mAi{hni){P-Ukivir)Y, r = ( l - a « ) i

iπ«(sechiπy)«P_4+,.„(r) .P_H.i . . (r) , r = ( l - a « ) i

+ [ 0 - 4 - ί , , ( 2 ) ϊ } , «= ( l+a -« )*

^(^/a)iT{\+\iy)V{\-\iy) .PH+.v[ ( l -a-«) i ]

^ o - i s e c h ( ^ )

sech(§ir2/) •15-W.v(p)[Ci-Wiv(p) + 0 - j - j < v ( p ) ]

2-v\T/a)*mAv{'Ky)n\+\iy) -m-hw)

.[P-i+.v(8)+P-+t-.v(-s)]

2 ^ - ' « - Μ Γ β ( 3 - Μ - . ) ] Γ β ( 2 - Μ - . ) ] } - » •(M+v)(M-v-1)j/^-» •«-M-i.M (2/)

Page 54: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

52 Table I: Even Functions

2Nf(x) Ng{y)

334

335

336

337

338

339

340

341

342

χ^-1(1-χ^)-^Ρ^(χ), x<l 0, z>l

λ>ο, M<i -i<v<h ΛΓ=2Μ-ΜΓ(λ)

.{Γβα+λ-Μ+,')]

. Γ Β ( 1 + λ - Μ - ν ) ] } - ι

P,C(2a:ya«)-l] , x<a 0, x>a

-h<v<h Ar=o (2i '+l ) -»cosM

%lia^+lr'-3?)/2ab2, x<a-b 0, x>a—b

a>b

• [ ( α / 6 ) ' ^ - ( 6 / ο ) · ^ :

Λ;-ιφ,(2χ-«-1), a;<l 0, a;>l

- l < v < 0 ΛΓ=—|ircsc(wr)

ΛΓ=2-*ιγ(2ρ+1)->

0 , [ (χ«+ο«+6«)/2α61 P > - k iV=a-6'+V(2>'+l)->, o > 6

^,(l+2a-2cos«a;), χ < | ι γ

0, x>^ir

^»(cosha;), - l < i ' < 0 i V = - j 7 r - « s m ( w )

• [ Τ ( - ^ . ) Γ ( Η | . ) Ϊ

'!β,(ο coshx), α > 1 , - 1 < > ' < 0

iV=-2'-*(air)-»cot(>'ir/2) •Cr(Hi . )T{P i r*[ ( i -0* ] +ΡΐΓ*[ - (1 -α -« )» ]}

2^'ν»Γ(λ) • {Γ[1+Κλ-μ+.')]Γ[Κΐ+λ-μ-.)])-ι ·ΛΒλ ,Κι+λ ) ; ϋ ( ι+λ -μ- . ) , Ι+Κλ-μ+ί-);-2/^/4]

i a i r /^ (a2/ /2) / -M (« i / /2 )

Μαδ)*τ[/^(6ί/)7,+ί(θ2/)

-/^(α2/)7Η4(&2/)]

-§TCSc(w)iPi(l+i'; l;iy) 'iFi{l+p; 1; - % )

2-iTl,+i{2riy)K^{riy)

{ah)^irI,^{hy)K^{ay)

-ix-«smMr(-|;;+|ii/) •V{-\v-\iy)m-^hv+\vy) • r ( R i P - i t V )

-2'-*(oir)-*sm(w) . Ccosh(xi/) -cos(Mr) T'nh+b+hw) •r(Hi.-iiy) {PI'j+U(l-a-«)i] + p i | ; ; U - ( i - a - « ) i : }

Page 55: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

9. Elliptic Integrals and Legendre Functions 53

2Nfix) my)

343

344

345

346

347

348

349

350

(sinha;)''^/(cosha;), ν+μ<0, μ-ν<1

ΛΓ=2-^-ν-ί{ΓΟ(1+.-μ)]Ρ •[Τ{-ν-μ)Τ{1+ν-μ)Τ' 'ίΤα-μ)Τ'{ΤίΗ-^-μ)Τ

$,(l+2a«sinh«x), 0 < ο < 1 , -ί<ρ<0

N=^P,{r)ZQ,{r) +Q-^i{r)2, r = ( l - a « ) i

%{1+2α^amk^x), α>1, - 1 < » ' < 0 iV=|Cocos (w ) r*

•m,{ap)J-lO-^i{ap)J], -l<v<0

'!ß,(2a«cosh«a;-l), α > 1 , - l < i ' < 0 , iV=ia-MPir*(«)<3-V(«)

Ο, sinhx< 1 / α 'i5,(2a«sinh«a;-l), smhx>l /a

- 1 < ί ' < 0 N=-^wcsc(vir)l%(ap)J

0 , ( α coshx), α > 1 , ί ' > - 1

N=2r-ia-ii^iT{Hh)J . P i r * C ( l - a - ^ ) » ]

e-*'(sinha;)-* •OiJCcoshx), μ + μ + 1 > 0 , μ<^

JV=2^-V*r(HM) •{Γ0(1+ν+μ)]}1

.{Γ[1+Κ.-μ)])-^

2^-ν-*Γβ(1+>'-μ+ί2/)] τliil+v-μ~^y)2m(-f-^χ+iy)l

•ΓΟ(-' '-μ-%)] • [ Γ { - . - μ ) Γ ( ΐ + . - μ ) Γ ( | - μ ) ] - '

I sech(^ir2/) •MPv'Hr)iQiHr)+Q^I!-i{r)2},

i [ o c o s ( w ) ] ~ ' .{piU.i«WRei:Q=4i!i.«]

8 = ( i - O '

.{[|Γ(ΐ+.+§ί3/)|φι'ίΐΙ.„(ρ)ί -CI r ( - . + | i 2 / ) i r - 1 W p ) i } ,

p=( l+a -« )»

iCacosh(Jiri/)]-i

. { P I A W R e C Q l U i i ^ W : +P!l+lV,}„(8) Re[QI|;!},(s):},

8 = ( l - o - « ) »

(απ)-ι Ite[Ol^;Ji,(p)OLY+ij,(p) ] , p= ( l+a-«) i

2'-i(Va)ir(Hi.+ii2/)r(Hi.-|iy) •p iSUd-«- ' )* ]

2^-ΜΓ(ί-μ)ΓΟ(1+;/+μ+ίι/)] •ΓΟ (1+.+μ - ί2 / ) ] •{Γ[1+Κ^-μ+%)]

Page 56: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

54 Table I: Even Functions

2Ni{x) my)

351

352

353

354

355

356

357

358

e-'^-Csinha;)-"^! •0!;(ctnha;), (>'±m)>-1

ΛΓ=2'-2[Γ(1+ΐ')Γ(1+ί.-μ) ]-i · Ρ [ Κ ΐ + ' ' - μ ) Π Γ Ώ ( 1 + ν + Α . ) ]

{a^coah^x-l)ii'e^ •Or^iacoshx), μ - ΐ ' - 1 < 0 , a>l

-mh+h-h)jim+^)T'

Q,(l+2o«sinh«x), 0<a<l , i '>-l N={^/8)\:P,{r)J+m{r)7

O,(l+2o«sinh«x), a>l, v>-l Ν i i r C a s m M : - ' P i r * ( s )

.e+*W, s=(l-a-«)J

Q,(l+2o«cosh«x), )'>-l ΛΓ=ΚΟ,(αρ)Τ

O,(2a«cosh2x-1), o> l , i/>-l iV=ia-V[r(l+r) ? [ P i r * ( s ) Τ

sech(xx)P_i+<x(a), - l < a < l iV=2-l(l+a)-l

. ; 'P-i+iM, - l < a < l , sinh (αχ)

^ ' α>π

359

ΛΓ=«->Σ (-l)"i„Q-H(„x/.)(a) n-O

(sechirx)2P_j+«(o), - l < o < l i V = 2 - V - H l - o ) - i

• l o g { [ 2 » + ( l - a ) i ] y ( l + a ) }

2 ' -« [Γ (1+^)Γ (1+^-μ)] - ' • m { l + v - M + i y ) T O ( l + . - M - % ) ] •m(l+v+M+il/)TO(l+.+M-t2/)]

2 - ' - V — Μ [ Γ ( § + ν ) ] - ' • | r ( H l v - § M + i i y ) P

hrcBchihry)iPi*''{T)QrHr) -Pr"'(r)Qi"'{r)l r=(l-o«)i

-KasinWrPIji i i . is) .Re[Q!lY+<l«(«)]

^a-4r |r(l+.+%) P [ ^ I ? ; U p ) T . p=(l+rt-«)*

ia-V|r(l+.+i§2/) p • [ P l i ; y s ) T , s=(l-a-^)i

2-*(a+cosh2/)-*

α-' Σ (-1)"«« cos[(n7r/a)2/:<2(„,/«)-}(o),

2-*ir-Hcosh2/-a)-*

i[(cosh2/+1)»+ (coshy- a)ij •log

1+a

Page 57: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

9. Elliptic Integrals and Legendre Functions 55

2Nf{x) Ng{y)

360

361

362

363

364

365

366

367

368

369

370

\Ti\+qx)\'P-i+Ua), 0<a<l

I Τ(μ+ίχ) p Ρ ΐ γ + i M ) , -l<a< 1, M > 0

Λ Γ = ( ί ΐ Γ ) ί Γ ( μ ) (1 -α )*^(1+α)- ίΜ -1

\m-y+iix) Ρ -Pt^Ua), 0 < α < 1 , M<§

cosh(W) I Τϋ-μ+ΐχ) p 'PU+M, M < i 0 < a < l

Ν={^π)Κα'-ί)-*''αΤ^Τ{^-μ)

sechiirx) I Τ{μ+ΰ) p •PL-}q...,(a), - l < a < l , μ > 0

N=2-^Kl+a)^-*il-a)-iT{2μ) . β χ ρ [ - ί τ ( § - Μ ) ] 0 * = ί [ 2 » ( 1 - α ) - » :

sech(ira;)[P_j+,-;„(a)J, 0 < α < 1

\nh-^+ix)\'iPti+My, M < i 0 < α < 1

Λ Γ = ( 1 - α « ) - * 0 - ^ [ ( 1 + α « ) / ( 1 - « * ) ]

leech{nx)JP-i+Ua)P-^U-a), α<1 Ν=τ-^Κ{α)

sech(Ta;)[<ß_j+«(a)J, ο > 1

|ra-M+a:)ppßW«)J, α > 1 ,

ΛΓ= ( α « - 1 ) - 1 0 _ ^ [ 1 + 2 ( α « - 1 ) - ' ]

2*ir»(r+cosh2/)-* . Χ[2*( l + r - ' coshj/)-*], r = ( 1 - α«)»

2 - ' ' - » ( α + l)»''(o+coshy)-H^ . ' i}i[(l+coshj,)Ka+cosh2 /)-i]

( ^ * Γ ( μ ) ( 1 - α « ) ί Μ - 1 • (a+coshy)^

ΐΓ»2^ν-*0-μ-ι(ι^ι coshy), r= ( l -o«)*

( ^ χ ) Κ ο « - 1 ) - » ^ Γ ( | - μ )

• (a '+s inhV)*^ •cos[(5—Α») arctan(a~^ sinhy)]

2 -Μ+ι ( ΐ -α« )*τ4Γ (2μ)

.OjlfC2i cosh(i3/) (cosh3/-a)-»]

sech(|y) •i(:[(l-a«)»sech(|j/)]

( l - a « ) - i O _ ^ [ 2 ( l - a « ) - > cosh«(i2/) - 1 ]

' sech( iy)J i : { [ l - ( l -a«) sech«(i2,) J |

• ä:{ a ( l - o-«) »Ca«+sinh«(^)

(a«- l ) -JCU_i[ l+2(a«-1) -> co8h«(^) ]

Page 58: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

56 Table I: Even Functions

10. Besse l F u n c t i o n s

2Nf{x) Ngiy)

371

372

373

374

375

376

x-iiJo{ax)J i V = ( 2 a A ) - i r ( J ) [ r ( | ) r '

x-iiMax)J, ,>-l N= (2αΑ)-»Γ(1+;')

•[r«(f)r(f+.)r

[x'J,{ax)J, -\<v<0 iV=|C7rr (J - . ) ] -

· Γ ( - ^ ) Γ ( Η 2 . ' )

377

378

. [ Γ ( Η . ) Γ ( Η 2 ν ) ] - '

xi[/_i(ax«)T ΛΓ=2-5π-»Γ( | ) /Γ( | )

ΛΕδία^-χ^)*], x<a 0, x>a

ab<To.i

N=b-^ siniab)

(o2 - r ' ) - i ^ [6 (a« -x« ) i ] , x<a 0, x > a

. > - l , ai<r,,i

N^h^iMiab)!

(α«-χ«)*'Λ[6(α2-χ«)»1 χ < α Ο, x>a

ah<T,,i, v> - 1 ,

N= {hTa/b)^J^{ab)a'

(W2/)Mi'-}[(l-4aV-^)*]}', 2/>2a

( | τΑ )*Γ (Η . ) [Γ ( | - . ) ] - ι •{Pl![[(l-4a«r^)i]}«, 2/>2a

2 '-*7Γ-ία--*2/-'-*[Γ(Α-' ')]-' • (4α«-Λ- '{ΐΓφί_}[(αΑ)+ (2/A«)] -2e-'"Oi-i[(aA)+(2/A«)]}, 2/<2a

- 2"+*7Γ-ί sin(w) a'-iCr (H»-) •i/~' (2/«—40«)"' exp(—tw) ·ΟΪ-}[(αΑ)+(2/Α«)], 2/>2α

27Γ-*οΐ-2ΐΓ(2,;)]-ΐΓ(Η2^)

/ST

COS«'« (4α« sin«<- y«) - * di, ' ar<»in(t//26)

0, y<2a y>2a

- Ja-H|ir2/)iJ_i(2/yi6a) Fjiyyiea)

«-'sin(a2), z=il^+i^)i

Wi-'iiai^+y) Vi^ihiz- y) 1 z={W+y^)i

Page 59: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

10. Beseel Functions 57

2Nfix) Ngiy)

379

380

381

382

383

384

385

- I o g ( a « - x 2 ) / o [ 6 ( a 2 - x « ) i ] , x<a 0, x>a

aö<To,i, a<l Ar=-26-i{sm{o5)[Ci(2oft)

- C i ( a b ) + l o g a ] -cos(ai))[Si(2a6)-Si(ab)]}

JoCftCex-x")*], x<a 0, x>a

a6<2ro,i iV=26-isin(io6)

0, x>a «*<2r,.i, " > - !

(οχ-χ2)* 'Λ[6(οχ-χ«)»: , χ < α Ο, χ > α

c*<2r,,i, ν> — ί N=i^a)'iwa/b)iJ^ihab)

-7ο [6 (αχ -χ« )*1 χ < ο Ο, χ>α

αδ<2ρο,, ΛΓ=-4τ- '6- ΐ [8Ϊη( |οδ) Οί(^α5)

-cos ( ia6) Si(^a6)]

- ( a x - x « ) - i F , [ 6 ( a x - r ' ) » ] , χ < α Ο, χ > ο

β*<2ρ,.ι, - 1 < ί ' < 1 iV=7r{2cos ( f7 rv ) /} , ( | aö )

• F j . a a o ) - s i i i ( i w ) • [ / | , ( i a 6 ) + F | , ( i a 6 ) ] }

- log(ax-x2)JoC&(ax-x ' )* l χ < α Ο, x > o

α6<2το,ι, α < 2 iV=46-i{sin(ia6)

• [Ci (a6) -Ci ( ia i>)+log( ia ) : -cos(|afc)[Si(aft)-Si(|(rf>):}

- 2 z - ' { s i n ( a « ) [ C i ( 2 a i ) - | Ciias+ay) - | Ci (ai ; -ai / )+log (a5)- log2] -cos (a2 ) [Si (2a2 ) - f Si(az+a2/) -hSiiaz-ay)3}, «=(δ«+2/«)*

2 cos(|o2/) a-i sin(|o«), 3 = (6«+2/') *

7Γ cos(ioy)/},[ia(2+2/) ] / } , [ ϊα (0 - ?/) ] ,

Μ Kioi))'008(^02/)

-27r~ico8(^02/)2-i .{sin(iaz)[Ci(|(K+io2/) +Cidog— lay) ] — co8(ia«) . [ S i ( | a 2 + i a y ) + S i ( | a 2 - i a y ) ] } ,

-IT cosCiay) {cosdirv) •iM\a2+\ay)YU\az-lay) + Yi,iW+hy)M\(^-hy) ] - s in( |w) Jo2+|oy) J} , ( io0 - iay) + y},( ia2+iay) F j , 0 - J a y ) ] } ,

2=(62+y«)l

-42-Msin(|a2) [ C i ( a 2 ) - | Ci( ia2+iay) - I Ci(§a2-iay)+log(|ai>) - l oga] -cos( laz) CSi(a2) S i ( io2+|ay) - | S i ( i o a - | o y ) ] } cos(|ay),

2=(6«+y«)i

Page 60: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

58 Table Ii Even Functions

2Nfix) Ngiy)

386

387

388

389

390

391

392

0, x>a αδ<ρο,ι

i\r=-2jr-i6-i[sm(a&) Οί(αδ) -cos(aö) Si(<rf>)]

-ia^-x')-iY,[bia^-3^)*l, x<a 0, x>a

ab<p,,u -\<v<\ N- caaiW)Mhob) Y^,ihob)

ΛΓ= (2δ«)'-4ΓΜ[Γ(Η2»')]-' ^ιF2iv·Λ^-v,2v+\•,-aΨ)

J,iacosx), χ<ΐΓ Ο, x>w

α<·Τρ,ι, ν> — ί N^TlMm

J,ia amx), χ<τ Ο, χ>τ

0'<τ,,\, ν> — 1 N=TlJi,iha)J

CSCX J,ia sinx), x<ir Ο, χ > χ

α<'Ί·,ι, ' ' > 0

•{[^}(-i)(§«)J+[/i(M-i)Q«)T}

sec(ix)/ , [e cosCix) ]], x < x Ο, χ>τ

α<'',.ι, ' ' > 0 ΛΓ=|ΐΓαΐ'-ι

•{[7j(-i)(§a)J+[/«H-i)(i«)?}

— (jrz)-i{sin((w) [Ci(<K!+a2/) +Ci(o2— ay) ]— cos(az) • [Si(a0+ay)+Si(aa-ay)]},

-^{cOsCiflT) [/},(2i) F},(Z2) + F},(2i)/i,(22)]-8in(iirv) •[/j,(2l)/iv(22) + Fiv(2l)y},(Z2)]),

21=^(6^+2/^)»^^:

(2α)»-'[Γ(Η'')Τ-'

• / cos'''<(46«sin2<-y')i'-} •'anieinCWa)

• / , ^ [α (46 ' sin«<- y«) dt, y< 26 0, y>26

ir/j^(|a)/jH^(ia)

7Γ cos(§7ry) /},^( |a) /j^(ia)

iirac"' cos(§iry) • Uh(.v-i-v) (§«)' i('-i+K) + < ^ } ( · 4 - ι - ϊ ) (2α)·^}(·4-ι+») (z«) ]

^ταχ-'Ε/κ,^ι-ν) (§a)/j(,^i+») ( |α) }(ι4-ι-ϊ) (i«)«^i(>+i+v) (i 'i) ]

Page 61: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beseel Functions 59

2Nfix) Ngiy)

393 icosx)~™Jmia cosx), χ<π/2 m

i7r(ia)-m! Σ € n [ ( m + n ) l{m-n) \T' 0, x>ir/2 n - O

a<rm,i, m=0,1,2, . . . •«^n- iy ( fa ) /nH- i l / (2a)

ΛΓ=Κ^«)»»ί-·[Η»Μ(α)+Η„Μ4(α) ]

394 (sinx)-™/»,(α sinx), x<ir 0, Χ>7Γ m

a<T„,i, m = 0 , 1 , 2 , . . . • Σ i n [ ( m + n ) ! ( m - n ) !]-'/„-},(§«) N= (firo)»OT-> n - O

•CH„_,(a)+H,H4(«)] •<^n+}i,(|a)

395 Λ(2ο οο8χ)/μ(2α cosx), x < x / 2 iτiha)'^''Tiv+μ+l) 0, Χ>7Γ/2 .{Γ(1+.)Γ(1+μ)Γ[1+Κ^+μ+2/)]

ο<Μίη(τ,,ι;τμ,ι), ν+μ> — ί •Γ[1+§(''+μ-2/)]}- ' Ν=Μ^)·^ην+μ+1) ·4 ί ·6β(1+»'+μ) ,Κΐ+>'+μ) ,

• {Γ(1+ν)Γ(1+μ)|:Γ(1+|.+|μ)ί}-ι l+iC^+M), 1 + | ( « ' + μ ) ; Γ + 1 , μ + 1 , ·2Ρ30(>'+μ+1),Κ»'+μ+ΐ); ν+μ+1,1+α,+μ+ν), ^ + 1 , μ + 1 , ί . + μ + 1 ; - 4 α η ^+hiι'+μ-y)•,-m

396 JoZib— α coshx)*], coshx<ö/a 0, coshx>6/a ·2ι=Κ(6+α)»±(6-α)»]

a<b<To,i 2

N= ix[Jo(2i) Yoizi) -Joiz2) Yoizi) ]

397 (coshx)-^J',(o sechx), ί'+μ> 0, 2Μ-ν[Γ(ρ+1)Γ(μ+ί ' )]-ι a<Ty,i • I ΓΜμ+»'+%) Ρ

iV=2^VCr(^+l)]-' •2Fz[_Uß+y+iy, hiμ+y-iy); •Bih+^.y+h) Κ μ + ν ) , § ( 1 + μ + . ) , 1 + ν ; - ν ) : ι ^lmi^^+'')•Λil+μ+»),

398 aechiJ^){[JUa)J+iYUa)J] Ηο(2α cosh^y) — Fo(2o cosh^y) ΛΓ=Ηο(2α)-Γο(2α)

11. Modified Besse l F u n c t i o n s

2Ay(x) Ngiy)

399 e-^/o(ax), b>a 2-i[(6«-a«-2 /«)«+46V]-* iV=(ft«-a«)-i • {[( i ' ' -a«-y«)«+4&y]i+6«-a«-2 /«}i

Page 62: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

6 0 Table I: Even Functions

2Nf{x) Ngiy)

400

401

402

403

404

405

406

407

408

409

410

Koiax) N=hra-'

x^'Koiax), n = 0 , 1 , 2 , . . . iV=ir(2o)-2"-i[(2n)l/n!T

χ2»+>Κο(αχ), n = 0 , l , 2 , . . ΛΓ=α-«»-22«»(η!)«

xiRoiax) N=i2a)-ia-mm

x-^Koiax) N=2ria-iim)J

K,iax), - 1 < » ' < 1 JV=§ira-isec(§7n')

x'Kyiax), v>-h ΛΓ=2' - ΐΛ- ' -Τ (Η' ' )

xi'Kyiax), μ+ν>-1 N=a-''-'2f'-'

'Ti^+h+h'')Tih+h-h^)

x-'ilfi+x')-'K,iax), y<§ .V=lir«6-'~»sec(w)

. [Η,(α6)-η(α6)]

loibx) Koiax), a>b N= (ο+6)-ιχ[2(ο6)Κα+6)-']

Iyibx)K,iax), a>b, v>-^ -ν=Καδ)-*0^(«/2δ+6/2α)

kria'+y^-i

(-1)·' |χ(2η)!(α«+Λ-»-* •P2n[2/(a«+2/«)-i]

(-1) ' ·+Κ2η+1)! •ia^+y')-^-'QMa^+f)-^l

i(27r)M{2i?[(f-i2/2)i] +2iC(Hiy2)i:-X[(i-iyz)i:

2'-VV(a«+y«)-^r(H^)

ixsecÖ7r(M-;')]r(l+M+v)

* · {PZ\via'+f)-^W7l-yio^+fTn

i x i 6 - H 2 a ) - T ( | - v )

j'e-^Ka'+e)'-^ dt

+6-*» p e-*\a^+^)'^ dt

.Α{2(αδ)*[(α+6)«+2/«]-1}

Κα6)-*θΜ[(2αδ)-Ηα '+6 '+Λ ]

Page 63: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beesel Functione 61

2Nf{x) Ngiy)

411

412

413

414

415

416

417

418

419

420

x-iIyiax)Kyiax), v>-\ N=^^Ti\)Tii+y)

•cr( f )r( f+ . )r

x-^I,iax)K,iax), 0<ν<^ ΛΓ= W^^iu)Ti^-^) [Τ(Η2« ' ) Τ'

x-i'I,,ibx)K,iax), v>-l a>b N= ^^Ψα—hiTil+v)

.[r(i+M)r'2Fi(H^i;M+i; 6«/ο«)

iUax)J N=hi^a-'

Koiax) Koibx) N=-^ia+b)-^Klia-b)Ka+b)-^']

K,iax)K,ibx), -K»'<i iV=Ma6)-*secM

'^^Zia/2b)+ib/2a)2

xiiK,iax)J, -!<.<! ΛΓ=α-ί(27Γ)-»Γ«(|)

· Γ ( | + . ) Γ ( | - ν )

x-iiKXax)J, -\<y<i N=2-Kan)-in\)TiHv)Ti\-u)

xi-^K,ix)K,ix), f>UI+IH iV=2f-'[r(f)rm(f+M+.)l

•rcKf+M-»')]rß(f-M+^)] •rcMr-M-")]

r''exp(-a^)/,(ar'), - i < « ' < 0 iV=^- i2 - ' - i r ( -v ) r (§+2v)

r(H^)Cr(H»')rKk/2/)* •e<"Ol!iC(l+4oV-*)»]^Z5[(l+4aV^)»]

2-"-ΜΓ(Η'')(2//α)' . (y«+4a«)'-*Pr-'}C(2/'-4a«)u/«+4a«)-':

Γ(4α2+2/«)-1ί:[2/(4α«+2/«)-*]

• i i i [2/«+(α-6)«Κί/«+(o+6)«]-»)

ix^secMCoi)-* .φ [(2α6)-Η2/ +« +& )]

r(f+«')Cr(-i-»')rexp(i2w) .(ix3/)H4a«+2/«)-i •Ol!;[(l+4aV-')l]Ol?C(l+4aV-')i]

rCH") [Vi\-v) r βχρ(ί27Π') (|ir/2/)i .{Oll[C(l+4a«2/-«)i]}«

2f-'[r(f) :-Tß(f+M+»') ] Γ [ | ( Γ - μ + ; ' ) ]

• 4F30(r+M+»'), Kf+M-"), hii-l^+v),

• ( Γ - μ - ί Ί ^ , If, i(iTl-f);-12/^1

^-12— ir(-^)r(i+2,') exp(-i2/«)

+ 2 « - * r ( . ) l T ( | - . ) r

Page 64: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

62 Table I: Even Functions

2Nf{x) Ng{y)

421 2n'y'-' exp(-2/yi6)TF_,M.(i2/»)

422 iV=2-»o-»P(J)

hra-'yK^{\0a) •C/l( i2/ya)+/- l ( l i /ya)]

423 x^Kiiax") ΛΓ=2-1(αΑ)-»|Τ( |)]- '

hra-^^y)* .C7_i(i2/ya)-L_i(j2/yo)]

424 xiKiiaa?) Ν=2-^*α-*ίΤ{\)Τ'

\a-^(.hn/)^ •[7_i(i2/yo)-L_i(i2/ya)]

425 α?'Κ,{αα?), v>-\ N=2'-^a •^r(H'')U(f)r

2·~%α-'-»{Γ(Η,' ) [Γ( | ) ] - ' 'M-^v;hhitf/a') -a2 /ya )r ( f+ . ) [ r ( f ) ] - i • i F 2 ( f + . ; f , f ; i f e / y « ' ) }

426 exp{-=^)Ko{a?) N=ihr)i

(|x)iexp(-2/yi6)7o(2/yi6)

427 3?'eM-ax')K,ia3?), v>-\ ΛΓ=Κ2α)--*πΓ(Η2^) U d + v ) T'

|π(2α) ' - * r ( H 2 . ) [ T ( l + . ) r • iFi ( | - . ; l+ . ' ; i2 /ya)

428 x-^'exp{x^)K,ix'), 0<v<l N=2'-i cosMrWr(f-2v)

x 2 - * T ( i - 2 . ) [ r (H . ) r .2/->exp(2/yi6)Tr,,.-iX|j/«)

429 χ>'βχρ(-χ')Κ,{2?), - 1 - 2 μ < μ < - 1 + 2 » '

N=2-ii-h*T{^+y-v) · Γ ( Η § μ + ν ) | Τ ( 1 + | μ ) ] - ·

2-ί''-*«·ίΓ(Η|μ-;') Γ ( Η Ι μ + ' ' ) • [ Γ ( 1 + | μ ) : - ι · 2 ί ' 2 ( Η | μ + ^ , Η | μ - ' ' ;

430 xiKi{ax?)J iV=2-*A-»

2-Ma-'[7o( i i /ya)-Lo(it /ya):

431 χ-^Κο(αχ-') N=a-^

-πο->2/Κι[(2α2/)*]ί:ι[(2αί/)»:

432 Ko{ax^) N=2a-^

Ir'CCidayy) sin(iay2/) - s i ( i a y y ) co sdayy ) :

Page 65: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beseel Functions 63

2Nf{x) Ng{y)

433

434

435

436

437

438

439

440

441

{a-x)^I,g>{a-x)i2, x<a 0, x>a

v>-l ΛΓ=26-Μ'+*/Η.ι(6α4)

/Ο[6(Α2-Χ«)»1 x<a 0, x>a N=b-^amh{ab)

(o«-a?)-*72,[6(a«-ai)»l x<a 0, x>a

v>-l

[Χ(ο -Α; ) ] -* /2 , {6 [Α; (ο -Χ)J} , x<a 0, X > A

v>-i

(α«-Χ«)»'/,[6(α«-Χ2)1], x<a 0, x>a

v>-l

N={^ira/b)ia''I^{ab)

Koibia^+7?)i2

Χ2„[δ(α«+Χ«)»], n = l , 2 , 3 , . . . η

N=vib-hiΣ (n+k-l)\ik\(n-k)!]"' t-o

cosCv ΜΘΐΕΗ(Χ/6)]Α,[ο(62+Χ*)»1 ΛΓ=|ΐΓΑ-»Β-* - 1 < ί ' < 1

—IIR ' sec (FLT)^ •iamihru-hr-WMMW/y) +coa{hn>-i,r-My) YriW/y) ]

{y'-l?)-iaiaZa{y'-m, y>b

*ΙΓΛ(2Ι)Λ(22) zi^haivMy'-m 2

JT οο8(|α2/)Λ(«ι)Λ(ίί!)

./H^[O(2/«-6«)J], y>b

hril^+fJ-iexpl-aiV'+M

( Ι χ ο ) ί η Σ (n+Ä-l)ICÄ!(re-ft)!]-i t-o

• (Wa)->'iV'+y')i>^K^la{V>+y')i2

Page 66: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

64 Table I: Even Functions

2NJ{x) Ngiy)

442

443

444

445

446

447

448

449

450

7„[6(ox-x«)*], x<a 0, x>a JV=26-isinh(ia6)

iax~x')i'Iyibiax-3?)i2, x<a 0, x>a

v>-l N=iira/b)Kh)'Iy+i{hob)

Koib{ax-x')*2, x<a 0, x>a

.CS i ( - i§ao ) -S i ( t | a6 ) ] -smh(|a5)[Ci(i |a i>) + C i ( - i § a 6 ) ] l

icix-x')-iK,ib{ax-3?)*2, x<a 0, x>a

-l<v<l

ίχ{1+χ)2-*Κφ[.χ{1+χ)^}, -h<''<h

JV=57r«sec(iiT)

ia'+a?)-iKilb{a'+3?)i2 ΛΓ=§5Γ(αδ)-»β-^

ia^+7?)-iK2lbia'+x')i2

N=U2m/b)ia-'K,^iab)

(α«+χ«)-ΐί:ο[δ(α«+χ«)»] Λ Γ = - | π α - Έ ί ( - α δ )

2 cos(|aj/) i(&«-2/«)-isiiihÖa(6«-2/«)*], 2/<6

(ira)»(|fl*)'cos(|ay)

-cos(ia2/)(2/«-6«)-i • { s m a [ C i ( 0 i ) + C i ( 2 2 ) ] - c o s a [ S i ( 2 i ) - S i ( « 2 ) ] }

2

a=W-b^ Jo, y>b

arga=

—3ir« secCsTiT) cosday)

|ir«sec(irj'){cos(|2/) • [ Λ ( 2 ι ) Λ ( « 2 ) + F , ( 2 i ) F , ( 2 2 ) ] + s m ( k ) • [ ^ ( 2 2 ) F , ( 2 i ) - ^ ( 2 l ) F , ( 2 2 ) ] l

2

JJ i : , (2 i )J i [ , (22)

2

- Jira-Te-"" E i ( - 2 2 ) + e " ' ' E i ( - 2 i ) ]

2i=a[(ö«+2/«)*±2/]

Page 67: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beseel Functions 65

2Nfix) Ngiy)

451

452

453

454

455

456

457

458

KJibi2ax+a?)i2 N=b-'Zam(ab) Ci{ab)

— cos(o6) si(ai>)]

\ogia^+T')Koib{a^+3?)i2 N=irb-^le-'* loga-e»» Ei(-2ai>) ]

/ίο[δ(α«-3^)*:, x<a 0, x>a N=ib-^i co8Hab)[Si(-iab)-Si(iab)2

- smh(ao) lCiiiab)+Ci{-iab) ]}

{a'-xt)-iK,[bia'-^)*l, a;<o 0, x>a

-l<v<l N=hr sec{^)Ki,{hob)

'UUiob)+I-i,acib)2

N=\h>-mKM>{^ab)J -iKi^,{hab)J]

0, x<a Kolbix'-a^J, x>a ΛΓ=α->[8ίη(ο6) Ci(o6)

—cos(ai>) si(o6)]

0, x<a (χ«-α«)-1Χ,[δ(ζ«-α«)*1 x>a

-l<v<l N=Waec{^)

•{iMhab)J+iYi,{^ab)y}

I,Za{<^+^)*lK,Lb{<?+^)il a<b N=hrd'-'Iy{ac)K^ibc)

| αα - ι eoaiay) {smoi[Ci(2i)+Ci(2:2) ] — cosa[si(2i)+si(2:2) ] }+§αα- ' aiaiay) • {cosa[Ci(2i)—Ci(z2)]+sma

.Csi(2i)-Si(%)]}

2

7r(6«+i/«)-*{exp[-a(i)2+2/«)*]Dog(a&) - § log(ö2+2/«):-exp[a(i>^+2/«)i] •Ei[-2a(6«+2/2)i]}

-i(^-t^)-i{smaiCi(zi)+Ci{z2)l -cosa[Si(2i)-81(22)])

a=a(f—b^)^, Zi=aydza 2

— iir^secdav) • [/},(2i) r-,,(22)+ Yi,izi)J-i,{z2) ]

2i=§a[y±(y«-6ä) l ] , 2/>6

ibu-WM^hazi)KM.ih<^) -K^y{hazi)Ki^.{ho^)l

2ι=(6«+Λ»±2/ 2

K&'+^-»{sma[Ci(2i)+Ci(22) ] —cosa[s i (2 i )+s i (22) ] }

a=o(6='+y2)i, 2 ι=α±α2/

Sir^secClnT) • [/ίκ(2ι)/},(22)+ Fi,(2i) r,,(22) ]

2i=ia[(6«+2/«)i±2/]

Γ V^-^'J,{at)J,{U)

.(i '+c«)-iexp[-y(c«+<«)ij<ß

Page 68: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

66 Table I: Even Functions

2Nfix) Ngiy)

459

460

461

462

463

464

465

466

467

468

N= hra-'Uo{2ab) - Lo(2oo) ]

(a«+x«)l'X,[6(a«+a«)»] N= {hra/b)ia-Ky+^{ab)

· ί :„ία[χ-(χ«-6«)»]1 N= |7Γ'α-ΐ[Ηο(2αδ) -Yo(2ab)2

•Ky{aai^+^)i+x:\} N=a-'liKsec{m>)h,{2ab)

+|iso,2,(i2fl*)3

K,\alx+i:,?-m

ΛΓ=ΐ7Γθ-ΐΑο,2κ(2ο6)

• i :4a [ (ö«+x«) i+x] | ΛΓ= 1x0-1^2,(206)

ί : ο [ α ( ύ ) ί ] ϋ : ο [ ο ( - ώ ) ί : ΛΓ=Ατο-«

Χ,[α (ώ)» ]Κ, [α ( -Μ; )*1 - 1 < ^ < 1 iV=i7ro-2sec(|w)

72,(2osinx), Χ<7Γ Ο, χ>π

N=tUMJ

72,(2ο COS5X), χ < τ Ο, χ > ΐ Γ

iV=7r[7 , (a)J

ix(4o«+2/«)-* . {7o[6(4o«+2/«)»]-L,[6(4o«+j/«)*]}

( W ) i ( a 6 ) ' . ( ί^+2^) -}^ ί :^ [ο (6«+2/« )* ]

ix«(4o«+3/«)-i . {Ho[6(4o«+i /«)i]- yo[6(4a«+y«)*]}

(4o«+2/«)-l{|ir s^{Ti>)h,U)i4a^+f)i2

7Γ(4α«+2/«)-ί5ο,2κ[6(4ο«+2/^)ί:

x(4o«+2/«)-»Ä2,C6(4a«+2/«)i]

lirV-iCHodoV-') - FodoVO ]

Vr'sec(|in')So,,(|o«2/-0

TT cos{^Ty)Iy-iy{a)Iy+iy{a)

vly-y{a)l,+yia)

Page 69: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beesel Functions 67

2Ni{x) Naiy)

469

470

471

472

473

474

475

(sinx)~^/,n(2a sinx), Χ < 7 Γ

0, χ>τΓ m = 0 , l , 2 , . . .

m

Ν=παΤτη\Σ ( - 1 ) " ί „ [ ( » ί + η ) ! n - O

'{τη-η)\Ττΐη{α)7

{eos^x)~"Imi2a cos^x), x<v 0, x>ir m = 0 , l , 2 , . . .

m

N=ira^m\ Σ ( - l)»i«C(m+n)! n - O

cscx h v (2a sinx), x < π 0, χ > π

ϊ/>0 iV= Απα,-Μ C/.-i(a) Τ+C7.+i(a) ϊ }

secf(|x)/2v(2a cos^x), x<7r 0, χ > π

ί/>0 iV=iira.-MC/.-i(a)T-C7.+i(a)T}

(sechx)'*/p(a sechx), μ + ϊ ' > 0 N= 2 Μ - ν [ Γ ( 1 + ϊ . ) ^ 5 0 ( μ + ν ) ,

Μ μ + ν ) ] ι ^ 2 0 ( Μ + ϊ ' ) ;

i ( i+M+^) ,^+i ;V)] Ä'2v(2a sinx), χ < χ Ο, Χ > 7 Γ

-\<ν<\ Ν= W csc(27r.) { [ /_ . (α ) [ / . (α) J}

ϋΓ2κ(2α cos|x), χ < 7 Γ Ο, χ > π

iV= CSC(2TV) { [ /_ . (α ) Τ - [ / , (α)

Tfl'^m! cosC^TTi/) Σ (—!)**€»» η - Ο

. [ ( m + n ) ! (m-n) ly^n-iyia) Ιη^{α)

πα^τηΐΣ ( - 1 ) % η - Ο

. [ ( m + n ) ! (m-n) !]-^/η-,(α)7η+,(α)

|παν-^ cos(i7r2/) •C^M-h/(«)^M+ii/(«)

— 7,-4-ι/(α)/μ4 .^^(α)]

2 Μ - ν [ Γ ( 1 + ^ ) Γ ( μ + ί / ) ] - ι

i ( M + ^ ) , i ( l + M + v ) , . + l;ia2]

^ΙΓ2 csc(27n') cos(^iri/) •[7_^j,(a) /_H4t,(a) - - / , - 4 i / ( a ) 7 H - i y ( a ) ]

*7Γ2 csc(27n,)C/_^(a)7_.+,(a) -7 ,_ ί , (α )7 ,+^(α) ]

Page 70: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

68 Table I: Even Functione

2Nf{x) Ngiy)

476

477

478

479

480

481

482

483

484

Koiia'+V'-2ab coax)i2, x<ir 0, x>r N=Tlo{b)Koia), a>b

(secxms^x)* •exp{—a^ secx)Ki£a^{l+aecx) ],

x<iir 0, x>hr N= 2ήπα-* expi-o") [2)_i(2a) J

Ki,{2a8iahix), -^KvKi iV=4ir«sec(7rv)

• { [Λ(α)Τ+[η(α )?}

K2v(2a cosh^x)

N=iKMJ

sechdx) 7},(2a cosh^o;)

m = 0 , 1 , 2 , . . . m

Ν={-1)"'τη\α'^Σ (-1)"«» n-O

'am+n)Km-n)ir'iKnia)7

(coshx)* exp[(a sinhx)«] •iijCCa coshx)«]

N= 2-^l*a-ilT(l) ?TFi.o(2a«)

(coshx)* exp[— (a sinhx)«] •iilC(a coshx)«]

N=2ria-iTW-i,o{2a^)

iLoCa(2 coshx)»] iV=Xo(aei")ifo(ae-^")

2/sin(x2/) Σ ( - l )%(y«-n«)- i7„(6) i :„ (a ) n=0

(2α)-^7Γ exp(-a2)D_j+,(2a)Z)-i-,(2a)

+tan(^i/) 7ίν-ρ(α) - / ,v- , (a)F,v+.(ö)]}

Ky+iy{a)K^y(a)

^av-^lKi+y+iy{a) Ki+,^y{a) — ( a ) K^y-iy{a) ]

. [ ( m + n ) ! ( m - n ) ! ] " i K n + . , ( a ) i ^ n - i i / ( a )

2-ö%-*|Γ(H§^2/) ΡΤΓ^.·.(2α2)

2r^a-^irW-^,^iy{2a')

Kiy{(wi'-)Kiy(os-^'^)

Page 71: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

12 . Functione Related to Beseel Functions 69

2Nfix) Ng{y)

486

487

488

489

490

491

-Kom-iti'-m]

Koi(a^+ly'+2abcoahx)i:\ N=Ko{a)Ko{b)

{[ (a+6e-) (6+ae-) - 'J ' + [(6+αβ-)(α+6β-)-':*Ί 'K,l(a'+b'+2abcoshx)*2

N=2KUa)Ki,{b)

Ν=^τΚο{2α)

Ν=^Κ,{2*α)

N=hrK2,{2a)

•Kiiym-ib'-aηi2}

miymci'+^)*+bi}

Kiyia)K,y{b)

Ki,^iy{a)Ki^iy{b) + Ki^iy{b)Ki^yia)

ΙπΚο(2α coshiy)

Jirü:o[a(2cosh3/)»]

^πΚ2,{2α coshiy)

12. F u n c t i o n s Re la ted t o Besse l F u n c t i o n s

2Nf(x) Ngiy)

492 χ-Ήο(αχ) arccos(y/a), y<a Ν=^π 0, y>a

493 χ — Ή , ( χ ) , p>h (2χ)Ηΐ-2/«)*'+»ΡΓ-Τ*(2/)- 2 /<l JV=2—ΐπ[Γ(1+^)] • 0, y>i

494 x'[H,{ax)-Yy{ax)2, - | < ' ' < 0 i coa{wv)a''T{i+2v)y iV= -2 'π» 050{πν)α-'-^ΖΤ(^-ν) \{a'-^)-^^ZlZ {a/y), y<a

(y/a), y>a

Page 72: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

70 Table I: Even Functions

2Nf(x) Ngiy)

495

496

497

499

500

501

502

503

504

505

506

x—>[7_,(ax)-L,(ax)], v < 0 i V = 2 - ^ V cosMrC-i»)

Η„(αχ«) Λ Τ = Κ 2 α ) - * Γ α ) ( Τ ( | ) ] - ι

Ioiaa?)-Uiax') ΛΓ=Ατ->(2α)-1|Τ(1)Τ

N=iir\:Mhab)J

ΛΓ=·Η ·2-^ΐ6- ' [Τ(ΐ '+1)]- ι

(α«+χ«)-*{7ο[6(α«+χ«)»] -LoC6(a«+x«)i:}

2\Γ=7ο(|α6)-ί:ο(|αδ)

Ηο(2α coshja;) ΛΓ=ΐΓ[/ο(α)ϊ

Ηο(2α cosh|a;) — Fo(2a cosh§a;) N=hr\iMa)7+iYoia)J}

7o(2o coshjx)—Lo(2a coshja;) ΛΓ=27ο(ο)Χο(α)

Ηο(αχ«)-Γο(ατ') i V = 2 - i a - i r ( i ) [ r ( f ) r

cscMCJ,(aa:«) ΛΓ=2-ία- ίΓ(Η§μ)

-π-ΐ2- ' ->α- ' ' 0θ8(ιπ')»'-'Γ(|-»')

2n{2ira)-m(y'/8a)J

0, y>b

0, y>b

^-rKoihaiy+iv^-m) •maZy-iy'-m]

maliV'+y')i-y2}Ko{hiiW)*+yl]

A t sech(T2/) {Q7i,(a) 7+iJ-,y{a) J}

hr sechM { i M a ) J+LYiyia) J}

aech(iry)Kiy{a) [7<„(ο)+7_<»(ο) ]

hra-'yi Zmy'/a) J+iYiUl^/a) J]

{2ra)-iT{^+v) • D _ ^ [ 2 / ( 2 a i ) » P - , ^ [ 2 / ( - 2 a i ) * ]

Page 73: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

12. Functions Related to Bessel Functions 71

2Nf{x) Ngiy)

507

508

509

510

511

512

513

514

N=Tia-i{T{l-iv) • [ r ( i - i . ) ] - ' + c o s M •r(Hi.)cr(f+§.)r}

caciiTp) • [Ji-Ce coshx) —Λ(ο coshx) ]

N=-mo)

— [F,(a coshx) +J5?,(a coshx)]

N=-W'{0)

χ-ΐ'-^ΒμΑαχ), μ±ΐ'<0 N=hra'^T{-y-^v)T{-h+h>')

• [ Γ ( | - | μ + | . ) Γ ( | - | μ - | ν ) ] - '

χ'5μ.,(αχ), v>-h M - l " K l , -2<μ+»'<0

N= 0 8 θ β ΐ Γ ( ν + μ ) ] · Γ ( Η . ) [ Γ ( | - | ν - * μ ) •m+h-y)T'

Ä^.,(coshx), μ < | ί Ί + 1 ΛΓ=§(2α)'^ΜΓΟ(1-μ-»')]

· Γ Η ( 1 - μ + ^ ) ] ! -

• Γ «-"(α^+ί^)-^/!:},^*)^ dt

(coshx) *Αμ,}(α coshx), μ < | ΛΓ= (2ο)-*2-^-ΐΓ(|-μ)^[Γ(1-|μ)]-'

• θμ+ι,ο(α)

(α«+χ«)-*{|χ sec(|xi;)/,C6(a«+x«)i] +tso.,p6(«'+a^)»])

N=hrlUhob)Ki,{^ab)

(2xa)-»{r(i-.)2)^[y(2a0-*] • D ^ [ 2 / ( - 2ai)-»]+cos(x>') rd+J ' ) . D_^[2/(2oO-*]i)-M[2/(-2at)-*]}

—jix csch{iry)f(y) fiv) =Juy+iy) i'iC.-V) ( 2 0 )

- J ix csch(xy)/(i/) fiy) =J-iHiivii(i) r_^(n4,v)(|o)

(I«) Y-ii^-iy) ( ia)+cos(xi')

•l^K-+ii/>(5ffl)]

1 ( | χ / α ) * 2 - * ' Γ ( - | . - | μ ) Γ ( | . - | μ ) i ( 2 / « - a « ) i ' ^ i i i ( y / a ) , 2/>a

• | (a2_j^)Mpi+M ( j , /«) , 2/<a

χΗ2ΐ'+1)-'2"+'Ό-'-ι Γ ( 1 + | . + | μ ) [ Γ ( § - § . - | μ ) ^

•sFid+v, 1 + | ν + | μ ; 1+^; l-y'/a^)

2''α''+> I ΓΟ(1-μ-»' ) ] Γ ^ ( 1 - μ + . ) ]!->

• Γ t-'^{a'+i')-^Kiy+ii,mKi,-iyiU) dt

(2«)-ί2-^->[Γ(|-μ)]-ί •T{.\-y-¥y)n\-y+¥y)

WiMam+v')^-yl} •K.Aha{.(V^-{-f)*+y-]]

Page 74: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

72 Tablet: Even Functions

2Nf{x) Ng{y)

515 (o«+x«)-5 iKiAhiv+iv'-mi

516 So.ixia) | irexp(—asinhy)

517 aechi^x) So.izia) N= sina Ci(a)—cosa si(a)

sin(acoshi/) Ci(acosh2/) — cos(a coshy) si(o coshy)

518 X csch(7ri;) S-i,ix(a) N= — [ cosa Ci(a)+sina si(a) ]

— [cos(a coshy) Ci(acosh2/) +s in (a coshy) si(a coshy) ]

519 χ8μ,^{ω^), - 2 < μ < 0 N= —|ΐΓ*α~' cos(§7rμ)

. Γ ( - 1 - μ ) Γ ( 2 + μ ) [ Γ ( | - μ ) ] - '

ϊΐΓ*α-ίΓ(2+μ) •inh-ß)T'yS-,-i.iiWa)

13. Parabol ic Cyl indrical F u n c t i o n s

2Nf(x) Ngiy)

520

521

522

523

524

exp(iaV)D-2(ox) ΛΤ=ο( |π)*

exp(iaV)D,(aa:), » ' < - l iV=i r*2 i ' -* r ( - | - | ) ; ) a - i

exp(- iaV)D,(aa ; ) ΛΓ=2*'-*7Γ*α-ΐΓ(1- |> ' ) : - ' , v<l

expi\ah)Diy-iiax^), v<0 N=-iiT)h-W

x''eM-Wx')D,iax), μ > - 1 , »'<1 ΛΓ=2*('-^->ΜΓ(1+μ)

• [ Γ ( 1 + | μ - | . ) ] - ΐ ο - - - »

ihr)hexpilf/a^D-,iy/a)

^i2a)'lTi-hv)T'y-'-' •expiiv'/a^m+^u.hy'/a^

2ί·~*ΐΓ»[Γ(1-|ΐ ')3-»α-ι uF,il;l-h;-W/<i')

- ( V 2 ) V - ' [ 2 / + ( a + 2 / i ) « i • cos{ 21/ arctanCyy (a+y*) ]}

2«-Μ-ΐ )^»Γ(1+μ) [ Γ ( 1 + | μ - | ν )

-i2/y«^)

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13. Parabolic Cylindrical Functions 73

2Nf{x) Ngiy)

525

526

527

528

529

(cosx)"*^ exp(—a" secx) •D,[2a(l+seca;)*l z < i i r

0, x>hr p<l

N ^ T ^ i ' e x p ( - a«) [D}M(2O) J

D,\:axii)miaxi-i)il, u<-i N=-hrh-^iiv+h)Ti-p)T'

exp[^(a sinha;) «]I),(2a coshx), i'< 0 ΛΓ=2*'^ο-ν*Γ(- | ΐ ' )

•Cr(|-|v):-W},^,o(2o«)

expf—(asinhx)«]D»(2acoshx), v < l ΛΓ=2»·-ίπ»α-'ΤΤ},,ο(2α«)

sech (irx) D-i+ixia) D ^ , ( a ) ΛΓ=§ΐΓ*βχρ(|α«) Erfc(o)

ir»2i' e x p ( - a « ) A ^ ( 2 a ) 2 ) , ^ ( 2 a )

M a r ( - i ' ) ] - ' s e c ( w ) . [ J _ ^ ( | 3 / y a « ) - J _ ^ ( i j / y a « ) ]

ϊ - ί - ί α - ΐ Γ ί - . ) r T ( - i . ' + t § i / ) . r ( -§ , ' -%)TFj^ , j .v (2a«)

2i'~Ma-W},,}.v(2a«)

5ir*(sechj/)* exp(|o« sechy) •Erfc[2-io(l+sech2/)»]

Page 76: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

TABLE I I

FUNCTIONS VANISHING IDENTICALLY FOR NEGATIVE VALUES OF THE ARGUMENT

Defini t ions

Here/(a : ) is assumed to vanish identically for negative x. The Fourier transform G{y) o f / ( x ) then becomes

G{y) = f f{x)e^ydx = ί f{x)e^^ydx = g{y) + ih{y), • ' - 0 0 •'O

g{y) = ί fix) cos{xy) dx, h{y) = ί f{x) sm{xy) dx,

9(0)= Γ fix) dx = 1. •Ό

Table I I , which follows, gives Nh{y), while the properties Ν and g{y) are the same as those listed in Table I under the same number.

74

Page 77: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

1. Algebraic Functions 75

1. Algebraic F u n c t i o n s

Nfix) Nhiy)

7

13

14

15

16

1, x<a 0, x>a

Xy X<1 2-X, \<x<2 0, x>2

x-^y x<\ 0, x>\

ia+x)-\ x<h 0, x>h

0, x<b ia+x)-^, x>b n=2, 3 , 4 , . . .

0, x<b [ x ( a + x ) ] - i , x>b

ia'+x^)-'

x-^ia+x)''

ia+x)-i

x-^ia'+:x^)-^

ia-x)-i, x<a 0, x>a

ia-x)-\ x<b 0, x>b, b<a

2y-^ m?iya/2)

4i/-2 uny ur^i^y)

i2T/y)^Siy)

smiay) [C\iay+by)'-C\iay) ] +cos(a2/) {ß\iay+by) — uiay) ]

Σ 7 7 7 7 ia+b)-^i-y)^-^-'^

• c o s ß 7 r ( n — m ) —62/] — ( - 2 / ) ^ - ΐ ( η - 1 ) ! ] - ^ c o s ( a 2 / + | 7 m ) •Ci (a2/+6t / )+sin (ai /+ |7rn) si(a2/+%)]

a-i[cos(a?/) si(a2/+62/) —si(62/) — sin(a2/) C i ( a 2 / + % ) ]

(2α)-ΐ[β-^ί' ^iiay)-^y E i ( - a i / ) ]

7ra-*{ cos(a2/) [Ciay) — Siay) ] - s in (a2 / ) [ l -C (a2 / ) -Ä (a2 / ) ] }

i27ry)nsmiay)il-2Siay)^:\ +cos (a2 / ) [ l -2C(a2 / ) i ]}

( i^ )¥ / i ( i a2 / ) i ^ i ( i a i / )

(27r)*i/-*[sin(ai/)C(a2/) — cos(ai/)AS(a2/)]

siniay) [Ciiay) —Ciiay—by) ] — cos(a^) [siiay) — siiay— by) ]

17

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76 Table II: Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

18 (aä-r*)-! , x<b 0, x>b, b<a

^a-if eoaiay) [aiiay+by) - 2 si(ay) +si(a2/—6^)] -8Ϊη(αι/) [Ci(a2/+62/) - 2 C\iay) +Giiay-by)-\\

19 0, x<b ix'-a^)-\ x>b, b>a

eoaiay) [siiby—ay)—aiiby+ay) ] - s in (ay) [Ci(62/-at/)+Ci(62/-a2/) ]

20 0, x<b X-l(x-b)-i, X>b

6-iTCC(&i/)-S(6j/)]

22 0, x<b ix-b)-iix+b)-\ x>b

(26)-»T{ [Ci2by) - Si2by) ] cos(62/) -Cl-C(262/)-Ä(262/)]sm(62/)}

23 0, x<b ix-b)-^ix+a)-\ x>b

ir(a+6)-»{cos(ai,)[C(ai/+62/)-S(ai/+6i/)] -sin(ai /) [ 1 - Ciay+by) - Ä(aj/+6t/) ]}

24 ia'-3?)-i, x<a 0, x>a

lirHoCay)

25 xid^-^)-^, x<a 0, x>a

^oirJi(ay)

26 x-^icf-x")-^, x<a 0, x>a

( i ^ ) ¥ [ / j ( i a 2 / ) ?

29 x-^io?+:^)-^[_x^- (o2+r')*]-i 2r^a-^Te-^''Iii^ay)

30 0, x<a x-^i3?-a^)-^, x>a

-ih^)¥Jiihay)Yiiiay)

31 0, x<a x-Hri-a^)-*, x>a

-Wy[Hoiay)Y,iay) + 7ο(α2/)Η_ι(αι/)]

32 - w(2o)-* Erfp(ay)i] Erfc[(a2/)»]

35 x-^ia^-\-x')-*lx+ (a«+a^)i]-i 2*α-'sinh (lay) iCodaz/)

Page 79: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

2. Arbitrary Powers 77

Nfix) ΛΓΑ(2/)

36 0, x<a iira-»[cos(i>Mr)/„(o2/) — s i n ( ^ i r ) y „ ( a 2 / ) ]

n = l , 2 , 3 , . . . η -ύΤ^Σ k\{n+k-1) ![(2Α;) !(η-Α;)

2. Arbitrary Powers

ΛΓ/(χ) ΛΓΑ(2/)

37

38

39

40

41

42

43

44

45

3Τ-\ χ<1 ο, χ>1, ν>0

ib-x)', x<b Ο, x>b, ν>-1

3r-^ib-x)i^\ x<b Ο, x>b, ν,μ>0

χ ' ( α + χ ) - ' , - 1 < ι ; < 0

»'(o^+x?)-!, - 1 < ΐ ' < 1

ia'+x')^, ν>0

(χ2+2αχ)- '-», 0 < ΐ ' < |

x - -*(a2+x»)-»[(o2+a?) i+a] ' , ,-<§

ari(a«+x«)-»C(a«+a?)i-x]'.

-§«'-ΐιίΊ(ΐ ' ;»'+1;ί2/) - i F i ( v ; i / + l ; - t 2 / ) ]

-52r '"MexpC - t ' ( iw -62 / ) :7( i '+ l , % ) -explii^w-by)2yip+l, -iby)}

• iiFiiv; ρ+μ;-iby)-iFiiv; ν+μ; iby) ]

2 _ . . , /S-.H.i(«y)

Γ(ι+*.) Γ ( * - | . )

2 ' - M r ( i . ) i T ( f - i . ) r y - ' • i i ' 2 ( i ; f - i « ' , i - 5 ' ' ; i a V ) —Jfl-o'"' csc(iirj') siiih(oy)

2 — · π ί Γ ( | - ν ) (2//α)'[7,(αί/) -L_,(a2/) ]

T-'-^a-'ir^Ti^-v)y' •iJ,iay) coaiay)+Yyiay) sin(ay)]

2»o-T (I-1^) r*F},,}(02/) M-},.j iay)

a'ihir)¥lM'ihay)Ki-i,iM

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7 8 Table II: Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

46

47

48

49

50

51

52

53

54

55

χ-»(α«+χ«)-ί[χ+ ia^+x')ij, v<^

'\:ia'+:^)i+xT', »'>0

ix+ia'+3?)iT', i'>l

x^ia^+x')-'-^\ v>-l, ν-2μ<1

(α*-χ2)-5 , χ<:α Ο, χ>α

xia^—a?)"^, χ<α Ο, χ>α

i2ax-x')'^, χ<2α Ο, χ>2α

x'ia^-:!?)", χ<α Ο, χ> α, ν,μ> — 1

x-^ia^-x^)-* •{Za+ia'-A^)iJ+ia- ia'-I?)*!],

χ<α Ο, χ>α

-\<ν<\

X-iiV-3?)-i{ [ ( 6 + x ) i + t ( 6 - x ) i ] ^ ' + lih+x)^-iih-x)^J'}, x<b

Ο, x>b

a'ihi-)¥h-i,iiay) KM.ihay)

ατ'π C8civjr){^I,iay) sin(|w) +hijyiiay)-hiJi-iay) 1

y~h~'[ Ι+ΐΊΓ csciw) ZIyiay) cosC xc) -^Uiay)-hU-iay)l]

ίar^Bil+hv,μ~ip) •yiF2ii+ip;i+h»-n,hiay) +2'-^-^lΓiTi^P-μ) | Τ ( μ - | ν + § ) • y^·^hF2iμ+1; μ - i P + l μ-h+1; HV)

2'-Vr(Hi')7rV-'H,(a2/)

2-νΓ(Ην)π*2/-'/κ+ι(α2/)

(2a)'xir(H»')2/~''sin(oy) 'May)

ha·^^'Biμ+l, l+iv)y •iF,il+hu;l 2 + J v + M ; - | a V )

i2a)iBii+h'',^-¥)y •iFiil-hvA;-iay) •iFiii-hv;hiay)

•Jv+iihby)J-y+iihby)

Page 81: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

3. Exponential Functions 79

Nfix) Nhiy)

56

57

58

59

ix'-a^)-'-*, x>a 0, x<a

0<p<h

0, x<a ix'-2ax)-'-*, x>a

0, x<a x-^ix'-a?)-^, x>a

~h<''<h

0, x<a x-^ix^-a^-^lix+in^-a?)*!'

+ Zx-i:^-a^iJ], x>a

2-'->α-ν*Γ (§-».) y'

•May)

Or-^a-'niTi^-v) •[J.iay) coaay—Y,iay) sm(oj/)]

yaecivir)a-'"y • [Η,(α2/) Yy-iiay) - y,(oj/)H^i(aj/) ]

'UM'i\'^y)Y'>r^'i\ay) ^J^,i\ay)Y^^,i\ay)^

3 . Exponent ia l F u n c t i o n s

Nfix) Nhiy)

60 yia'+y')-'

61 j ; - i ( e -*^ -e -^ ) , o>6 arctanC(a— 6) y/ if+ab) ]

62 iv^a^+y^)-^ sm[f arctan(2//o) ]

63

65 Tiv) (a2+i/')-»/2 ginj-p arctan(y/a) ]

66 ( e - + l ) - ' 52/"*- |TO-'csch(in//a)

68 x-2(l-e-~)2 2a arctanCoi//(2/'+2o'') ]

logiy'iy'+Aa^/ia^+m

69 0, x < 6 ix-h)'e-^, x>b, p>-l

e-<*r(y+l)(o«+j/2)-i('+» • sin[62/+ (1/+1) arctan(y/a) ]

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80 Table II: Functione Vanishing Identically for Negative Values

Nfix) Nhiy)

70

71

72

73

74

75

77

79

e-^il-e-^)--\ v>0

r-\^+i)-\ v>0

expi—ax')

x~* expi—aa^)

x^expi—ou^)

x" expi — ajc'), v> — l

expi-ax-l^x^)

80

81

x^^exp{—ax—bx^), c > 0

exp[- (ar)3]

-§i6- i{5[v, ia-iy)/b2-B[y, ( a + % ) / 6 ] }

rW{r'sm(Aw) +ii(2a)-'[f(^H|%/a) - f (> ' , 5 -5%A)- f ( ' ' , 5%/«)

|ta-TW{rCv, 1+(ΐ2 / /α) ] - f ( ^ 1 -%/a )}

- |Mi-»ir»exp(-i /y4a) ErfC^iy/o*)

2-ia-i7r2/i e x p ( - | a - y ) 7 i ( | a - V )

2 - " * a - i 7 r y ' e x p ( - | a - V ) . [ 7 _ j ( | a - y ) - 7 , ( i a - y ) i l

- -iw^b-' 4

i;f;

\fa-iy\n exp LUJJ

— exp [m"]-c-?)i

exp I

^ • ( 2 6 ) - » ' e x p ( ^ ) r W

( t ^ ) i ) _ . [ ( a + i 2 / ) ( 2 6 ) - i ]

- e x p ( - i ^ ) D-^lia-iy) (2&)-»]

ί(3α)-ί2/ί{β'*'Αο,,[2(|2//α)¥·'] -e-ä'-'Äo.,r2(V«)'e-**']l

Page 83: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

3. Exponential Functions 81

Nfix) Nhiy)

82

83

84

85

86

87

89

90

91

92

xi'expi-ax"), μ>~1, 0 < c < l

xi'expi—ax"), μ > — 1 , c > l

x~^ expi—a/x)

x-'-^expi-\ayx), v>0

x-i exp[— ax— ib/x)^

a;~* exp[— ax— (6/ x) ]

x'-^expZ-ax- (6^«) ]

x-^expi-a^x-^)

exp(—ox*)

x~^expi—ax^)

x~^expi—ax^)

Σ ( - a ) » r ( M + l + w c ) ( w ! ) - ' n-O

c-'Σi- 1 ) ' ' α - ' ^ » > ' ΐ ( 2 η + 1 ) ΙΤ' n-O

•Γ[(μ+2η+2)/ο]2/«»+ι

(π/α)» expC- (2a2/)i3sin[(2aj/)»]

i2'a-'2/»'{ei'"u:,[a(i2/)»] -e-<i"ü: ,Ca(-t i /) i]}

χ1(ο2+^ΐ)-ίβχρ(-26*Μ) • [u sin(26»»)+t) cos(26*w) ] ,

«=2-i[(a»+2/«)i+a]», v=2-^iia^+f)i-ay

6-»ir»exp(-2fe*w) sin(26»i;), «=2 - i [ ( a '+ l / ^ ) i+a ] i t ; = 2 - i [ ( a ' + ^ i _ „ - ) i

i6'{ (α+%)-ί'ίί:ν[26(α+ί2/)*] - (a- i i / ) - i ' iC,[26(a- i2/)»]}

Σ C ^ ( 2 m + 2 ) + # ( m + l )

- l o g ( a y ) ]

r '+a(iT)*2/-'{sin(o/42/) . [ i - C ( a / 4 y ) ] - cos (ay42 / )B -S (ay42 / ) ]}

(2T)»2/-l{cos(ay42/)Ö-C(ay42/)] + s m ( a y 4 y ) ß - S ( a y 4 y ) : }

-|aJiry-l{/}(ay82/) ο ο 8 [ | τ + ( a y S y ) ] + rj(ay82 /)sm[iir+(ay8i/)]}

Page 84: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

8 2 Table I I : Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

93

95

96

101

102

103

105

x"'^ exp (—ax^), Ϊ^> 0

•exp [ -6(a2+i2 ) l ]

^-}(62+^) - i

•C(a2+a^)»+a]- βχρ[-6(α2+χ2)»3,

•exp[-6(o2+r')i]

(aä+a:^)-J[(a2+a^)i+a]-l ·βχρ[-6(α2+χ2)1]

• { [ α - (a2-r')J]2, exp[6(a2-r')}] + C o + (α>'-χ2)ί]2' βχρ[-6(α2-χ2) ί]} ,

x<a Ο, x>a

iT{2p) (22/)-'{exp[-t-(ivir+ (aySy) ) ] •D_2,[a(-t/22/)i] - e x p P ( i ^ + (aV&y) m^^MV^y)*!}

arctan(2//6)Zo[a(ft2+2/2)i]

- ( l A ) /" exp(o6cosi)< •Ό

•sinh(a2/sin<) dt

2-»TV/i{§6[(a^+2/^)*-a]! 'Ki{hKia'+y')i+a2]

2W 'a-lr(|+iv)j/-l

.D_^{(2a)*[(&2+2/^)i+6i} •Mw{a[(6^+2/^)»-6]!

o' csc(w) {τΓ sinCi/ arctaii(2//6) ]

— / Θχρ(αδ cosi) smh(o2/ sini)

•Ό •ain{vt) dt\

-t(2a)-lire"» Erfc{ai[(6!'4.j^)j-j_ft j } •Erf{m»[(62+2/2)i-6]i}

2»a-%-*r(f+j') •m-p)y-i.

•M_„i{aC6-(6»-2/2)i]}, 6>j/

4 . L o g a i i t h m j ic F u n c t i o n s

Nfix)

106 — logo;, x<l 0, a;>l

-Ci(t/)]

Page 85: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

4. Logarithmic Functions 83

Nfix) Nhiy)

107

111

\ogia-\-x), x<b 0, x>b

o > l

±logC(a2+a:^)/(6»+i^)] ± according as α 6

113 log{Ca;+(a2+a?)»]/2x}

115

116

117

118

120

121

123

log(l+a2a!-«)

—log(a—x), x<a 0, x>a

a<l

—log(o—x), x<b 0, x > 6

6 < a < l

—log(o'—x^), x<a 0, x>a

a<l

- l o g ( a ' ' - r ' ) , x<b 0, x>b

b<a<l

- [ x ( l - x ) ] - i l o g [ x ( l - x ) : , x < l 0, x > l

- ( 2 a x - x ' ) ' ' - i l o g ( 2 a x - x * ) , x<2a 0, x > 2 a

a < l n = 0 , l , 2 , . . .

2/-i{logo—cos{%) log(o+i>) +sin(oi/) lsiiay+by)—aiiay) ] +eo8iay) ZCiiay+by)-Ciiay) ]}

±r*C2 log(a/6)+e»» E i ( - % ) - e ^ E i ( -oy)+e"*» Ei(6y) - e - ' E i C a y ) :

rTi :o (a2 / )+7+log( | a i / ) ]

y - i [ 2 7 + 2 log(oy)-e«'' E i ( -a j / ) - « - " E i C a y ) ]

—i/~'{logo—sin(a2/) Si(a2/) - cosiay) [Ci(ay) - γ - logy]}

— JTM logo— cos(6y) log(o— &) +cos(oy) [Ci(oy— by)—Ci(a2/) ] +sin(ay) CSi(oy-6y) -SiCay) ]}

-y-^coaiay) [Ci (2ay)+7+log(y /2a) - 2 Ci(ay) ]+sin(ay) CSi(2oy) -2S i (oy ) ]+21oga}

-y-M21oga-cos(6y) log(o ' ' -y) —cos(ay) [2 Ci(ay)—Ci(ay— by) —Ci (ay+ by) ] — sin(oy) • [2 si(ay)—si(oy—öy) —si(ay+i>y) ])

-rs in( iy)Ö7rFo( |y) - ( 7 + l o g 4 y ) / o ( § y ) ]

- τ ( 2 η ) !(η!)-' sin(ay) (2y /o)-{iirF„(ay)

+hn\ Σ ( |ay)""' [m!(n-m ) rV„(oy) „-i

+ / „ ( a y ) C 2 i : ( 2 m + l ) - > - 7 m-O

- log (2y / a ) ] } n - 1

Forn=0, Σ ( ) = 0 m-O

Page 86: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

84 Table II: Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

124

125

127

128

0, x<a - log{C(x+a) i+(a ; -a ) i ] /2x i} , x>a

e-~(logx)='

log(l+e-"')

- l o g ( l - e - « ' )

h-'iirYoiay)+]o^-Ciiay) ]

ia'+f)-H ^-yiaTctaniy/a) J +iy+hiogia'+f)liyy+h ' logia'+y')-2a arctan(2//a) ])

r M l o g 2 - i ^ C l + ( i 2 / / 2 a ) ] -m-iiy/2a) (ί2//2α) ] +Uih-iiy/2a)2]

y-'{y+hl'ii+ iiy/a) ( V « ) : i

5. Tr igonometr i c F u n c t i o n s

Nfix) Nhiy)

129

130

131

132

x'^iainax)^

x-^'"iamax)^'", m= 1,2,3,

«-«(βΐηχ)"», n= 0,1,2,

(cosha—coac)"', .ι;<π 0, x>T

Uiy+2a)logiy+2a)+iy-2a) •logiy—2a)—2ylogy}

(mOVlog -

+ Σ ( - 1 ) " n -1

+ Σ ( - 1 ) " n -1

(2/-2an)2"-MogC2n-(i//a)] (m—n)!(m+n)!

(y+2any^-^ logC2n+ (y/a)] (m—n) ! (m+n)!

- ( - y ) -

2 n + l

+ Λ 2 n + l / .

2/[cos(ir3/)/sinha][ir2/ ' csc(irj/)]

+ Σ ( - Ο Μ η ' - Λ - ' β - » » n-O

Page 87: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

5. Trigonometric Functions 85

Nfix) Nhiy)

137

144

148

149

151

153

161

164

165

166

169

(sinz)", x<ir 0, χ>π

a>-l

x-i{ai-xi)-icos[bia^-3?)*l x<a 0, x>&

(siiu;)~*exp(—asiiu;), x<v 0, x>T

(sinx)"* exp(o sina;), x<ir 0, χ>π

log[csc(irx)], x < l 0, x>l

(sinirx) log(cscirx), x< 1 0, x > l

i '>0

sin(osinx), x<ir, a<v 0, χ>τ

cos(esinx), x<5ir, a<J i r 0, x>hir

(sinx)~* sin(2o sinx), x<ir 0, x>ir

(sinx)~* cos(2a sinx), x<ir 0, x>ir

a < | i r

(sinx)"* sin(2a sinx), x<ir 0, Χ>ΊΓ

α < | π

2-«irsin(§2/)r(H-a)

r(H-ia+i2/)r(l+ia-i2/)

•/ι{Κ(&^+Λ*-6]1

(§o)M Mhry) U-^iha)I-Myiha) -h-^i\a)h^iha)-\

(§a)M sin(ix2/) U^iha)U^iha) +7l_j,(|a)7}+}v(i«):

22Γ^ sin^(§2/) { 7 + l o g 2 + | ^ [ l + iy/2x) ] +Mi-KyA)]}

2>-T(v) s i n ( | 2 / ) { r ß + i p + ( 3 / / 2 » ) ]

•r[Hi''-(y/27r)]}-' •{log2+i^CHi^+(y/2x): +ΐΨ[Η§''-(ν/2π)]-^(^)1

k C J „ ( a ) - J _ , ( a ) ]

\π tan(|iry) • [J , ( a )+J_ , (o ) ]

ir(a7r)*sin(|ir2/) •/j_},(a)/j+}v(o)

7Γ(απ)*8ίη(§ΐΓ2/)

••^-i-i»(«)'^-l+l»(e)

2(o5r)»sin(|ir2/) •[•^-}+ίϊ(«)·^-+-Ι»(α) +Jn4 , ( a ) / }_ i , ( a ) ]

Page 88: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

86 Table I I : Functions Vanishing Identically for Negative Values

6. Inverse Tr igonometr i c F u n c t i o n s

Nfix) Nhiy)

173 arcsina;, x< 1 ' ΐ Λ ( ^ ) - 0 Ο 8 2 / ] 0, x>l

174 arccosa;, x< 1 - ΐ ΐ - Λ ( 2 / ) ] 0, a;>l

175 x"^ arcsinx, x< 1 1 - π ο

8ί(2/)+Γ<-Ήο(<)ώ 0, x>l

Δ

7. Hyperbol ic F u n c t i o n s

Nfix) Nhiy)

177 sech(aa;) -^a-M7rtanh(ia-i7r2/)

+imi+h-\) -φ^-Ια-'ν) ]}

178 [sech(aa:)]2 h'W(iia-'y)+^i-lia-'y) -φih+l^a-'y)-φii-ϊ^a-'y):\

182 χ csch (αχ) ^iα-W(H^iα-V) -φ\^-ι^-'ν) ]

183 cosh(aa;) sech(6a;), a<h

27rsinh(6-Vi/) cosh(6~^7r2/)+cos(a6~V).

184 sinh(oa;) sech(6a;), a<h 7Γ6"^ sin(ia6~^7r) smhi^b~^wy) . [cosh(6-i7ri/)+cos(a6-V)

Page 89: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

7. Hyperbolic Functions 87

Nfix) Nhiy)

185

186

187

188

sinh (ox) csch(6x), a<h

1—tanh(ax)

x*-^ (χ-^— cschx), —1< «< 1

x"^ sinh(ax) sech(6x), a<b

190

201

202

χ"^^""^"" cschx)

[cosh (αχ)+cos5]~^, — π < 6< π

[cosh (αχ)+cosh6]"^

- 6~V jsinh ( ^ J cosh ( — ) 2 I \ h j l \bj

+ C 0 S (^-jj

2 / - ^ - | a -V csch(|a-V?/)

t 2 - r ( s ) [f (s, i - z i y ) (s, H % ) ] -cos(is7r)r(s-l)i/-*^i

arctan[tan(iao~V) tanh(i6-V2/)]

' 3 6 ~ α + ^ \

-logr

logr

/ 3 6 - ο - ΐ Α "

46 / . _ , ^ ^ ^ ^ 3 6 + α + ^ Λ

-2/Dog(i2 /)-l]

00

(csc6)22/Σ (-l)"+ie„(2r'+fflV)-isin(6n)

08Λ6{2 /Σ ( - l )"€„(2 / ' +nV ) - i e -»*

— a~% csch(o~'iri/) cos(a~*6y) j

Page 90: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

8 8 Table I I : Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

210

212

215

223

225

226

0, x<a i coshx— cosha) x> a

(cschax)", 0<v<l

0, x<a (coshx—cosha)"", x > a

0<v<l

x-^e-^ sinhibx)

( e^ - l ) -^ s inh(ax) , a<b

e"^[sinh(6x)]", v>-l, bv<a

231

240

ictnh(6x*) ^ [tanh(6xi)

log[ctnh(ax)]

2~*π tanh iiry) P-^+iy (cosha)

cos(| ϊ /π)Γ(l-^/)

-('-i'-ä)r-(2) • cosh ( — )—cos(w)

\ 2 a /

2^5r - i r ( l - i ' ) ( c scho ) - i • siiih(jrj/) V{v-\-iy)V {v— iy) .pLr+,„(cosha)

|arctan[262/(2/2+o2_52)-i-)

. [cosh(26-V2/) -cos(2ai>-%) ]-> +ΐ |6-"{ψ[1+(«+ί2/) /&] - ψ [ 1 + ( α - ί 2 / ) / 6 ] }

- i 2 - ' -26 -T(y+ l )

r ß 6 - » ( a + i » ' - i y ) + i :

ΓΟ&-Κα-δ»'+φ)]

rß&-i(a+i»'+t2/)+ll See Mordell, L. J. (1920). Mess. Math.

49, 65-72.

7+21og2+

+

2^\2 4 a /

Page 91: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

8. Gamma and Related Functions 89

Nfix) Nhiy)

250 exp(—asinhx) yS-uy{a) = ^T cschivy) Uivia) +J-iyia)-Ma)-J-iMl

251 exp (—acoshx) csch(7r2/) j exp(o cosi) cosh(«/<) dt • a

-^TUiy{a)+I-iy{a):\

252 (sinhx)"* exp (—2α sinhx)

W-i+%(a) i^ i+%(ö) ]

256 (sinhx) ~* exp (—α cschx) - 2 * I m { r ( H % ) .D_J_·,[(2α^)*]i)-i-^·.C(-2α^)*]l

261 (cscx)* sinh(a sinx), χ<τ 0, Χ > 7 Γ

2~*oM sini^wy) 'Ii^»ih)lMika)

262 (cscx)* cosh(a sinx), χ<τ 0, x>T

(ia)hismihry) 'I-i-iyih)I-Mih)

265 (cscx) * sinh (2a sinx), x < ττ 0, x>T

2(απ)ί sin[(7r/2)2/][7_i_j,(o)7_H4,(a) -7i_jv(o)7i+j„(a)]

8. G a m m a a n d R e l a t e d F u n c t i o n s

Nf(x) Nhiy)

277 X Erfc (αχ) ία-'τ-^νΜ-Λ-,-^/α^)

278 Erfc(ax) , V - T l - e x p ( - i a - V ) ]

280 x»^! Erfc (αχ) §a ' - ' Γ ( 1 + ^ ν ) Γ ( Η ^ ν ) π - 1 [ Γ ( § + Α . ) 3 -ν

282 Erfc[(ax)*]

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90 Table II: Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

291

292

293

302

303

311

312

-Eii-ax)

-Eii-bx), x<a 0, x>a

-e-"Eii-bx), a>-b

Biibx), x<a 0, x>a

e-^Siiax)

ß - C ( « c 2 ) ] c o s ( < u 2 )

S(ax->)

iy-''iogil+fa-η

-hy-HEi\:-aib+iy)2+EiZ-aib-iy)2 -logil+y'b-^-2 cosiay) Ε ϊ ( - α δ ) }

- (ο2+2/)- '{α a r c t anC2 / (a+6 ) - i ] -hϊog[b-y+il+ab-ψ2}

§2/-i[Si(ai+ o y ) + S i ( a 6 - ay) -2 cosiay) Si(a6)]

+y arctan

V'+ia+y)' V'+ia-y)^

( ^ ) - y arctan ( ? ^ )

+

\ 4 a / \ 4 a / J \ 4 o /

C{ — ]—S[ — I cosl — U \ 4 a / \ 4 a / J \ 4 a / J

i2 / -M2-exp[-2(ai /)*] - cos[(2a?/) i ] - sin[(2a2/) *]}

9. El l ipt ic Integrals a n d Legendre F u n c t i o n s

Nfix) Nhiy)

320 Kiih-kx)^l, x<l i^iTii)r'y-^si.oiy) 0, x>l

328 0, sinhx< α~' -§irtanh(§iri/) cscha;Ä:C( 1 - α-2 csch^x) i ] , sinhx> a"' .φ_5+%(Ρ) B^iO-^iiyiP)l,

ρ=α+α-ψ

Page 93: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

10. Beesel Functions 91

Nfix) Nhiy)

333

344

345

348

il-x')-i^Piix), x < l 0, x > l

μ- v<3, μ+ν<2,

<ß,(H-2a''sinh2a;), 0<o<l ,

- l<i '<0

$,(l+2a''sinh2x), e > l ,

-1<«'<0

0, s inhx< l / a

^(2a*sinh2x-l), smlia;< 1/o, - l<i '<0

2^-ν*(1-μ->') (2+ί—μ) · ί Γ Ο ( 3 - Μ - . ) ] Γ Β ( 4 - μ + . ) ] ! -'y'^-*Si-μ,i+,iy)

~h sech(iiry) Im{Pr'*''(r) • CQi*''(r)+Q*:*2i-i(r)]), r= (l-o^)*

[2asm(w)]-itanh(iiri/) •{PIi;Us)RereL+|V,j,(s)] +PlY+,i„(s)Rerei][;!}„(s)]},

s = (1-0-2)»

( ο τ ) - ι Ι ι η { Ο Ι Ϊ ΐ ^ ( 1 + ο - 2 ) * ] •QLV+,,,C(l+o-2)i]l

10. Besse l f u n c t i o n s

W ^ ) Nhiy)

371

372

373

380

381

x-i[Joiax)J

x-iiMax)J, v>-\

lx'Max)J, - i<i ;<0

Jo[6(ox-x^)»], x < o 0, x>a

αό<2το,ι

(ox-x=')- iJ , [6(ax-r ' )»] , χ < ο Ο, χ>α

ab<2r,,i, ρ>-1

(V2/)Mi'-iC(i-4oV-^)*]P, y>2o

(W2/)»r(H.)[r(f-.)r' .{P=5;C(l-4aV-^)i]p, ί/>2α

22-π-Τ (Η^) [1(1-2.;) ]-Η2ο)· •y- '^(4o ' ' -2 / ' ) - 'e '"Oli_} •[(2/2+4aV4o2/], y<2o

22'ir-i 008(2^) ?(!+") (20)· •2 / - ' -K2/ ' -4o«)- 'e-"Oi_i •[(y2+4a2)/4a2/], y>2o

2sin(ioy)2-'sin(^a?), 2=(62+2/')i

7Γ sm(io2/) J} , [ io (0+y) J /4v[ io(2-2/) ] ,

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92 Table II: Functions Vanishing Identically for Negative Values

Nfix) Nh(y)

382

383

384

385

390

391

394

{ax-x')i''Jy[b{ox-x')^2. x<a 0, x>a

α6<2τΜ, P>-1

-Yo[b{ax-3?)^2y x<a 0, x>a

a6<2fo.i

0, x>a a^<2fM, - - 1 < ϊ ' < 1

— \og{ax—x^)Jo[b{ax—Qi?)^2) 0, x>a

aö<2ro,i, α < 2

Λ (α sinx), χ < 7 Γ Ο, Χ > 7 Γ

ϊ/> — 1 , α<τ„.ι

cscx Λ(ο sinx), χ < 7Γ Ο, Χ > 7 Γ ϊ/>0, α<Τν , ι

(sinx)~^Jm(a sinx), Χ < 7 Γ

Ο, Χ > 7 Γ m = 0 , 1 , 2 , . . . , α<Τη»,ι

(xa)*(ia6)''sin(^ay)

'Q^+f)'^-^J.^W^+m

-2τΓ^ύη{\αν)ζ-^ ^[un{\az)[Ci{\oz+\ay) +Ci(ia2— ^ay) ]— cos(f o«) . [Si( |a^+|a2 / )+Si(ia0- ia2/)]) ,

^=(6^+2/^)*

—7Γ sin(iay) {cos(|7n/) •[/ iv(ia2+ia2 /)yi . ( ia0-ia2/) + Yky{\az+\ay)JU\az-\ay) ] - s i n ( ^ ) [/i.(ia2+ia2/)./j.(ia2-ia2/) + Y^.{\oz+\ay) YUl^^z-lay) ]},

^=(6^+2/2)*

-^z-^[un{^az)[Ci{az)-^ Ci{haz+hay) - \ Qi{\az-\ay)+\og(\ah)-\ogz'\ -cos{\az) [Si(a2) - I ^\{\az^\ay) -\^i{\az-\ay)~\] un{\ay),

7Γ sindTTi/) J j ^ i , ( i a ) JiK+iyda)

TrCia)'"! !! sin(^7ri/)

• Σ €nC(m+n) ! (m-n ) ! ] - i /n- i , ( |a)

·Λ4-*ι/(2«)

Page 95: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beseel Functions 93

11. Modified Besse l F u n c t i o n e

Nfix) Nhiy)

399 ίΓ*=Ίο(αχ), 6 < o

Ktiax)

s^Koiax), n = 0 , 1 , 2 , . . .

x"^^Koiax), n = 0 , l , 2 , . . .

x^Koiax)

x-iKoiax)

K,iax), -l<v<l

xfKyiax), μ±ρ>-1

x-iI,iax)K,iax), ν>-\

x-iiKyiax)7, -\<v<i

xt-'Kyix)K,ix), ί>\μ\+\>'\

(a2+2/»)-J log{a-»[y+ ia'+M

( - l ) » ( 2 n ) \ i a ' + y ' ) ^ Q M a ' + y ' ) - * l

(-l)»i^(2n+l)!(a2+j/ä)-"-i

i ( 2 T ) ¥ { 2 5 C ( i - | 2 / 2 ) i ] -2m^+hß)y+Kiih+hyz)*l

ihrz)HKiih+hz)*l -mi-hz)*l}. z=ia'+y>)-*

hr C8c(^w) (a»+2/*)-l{a-'Ci/+ ia'+m -a'iy+ia^+y')^T'\

hr cscίiτiμ->')lTil+μ+v) ia'+y')-^ • lP7iyi^'+i/^-^l-P7i-yi<^'+f)-^l}

m+p)im-y)rKWy)* •e"-QlJ[(H-4oV')»]^I|[[(l+4a*2/-2)l:

r ( f + v ) c r ( | - p ) r

2f-21T(l+r)]-> r [ | ( f + j u + v + l ) ] · Γ [ Κ Γ + μ - ' ' + 1 ) ] Γ β ( ί - μ + . - + ΐ ) ]

• m ( f - M - i ' - i ) ] y 4 i ' 8 B ( r + M + ' ' + i ) , K f + M - « ' + l ) , K f - / . + ' ' + l ) , Kr - M - v + l ) ; § , i ( f + l ) , l +r / 2 ;

400

401

402

403

404

405

407

411

418

419

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94 Table II: Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

420

423

429

431

432

433

437

442

443

444

445

3?'expi-x')Iyi3?), -\<P<0

x^Kiiaa?)

xi'expi-3?)K,i3?), - 1 - 2 ν < μ < - 1 + 2 ί .

X-'Koiax-^)

Koiaxi)

x-*K2yiaa*), -h<v<h

ixia-x)lril^lxia-x)y], x<a 0, x>a

7ο[6(αχ-χ^)*], x<a 0, x>a

iax-:^)i'I,g)iax-3?)i-], x<a 0, x>a

v>-l

KoU)icuc-3?)i^, x<a 0, x>a

ica-x')-iK,[biax-x^)i2, x<a 0, x>a

- ! < ! / < 1

^m+p)iTii-v)TKh)-''

•r'' e x p ( - y y 8 ) i F i ( J - 2 ^ ; 1- . - ; W)

hra-Khry)mwa)-mm ]

2r^hriTii+h-p)Tii+h+p) ·CΓ(f+iμ)r'2/

•2F,il+y+p, 1+y-p; | + * μ ι | ; - iy*)

Ta -V£(2ay ) i ]X i [ (2ay ) i ]

-hr'iCiiW/y) oosiWv)

+siiW/v) s m ( i a y y ) ] —Jir' seeiin>)y^

• [cos( W - i ^ - W/y)MW/y) -sinihrp-hr-W/y)YyiW/y)l

i r sm ( iay ) / , ( s i ) / , ( z2) , zi=la[,y±iy'-m 2

2 sin(§oy) i (62_2^)- is inhßa(6»-y2) i l y < 6

' iy^-V^)-isinlW-m, y>b

(7ra)»(§o6)'sin(ioy) i (62-y2)- i - l /H4Öa(&2-y2)»l 2/<6 \if-l^)-i'-iJy^iW-m y>h

- s i n ( l a y ) (2/2-6*)-» •{sina[Ci(2i)+Ci(22)] -cosaCSi(2i)-81(22)]}

2 i=ia[y±( i /2-62)»l a=^a(y*-62)4

y > 6 y < 6

—iir^ gec(iflT,) sin(^ay) G/jv(i2i) I'-jXiau) + Γ},(§2ι)/-,,(*22)1 ί />6

zx=ha[3,±iy'-m

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11. Modified Beseel Functions 95

Nfix) Nhiy)

446

451

456

457

465

466

467

m

471

474

Zxii+x)yiK^[xii+x)y\,

Xo[6(a^-e*)*l x>a 0, x<a

ia^-a^-iKlHa^-a^-], x>a 0, x<a

-l<p<l

KJiaiix)i2Koiai-ix)i:i

K,laiix)i2KM-ix)*l - ! < « ' < 1

72,(2a siiu), x<v 0, x>ir

v>-h

{8mx)~^Im{2a sinx), x<ir 0, χ>π m = 0 , l , 2 , . . .

cscx l2p{2a sinx), Χ < 7 Γ

0, x>T

p>0

"2,» (2a sinx), χ < π 0, x > i r

iir2sec(7n/){cos(^l/) . [Λ(ε2) Y.izi) -Mzi) ] -s in(i2/) •[Λ(^ΐ)Λ(^2)+Γ.(.ΐ)Γ.(02)]!,

Ζι=ϊί(ν^+Ί/')^±ν1 2

|αα"^ cos(ay) {cosa[Ci(2;i)—Ci(«2) ] +sina[si(0i) —si(22)]} -^aa-^ sin{ay) {sina[Ci(2i)+Ci(22)] —cosa[si(2i)+si(22) ]}

a=a{fji'+f)i, zi=a±ay

K62+2/2)-*{cosaCCi(^i)-Ci(22)] +sinQ:[si(2?i) —si(02)]}

a==a{y^+f)^, zi=a±ay 2

|7r2sec(j7n/) 'iM^2)YU^l)-Ji.MYU^2)l

^ ι = Κ ( 6 ^ + Λ * ± 2 / ] 2

^2/-^θ_ι.ο(^αν^)

i7n .csc( |7 r i ; )2 / - ' 'S - i , . ( iaV')

7Γ sin(|7n/)/„-4i,(a)7v+iy(a)

n-O

. [ ( m + n ) ! ( m - n ) ! ] - i / n - i y ( a ) / n + i « ( a )

jTraj/-^ sin( |πί/) 'ily-i-^yla)l^+iy{a) — / v + M i / ( « ) ^H-i-Hi/(c^) ]

^^^080(271^) sin{^iry) . [ /_^(a )J_ ,+ i j , ( a ) - / ^ ( α ) / . 4 4 ^ ( α ) ]

Page 98: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

96 Table I I : Functions Vanishing Identically for Negative Values

Nfix) Nhiy)

476 Koi{a^+h^'-2ab cosx)^2> x<'^ y Σ enif-n^-'il- ( - 1 ) - cos(π2/) ] 0, χ > π n-O

. / n ( 6 ) i i n ( a ) , 6 < a

478 K2v{2a sinh^x) itV^ csc(27n/) Q/^j,(ö) F_^ii,(a) —/_,^iy(a) Yv-iy{a) —Jy+iy{a) Y-.^iy{a) +J-^iy{a)Y,+iy{a)2

487 üCo[(a2+62+2a6 coshx)*] Σ {-iren{n'+y')-Un{h)Kn{a) n-O

—§7Γ csch(7r?/)iiLij/(a)

. [ 7 , , ( 6 ) + / _ , , ( 6 ) l a>b

12. Parabol ic Cyl indrical F u n c t i o n s

Nfix) Nhiy)

520 expi\aV)D-2iax) -h-'v^MWM) Eii-hv'/a')

521 exp(|aV)D,(oa;), . ' < - l τ ΐ Γ ( § - § . ) ] - Η 2 α ) '

524 x''expi—Wx')D,iax), v>-l 2}(-Μ-«^ΐΓ(μ+2) [ Γ ( ^ μ - ^ ^ + § )

-Wa')

Page 99: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

T A B L E I I I

FUNCTIONS NOT BELONGING TO EITHER OF THESE CLASSES

Defini t ion

Here

Gm = Γ fix) dx = 1. •'—00

The following tables give NG(y).

97

Page 100: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

98 Table III: Functione Not Belonging to Either of These Classes

Nfix) NG{y)

1, 0<x<h 0, otherwise N=b-a

χ'», 0<x<h 0, otherwise n = 0 , l , 2 , . . .

N=b^+^{n+l)-'

x\ 0 < x < 6 0, otherwise v>-l ΛΓ=δ-+·ι(^+ΐ)-ι

χ-" , 6 < x < o o 0, - ο ο < α : < 6

iV= ( ί , - ΐ ) - ΐ δ ΐ -

( α + χ ) - " , 0 < χ < ο ο Ο, - ο ο < χ < 0 ν>\

( 6 - x ) ^ 0<x<h ο, otherwise Ϊ ; > - 1

χ'''(α+χ)-\ 0 < χ < ο ο Ο, - ο ο < χ < 0 0<ν<1 Ν^ΊΓΰΤ" csciTir)

χ - ^ χ - δ ) " , 6 < χ < ο ο Ο, otherwise 0 < Ϊ ; < 1 N=Th-'' csc(7n/)

iy-^{e-^-e-^y)

m—ο

( i 2 / ) - ' ^ i 7 ( ^ + l , % )

{iy)^'T{l-p,iby)

{iy)^'e^yT(l-v,iay)

{iyy'-'e-'^y{p+l,-iby)

war' cscMlTMT^ 'e^yV(v,iay)

irb-' C8c(tv) [Γ(μ) T^T(v, iby)

Page 101: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Functione Not Belonging to Either of These Classes 99

Nfix) NGiy)

10

11

12

13

3r-^ii+x')-\ o<x<oo 0, — <»<x<0 0 < i ' < 2 N=^Tcacihirv)

ix-b)'-^ix+b)-'-*, b<x 0, otherwise

Λ Γ = ( 2 δ Α ) - ί Γ Μ | Τ ( Η . ) ] - ι

14

15

16

xr-^ia+x)~^, 0<x<«> 0, - ο ο < χ < 0

iV=(Va)»rW[T(H,/)r

x'ia+x)!", 0<x<<» 0, - o o < j ; < 0 -1<ν<-μ-1 ΛΓ== ο · ^ Τ ( 1 + ν ) Γ ( - Ι - ν - μ )

. [ T ( - M ) r

ix+a)^^ix-b)^\ b<x<oa Ο, otherwise 0<ν<^-μ N= ia+b)^i^^i2»)

'ηί-2μ-2ρ)ίηΐ-2μ)Τ' ix-a)^-\b-x)^-\ a<x<b 0, otherwise M,>'>0 ΛΓ= (&-α)2 ' '+«'-Τ(2μ)

·Γ (2 , / ) [Γ (2μ+2ν) ] -

il-x)-Kl+x)'^\ - l < a : < l 0, otherwise »',μ>0 N=2·^-^Biμ,v)

ia^+ixdzb)^!--

N=iTc^a^-^Tiv-^)[Tiv)T'

ircsc(«T)7,(2i2/, 0)

2 - i H r ( v ) D _ 2 i 2 ( % ) i ]

2Ό-*Γ iv) e<i<*D_2v[(2Mi2/)*]

α«'+^>Γ(1+0(ί2/)-*('+^>

( o + 6 ) ' ^ - T ( 2 v ) (%)-"- ' • expp |2 / (a - b) ]Tfμ_,,μ+,^[Ϊ2/(α+6) ]

( 6 - α ) · ^ - Η ί ί / ) - ' - ' β χ ρ [ - ϋ ι / ( α + 6 ) ]

· ι ί Ί ( μ ; ί ' + μ ; - 2 % )

π»2^««'[Γ(.')]-' . ( § | 3 , | / α ) ' - ί ί : ^ ( α | 2 / | )

Page 102: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

100 Table III: Functions Not Belonging to Either of These Classes

Nfix) NGiy)

17

18

19

20

21

22

23

24

25

26

Zia'+x^+xlr^ (}<x<OO 0, - o o < x < 0 v>l ΛΓ=α'+ν(ϊ/2_ι)-ι

(a2+x2)-i[a:+ (α2+χ2)ί]-.^ 0 < χ < oo 0, - o o < a ; < 0 v>0 N=v-^ar'

e-«^, a<x<b 0, otherwise N=c-^ie-^'-e-^')

0 < λ < 1 Ν=τα^-^ csc(irX)

xia+e-')'^e-^ 0 < λ < 1 iV=7r'a^"^ csc(irX) (loga—7Γ ctnTrX)

ia+e-^)-'ib+e-^)-h->^^ 0<\<2

N=irib-a)-' CSCCTTX) (a^-i-6^-i)

0<α<ϊ/ /ο

iV=c exp[6(a—i'/c)]ß(ac, v—ac) e-^^log(l+e-^) - 1 < λ < 0

( l+e- ) -Uog( l+e- ) N=t'/6

(l+e-)-Mog(H-e-)

. [ Ι . ( % ) - Λ ( % ) ] - 1 }

πα "CSCCTTV) • [ Ι . ( % ) - Λ ( ι α ? / ) ]

- e x p [ - 6 ( c - i V ) ] }

^^λ-1+»ν CSc(7rX+l7r?/)

• [loga—7Γ ctn(^X+*7r^) ]

7Γ(Ο—c)~^ csc(7rX+i7r?/) .(^λ-ι+.ν-5λ-ι+ίν)

c exp[6(a—i//c)] •exp (%)J5 [c (a+i? / ) , j / - c ( a + % ) ]

7Γ(λ+%) ^ CSCITX+iwy)

ITT csch(7r2/) [ 7 + ^ ( 1 — ]

— ίτΓ csch(7r2/)[^(i/)—ψ(ϊ/—1*2/)]

Page 103: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Functione Not Belonging to Eitlier of These Classes 101

Nfix) NGiy)

27

29

30

31

32

33

34

35

36

e-^ia+e-')-' log(o+e-*) o > l , v>\>0 N=a^-'Bi\v-\)

• C l ^ W - ^ ( ^ - X ) + l o g a ]

e"exp(—oe*) N=cr'Tiv)

ve"exp(—oe*) N=a-'Tiv)ZΨiv)-loga2

Cexp(e-»)-ir*e-^ λ > 1 ΛΓ=Γ(λ)Γ(λ)

[exp(e-«) + l ] - ' e - ^ λ > 0 iV=(l -2 i -^)r (X)f(X)

N=2Koi2ab)

sech (oa;+6) Ν=τα-^

[8echiax+b)2' v>0

N=2-'a-mhp)JiTiv)T'

exp[—i> tanh (ox) ]Csech(aa;) 0<a;<<»

0, - « > < a ; < 0 i '>0 N=i^a-Khb)^'Tihv)Ii,-iib)

exp(oV+62e-^) EMaei'+be-^) N=2Koi2ab)

ο^-·+*«'5(λ+%, v-\-iy) ' ifiv) —fiv—\— iy)+logai

'"Tiv+iy)

a-'-*>>Tiv+iy)[.4'it>+iy)-logai

Ti\+iy)n\+iy)

(1_2ΐ-λ-<»)Γ(λ+ίί/)τ(λ+ί2/)

2(6/ο)*Κ<,(2α6)

m-^e-^l' sßchi^y/a)

2^'a-^iTiv) exp (%/a ) 'm>'-iiy/2a)2mp+iiy/2a)2

a-i^'-ib-^'lTiv)T' • T[iv+iiy/2a) mp-iiy/2a) ] •M,»/2o,m(2&)

2(6/0)·«'sech (ιγ2/)α:<,(2ο6)

Page 104: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

102 Table III: Functions Not Belonging to Either of These Classes

Nfix) NGiy)

37

38

39

40

41

]:ia+x)ia-x)-'y

0, | a ; | > a Ar=46-'smh2(Aa6)

exp(-ae*)7,(6e'), a>b, v>0 N=v-ψla+ia'-V')iT'

x^Kiiaxi) Ν=2π3ήα-'

[ (a+6e - ) (ae -+6 ) - i ] i -•K,iia'+l^+2abcoshx)i2

N=2Ki,ia)KUb)

expC— (o sinha;) 2]D,(2o sinhx), 0 > . ' > - l

iV=2i'(2jra*)-iexp(a2) .cos(i7n')[rKl+v)TTF_i,,o(2a2)

26-' {cos[a(2/*- 6*)»]- cos(o^) +i2/(2/*-6*)-*sin[a(2/ä-62)i] — isin(o2/)}

Γ(μ+ί2/)(α*-6*)-*·''' . ^ l U a ( a * - ö * ) - i ]

2 7 Γ 3 - ί α - » β χ ρ ( - ί ι ^ / α * )

2ii:j„_<,(o)iCjH-.,,(6)

2i'(2ira*)-* •exp(a*)r[Kl+i '+%):rC5( l+»'-%): • cos[iir(i/- %) ]ΐΓ_},,,·}„(2α*)

Page 105: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

T A B L E ΙΑ

EVEN FUNCTIONS

Defini t ion

These tables contain the inverse transforms of the tables from pp. 15-73. The numbers a t the beginning of each formula coincide with those of the corresponding formula pair of P a r t I.

105

Page 106: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

106 Table Ι Α : Even Functions

Ngiy) 2Nfix)

60

129

306

400

282

63

399

131

k ( o - ^ y ) , y<2a 0, v>2a Ν=\πα

hria+y)-'

W+f)-^ N=\wa-'

iWid^+mi€?w)*+ay N=iT/a)i

• { [ ( 6 * - a * - 2 / » ) 2 + 4 W

N= il^-a^-i

i ( _ l ) » 2 - 2 n - 2 ( 2 „ + l ) - I 'My+iiaV]-^ L\ 2n+l )

_ '(n+h-iha\Y \ 2 n + l ) \ J - l ) n 2 - 2 n - 2 ( 2 n + l | -1

- 1

L\2n+1 / . \ 2 n + l / .

—sin(aa;) si (ox) —cos (ox) Ci(aa;)

Erfc[(ax)*]

η = 0 , 1 , 2 , . . .

2· Arbitrary Powers

Ngiy) 2ΛΓ/(χ)

406 2 - W ( a * + 2 / * ) - ' - i r ( H ' ' ) ,

1. Algebraic F u n c t i o n s

Page 107: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

3. Exponential Functione 107

Ngiy) 2Nfix)

405 ^8eoihn>)ia^+y^)-* •{a-'[y+ia^+m +a'iy+ia'+m']

iV=^o-»sec(iirv), - l < y < l

K,iax)

3 . Exponent ia l F u n c t i o n e

Ngiy) 2N}ix)

7 ir(2a)-ie-»«' ΛΓ=τ(2α)-»

115 ^-i(l_e-^») N=7ra

log(l+o%-«)

111 T y - \ e ^ - e ^ )

N=ia-b)ir, a>b

9 ^ia'-P)-'lb-'e-*»-cr'e-^2 ΛΓ=ΐΓ[2α6(ο+6)]->

73 KVa)*exp(-i/ /4a) ΛΓ=ΚΐΓ/α)»

exp(—oa:*)

277 ih-^+y-') expi-W)-y-' a; Erfc((ia;)

33 l ^ ( _ l ) m + « ( „ t ) - l

• (d»/<fe") [ 2 " - » exp(-2/«i): N= (-1)'"+»π(2»η) ! (2n-2m)!

•2-2"->Cn!m!(w-TO)!]-*

n, m = 0 , 1 , 2, . . . , w > m

447 |π(οδ)-ΐβχρ[-α(62+2/2)»] ΛΓ=ΐ7Γ(αί>)-ΐβ-»»

439 iT(6»+i/^)-lexpC-a(6»+j/2)»] N=hrb-'e-^

Page 108: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

108 Table ΙΑ: Even Functions

Ngiy) 2Nfix)

99 ihT)Ka'+f)-*ia+ia'+m (62+x=')-i[(6^+a^)»+&]i

•expi-bia'+m .expC-a(6='+a;2)i-]

N=iv/a)ir^

283 2riaexpi-a^b) ia*+y')-i EMaib+i^+x^)*y} • W+ (a^+2/^)»]-i expi-bia*+f)i2

N=ia-^ expi-2a^b)

441 hra-'ia^+f)-i e x p [ - 6 ( a « + ^ * ] cos[y arctan (a;/6) ] •{iia'+y')i+yj+iia^+y')i-yj}

N=^a-'e-^, - ! < ! ' < 1

4. L o g a r i t h m i c F u n c t i o n s

Ngiy) 2Nfix)

304

30S

61

223

190

^iry-Hogil+y/a), y<2a ^ j r M o g [ ( i / + a ) ( y - a ) - i ] , y-^2a N=hra-'

hry-'logil+y/a), y<2a \iry-nogif/a^-\), y>2a

k\ogiia'+f)iV^+f)-'l N= logia/b), a>b

\log\ V+ia+b)'

ly'+ia-b)^]

log(l+e-'>') N= log2

a>h

[si(ax)T

[Ci(ax)T

x-h-^ 8mh{hx)

x-^ix"^—cschx)

Page 109: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

5. Trigonometric Functione 109

5. T r i g o n o m e t r i c F u n c t i o n s

Ngiy) 2Nfix)

1 y-'^amiay) N=a

1, x<a 0, x>a

172 iry~^e~^ sm(o2/) ΛΓ=α5Γ

arctan(2aVa;2)

2 42/-^ cosy sm*(|y) N=l

X, x<l 2-x, l<x<2

0, x>2

10 |πα-'βχρ(—02/2"*) sin(iπ+2-*αy) (α«+χ*)-'

8 Ίώ~^ <iOsiay)e^ N=irb-^

[ft»+(a-x)*]-i +U^+ia+x)'r'

12 §iro-' CSC(2Y>) expi—ay cos ) ·siniφ—ay sin )

N= ira-^ secY>, —^ΐΓ<φ<^π

x2[x*+2oV cos(2v)+a«r

11 ^a~^ cos(2i>) expi—ay cos ) 'smiφ+ayam.φ)

Ar=ixa-'sec<p, - | π < < ρ < § 5 Γ

[a:<+2oVcos(2v>)+a^r*

227 i(V6)*cos(W/&) exp[Ka*-i )/6] Ar=§(V6)»exp(ioV6)

exp(—6s*) cosh(oa:)

312 irM8inC2(oi/)»]-cos[2(oi/)i] +exp[-2(ai,)»]l

N=a

Siax-')

84 (τ/α)» exp[- (2a2/)*: cosC(2ai/)i] N= (ir/a)*

376 2-* sin(az) «=(62+j/2)l, N=b-^smiab)

ab<To.i

JoW-x')*!, x<a 0, x>a

Page 110: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

110 Table ΙΑ: Even Functions

Ngiy) 2Nfix)

380

87

2 coai^ay)z~'^ smi^az) N=%-^ami^ab), a6<2ro.i

iT/b)i expi-2bhi) co8(26»«;) N= (7Γ/δ)»βχρ:-2(α6)»] u V

= 2-*C(ai+2/«)»±a]»

Jo[biax-x')^2, x<a 0, x>a

χ"* exp[—αχ— ]

6. Inverse Tr igonometr i c F u n c t i o n s

Ngiy) 2Nfix)

492

291

2 %

65

64

125

230

arccos(i//a), i /<o 0, y>a N=h^

y~^ arctan(2//a)

τ arctan (a/y)

α-'Γ(ν) (l+j/^/a*)-*' cos(i' arctany/a) ΛΓ=α-Τ(ΐ'), i '>0

TH+v)ia'+y')-i-i'e-^ •cos[6äi+(i'+l) arctan(2//a)]

Λ Γ = α — ^ ( l + O e - ^ , i ' > - l

ia^+f)-H kaTr'+2y arctan(y/o) + a [ 7 + ^ l o g ( a ' + / ) T —a[arctan(j//o) f]

N=a-'ih'^+iy+loga)^2

§απ*(6»+2/*)ί exp{a*6[4(6^+2/2) •cosCf arctan(j / /6)-ia^(6*+2/*)-']

Ar=iai>Mexp(-iaV6)

χ-Ήο(οχ)

- Ε ϊ ( - α χ )

x- i [e-« Eiiax) _ e « E i ( - a x ) ]

0, x<b ix-b)'e-'"^, x>b

e-"'(logx)='

exp(—6x) sinh(aa;*)

Page 111: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

7. Hyperbolic Functions 111

Ngiy) 2ΛΓ/(χ)

303 1 (62+y2)-i{6 arctan[(a+2/)/6] —b arctan[(j/—o)/6] -hlogU^+ia+y)'! +hi\ogU^+ia-y)'l}

Ar=6-iarctaii(o/6)

e-*» Siiax)

293 (α*+ί/»)-Μ2/ arctan[y(a+6)-'] +ialogC(l+a/6)«+2/«/6»]}

N=a-Hogil+a/b), a>-b

-e-^Eii-bx)

523 -ihr)*'r'iy+ia+m • cos{2i' arctan[j/»/(a+2/*) ]}

N=-i^)h-'a\ v<0

X ' ^ expi^ah) D2y-iiax^)

7. Hyperbol ic F u n c t i o n e

Ngiy) 2Nfix)

240 ^-^t&nhila-hry) log[ctnh(aa;)]

177 ia'hr sech(^a-iirj/) iV=§a->ir

sech (αχ)

178 ha-^vy cschdo-Vy) [sech(aa;) J

127 | [ Ο 2 Γ ' ' - ' Π Γ ' csch(o-iiry)] ΛΓ=(12ο)-ν

l o g ( l + e - ' )

128 - | [ 0 2 / - * - j T j r * ctnh(o-%2/) ] N= ( 6 o ) - V

- l o g ( l - e - ^ )

239 iir(H-y2)-> sech(W) coshx log (2 coshx) —X sinhx

179 la-^ia'+f) sech(irj//2a) [sech (ax)] '

Page 112: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

112 Table ΙΑ: Even Functione

Ngiv) 2Nfix)

236

205

243

247

242

269

202

201

204

203

238

248

185

(l-j/*)(l+t/»)-*

N=l

(i7r)Ml+2cosh[(2ir/3)%]}-'

iry"^ sech(fπί/) siiih[^ arcsin(a/6) ] N=7Γ arcsin(a/6), a< b

7ry~^8mh{by/a) sech(j7rt//a) N=wa-% b<^T

2π^^ cschi^iry) smh^i^y arcsina) iV'= (arcsina) 2, a < l

^iry"^ sm{ay/b) sech(j7ry/6) N=iira/b

a~V csch6 un{by/a) csch(iri//a) N= ar^b cscho

a~% csc6 sinh(62//a) csch(ir2//a) ΛΓ= α-^δ csc6, 6 < π

|a~%sec( |6) cosh(a~%) sech(a~%i/) i \ r=ia-Vsec( j6) , 6 < π

ia""% sech(j6) cosh(%/a) sech(7r2//a) iV= ia -V sech(i6)

Tty-^ csch (πι/) [cosh(^2/) — cosh(ai/) ] ΛΓ=|7Γ2-|α2, α<7Γ

πί/-ι csch(7ri//a) [cosh(q//a) — cosh(62//a) ] ^=Κ<^-δ')Α, c>6, c,6<7r

i6""Vsin(a7r/6) • [cos(α7Γ/6)+cosh(πί//6)

i \ r=i6-Vtan(faT/6) , a < 6

- l o g ( l - e - 2 x ) coshx

( l+2cosh[(27r/3)*a ; ]}-i

iog[{b+a sechrc) (6—α secha;)"^]

log cosh(aa:)+sin&

Lcosh(aa:)—sin6j

—log(l—asecho;)

arctan[sinha sech(6x) ]

[cosh (aa;)+cosh6]-i

[cosh(aa;)+cos5]~

cosh (|αα;) + [cosh (αα;)+cos6]~^

cosh(iax) • [cosh (αχ)+cosh6]~^

log (1+cosa sechx)

log cosh(ax)+cos6 Lcosh(ax)+cosc J

sinh (αχ) csch(6x)

Page 113: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

7. Hyperbolic Functione 113

Ngiy) 2Niix)

183

225

357

182

67

191

192

271

362

435

442

516

«•6-1 co8(^a/6) c o 8 h ( ^ / 6 ) • [cos(air/6)+cosh(iry/6) ]"»

A r = ( ^ / 6 ) s e c ( W ö ) , a<h

i6-V8m(2oir/6) . [cosh(2iry/6) -οο8 (2ατ /6) ]">

N= ^ [6-ΊΓ c tn (a i r /6 )+O-»] , O < 6

2-»(a+co8hj/)-* iV=2-i(14-a)-*, - l < a < l

K ' r / a ) T s e c h ( W a ) ?

i ir*-KVa)Tcsch(»j / /a)T

2a'[sech(oy)]» ΛΓ=2ο»

fCa8ech(ioj/)]*

2-^τΓ(2α)[8βΛ(ί^)Τ· ΛΓ=2-*νΓ(2α)

(^)*Γ(μ) ( l - a 2 ) * ^ ( a + c 0 8 h y ) ^ ΛΓ= (|π)»Γ(μ) ( l - a ) b - i ( l + a ) - » ' - l

- 1 < 0 < 1 , μ > 0

if-l^)-iamlaiv'-m, y>h (6S_j^)- lginh[a(6ä-j /2) i l 2/<6 iV=6-'smh(a6)

2 co8(foy) '(6»-2/«)-isinhßa(6»-j/*)»], 2/<6 [iy'-l?)-^aulW-m, y>b

Ar=26-ismh(^a6)

irexpC—osinhy)

cosh(aa;) sech(6x)

(e»'- l)- isinh(aa;)

sechiirx) P-ii-Ua)

X caehiax)

xi^-1)-^

(a^+a?) aech{^x/a)

x{a^+:x?) cach{^x/a)

I T(a+ix) p

\Τ(μ+ιχ) I PLlWa)

0, x>a

Ο, χ > ο

Äo,.x(a)

Page 114: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

114 Table ΙΑ: Even Functione

Ngiy) 2Nfix)

189

200

188

276

359

364

194

j l og 4

l+ooahiiry/b)

Lcosh(in//6)+cos(2air/ö)J

Ν ilogCco8(air/&)l a<^b

^log

N= log

cos iwb/c)+cosh jvy/c) Lcos(ira/c)+cosh(iri//c) J

coai^b/c) Icoai^a/c)]

c>a>b

1 , .

i V = - l o g

'cosh(^iry/&) +sin(|oir/6)

L c o s h ( W 6 ) - s m ( W 6 ) J

l+sinCV/i»)

L l - s m ( W 6 ) J ' a<b

ir-Hf»" coshy)-» •log[(l+cosh2/)»+ (coshj/)*]

JV=fl- i (k)-*log(l+2i)

T-i(2cosh2/-2a)-»

C(l+coshy)*+ (coshy-o)*J •log

ΛΓ= (2-2o)-*«-»log

1+a

[2»+(1 -α)»?· 1+α

- 1 < α < 1

(^)»(α»-1 ) -*' 'Γ( | -μ) • (o'+smh«y)i^ cos{ i\-μ) •arctan[(l/a) sinhy]}

ΛΓ= ikκ)Kc?-\)-^oι^τi\-μ) μ<\, 0 < α < 1

2-§{a-ir«'+2 sinhy arctan(2-* cschy) —coshy Iog[(coshy+2-*) .(cosh2/-2-»)-»]}

iV=2-iCir-21og(2*+l)]

a;-i[smh(aa;) csch(6x)

χ-ι csch (ex) • [cosh(ax)—cosh(6x) ]

χ -1 sinh(ax) sech(6x)

Π Γ { | + ΐ χ ) I c o s h M r *

[sech(Tx)JP_}+.x(a)

cosh(lirx) I Γ ( ^ - μ + ί χ ) I* •PiL}+ix(«)

( l+x«)- 'sech(iTx)

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7a. Orthogonal Polynomials 115

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199

196

195

224

241

193

1 . 1 - τ sina e" cosa cosht/ 2 2

•log coshiz+sina

Lcosh /—smaj

+sina smhy arctan (cosa cschy) iV=^sina

—cosa log[ctn(j7r— a) ], a< ^

iye"*'—i+coshy l o g ( l + ^ ) iSr=§(21og2-l)

ye'~^+coshy log(l+e"" *') iV=log2

b'hr smiaw/h) cosh(^2//6) • Ccos(27r2//6) - cos(2ax/o) ^ -§α(α2+2/2)-ι

iV=i6-Vcsc(aV6)-^a-S a<b

2Try'^ QSQhi^y) •sm2{ii/log[(l+a-2)*+a-i]}

iV={log[(l+a-2)i+a-i]}2

2 cosh(^y) -e*' arctan(e-^) —arctan(e*^)

iV=2 - i 7r

( l+x^)-^ sinh(air) csch(§^x)

a:(l+r^)-icsch(irx)

(l+ar^)-isech(j7rx)

( e ^ + l ) - i sinh(ax)

log(l+a-2sech2a;)

(l+x*)-isech(7rx)

7a. Orthogona l P o l y n o m i a l s

ΛΓί;(ι/) 2iV/(x)

76 (_ΐ )η2 -η -1^-2»-1^} x 2 ' ' e x p ( - o V ) •exp(-i2/2/a2)ffe2„(2-iy/a)

ΛΓ= (2α)-2' '-Μ(2η) !/n! n = 0 , l , 2 , . . .

401 (- l)-M2n)!(a»+2 /*)-»-i

iV=7r(2a)-2"->[(2n)!/n!J n = 0 , l , 2 , . . .

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116 Table ΙΑ: Even Functione

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138

137

211

322

324

70

341

325

343

2 — W ( l + a ) [ r ( l + i a + i i / ) •r(l+i«-ii/)r

N=2-^hrTil+a)[Til+^a)T\ a>-l

2-«jrcos(i2/)r(l+a) •iTil+^a+h)Til+ha-h)lr\

a>-l iV= 2 - v r ( l + a ) [TCl+^a)]-"

h-'^LTih)m+b)T' 'mv+ihy/a)Tihu-ihy/a)

iV=ia-Mrai;)[r(§+|;')rS ' ' > 0

hro08iTy)ril+hy)Vi\-h) 'im+h)ni-hi)r'

N=i>riTi\)JimT'

Mar)-'\n\+ib/a)Y N=^ian)~mm

hb-nBiu, ia-iy)/b2+Bip. ia+iy)/b2] N=b-^Biv,a/b), v>0

-^-HmiPT)Ti-h+¥y) •Ti-hv-hiy)Tihp+i+¥y) 'TiM-¥y)

N= -hr-' smipr)iTi-h)Tih+h)7, -l<v<0

hrm+\iy)ril-iiy) •iTii+\iy)Til-hv)T'

N=hriTi\)7ini)T' 2->^hriTii+h'-h+¥y)

-Ti^+h-h-hmi-h-hß+hy) 'Ti-h-y-¥y) . [ Γ ( - ν - Μ ) Γ ( 1 + ν - μ ) Γ ( | - μ ) ] - '

N=2-i-hc-i[Tii+h-hß)n-¥-hß)J

'ίη-ν-μ)ηΐ+Ρ-μ)η^-μ)Τ\ Η - μ < 0 , μ - » ' < 1

(cosx)", x<¥r Ο, x>¥r

(sinx)", x < x 0, x>ir

[sech(aa;) ] '

Ä:CCOS(|X)], x < v

0, x>ir

sech(ox) i i [ tanh(ox)3

e«(l_e-»«)v-i

<ß,(coshx)

sechx X(sechx)

(sinhx)'"!ß5;(cosha;)

8. G a m m a F u n c t i o n s ( I n c l u d i n g I n c o m p l e t e G a m m a F u n c t i o n s ) a n d R e l a t e d F u n c t i o n s

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8. Gamma Functione and Related Functions 117

Ngiy) 2Nfix)

350 2r^Tii-ß)mil+p+ß+iy)-] (sinhx)-"

-mil+p+ß-iy)! •e-**»Oi!(coshx)

•{m+uu-ß+iy):\ -Tii+hip-ß-iy)!]-' ΛΓ=2^-ΜΓ(^-μ)

• {ΓΟ (1+Η-Μ)]}ΜΓ [1+έ(>'-Μ)]}Λ μ + Η - 1 > 0 , M < |

351 2^2[Τ (1+»')Γ (1+ΐ' -μ)]- ' (s inhx)-^!

'mii+p-ß+iy)mii+p-ß-iy)l •e-*"Oi(ctnhx)

•mii+p+ß+iy)mii+y+ß-iy)l i\r= 2 ' - ' [Τ(1+ί ' ) r i l + v - μ ) ] - i . { Γ Ο ( ΐ + ν - μ ) ] Γ Ο ( 1 + Η - μ ) ] Ρ ,

μ < i . ' ± μ > - 1

226 2 - - » 6 - Τ ( 1 + . ) mh-Ka-J.-iy)l ^ ' mb-Ka+bu-iy)+ll

e-<«[sinh(6x)]'

mb-'ia-bu+iy)2 mb-Ka+bH-iy)+l2' mb-'ia-bu+iy)2

mb-Ka+bH-iy)+l2' i '> — 1 , 6i'<o

N= 2-'->6-'Γ(1+»') r d o i - i - ^ v ) '[Tihab-'+hp+Dy

212 2O-Vsm( iw ) r ( l - i ' ) . iTil-^p+Wa)Til-h-hiy/a) • c o s h ( ^ / o ) [cosh(iry/o) — cos(w)

0<i'<l N=h-'Tih)Tih-h)

(cschax)'

66 \cr'ίφiih//a)+φi-^h/a) ~Ψih+iWa)-ψih-ih/a)l

J\r=o-Mog2

(e"+l)->

151 2Γ' s in2/ [7+log2+i^( l+iyA) log[csc(irx)], a;<l +*Ψ(1-Ιί/Α): 0, x>l

N= log2

ISO log[sec(i5ra:)], x< l •CT+log2+i^(l+i , /x)+^(l-y/T)] 0, x>l

iV=log2

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118 Table ΙΑ: Eren Functions

Ngiy) 2Nfix)

237

153

152

184

187

294

281

2'-^iaTip)T'\TihH-¥y/a)\' ' {ψip)-hg2-•Remhp+¥y/a)2}

N=2-^''a-^Bih,h) ^ίΨi^+h)-Φih>')l, p>o

2^-'rip) cosih)

• im+^v+hMrih+h-hM r +m+h-h/T)-fiv)l

N=2'-'Tiv)[Tih+b)lr^ •Dog2-4'iv)+4'iH¥)l, p>o

2^-'Tiv)im+h+yMT' ^ίm+h-yMr'[^o(ß-Φip) +m+h+yM+m+h-yM 1

Ar=2 ' -TW [ r ( |+ |^ ) r ' 'Dog2-φip)+Ψihl·m P>0

- K ^ ' ) - K ^ ) Kf)K?)+"*(?)-+2ir sinl

i V = § 6 - ' [ x t a n ( W ö ) +φil-Wb)-4'iί+ϊa/b)2, a<b

-Tis-1) Γ is) {2-(β- mis, HiiV) +iis,h-¥y)l-y'-'smi^irs)}

J V = 2 r ( s ) f ( s ) ( 2 - - l ) , - l < s < l

Ty-'Eni^ya-i) N= (x/a)»

hr Enciy/a) Λ Γ = | χ

[sech(ax)] ' •log[cosh(cKi;)]

[sinixx)]"-! • log[csc (xx) ] , z < 1

0, χ > 1

•log[sec(^x)3, x<l 0, x>l

smh(aa:) sech(6a;)

a;»-i(a;-i—cschx)

-Eii-ax")

- ύ - ' e x p ( - a V ) Erf (MM;)

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8. Gamma Functions and Related Functions 119

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295

229

297

78

79

32

228

28

103

529

k(T /a)»exp(i2/ä/a) Erfc(|i/a-i+i>*) i\r=^(ir/a)iErfc(6*)

- 2 - * a - » y e x p ( - J ^ / a * ) Erfc(2-»a->i/) ] N=ihT)-*a

hrir/aKexpih/^/a) Erfc(iya-i) +iexTpi-W/a) Erf(t§|/a-i)]

N=hriir/a)i

ib-^TexpiaΨ)lexpi-by) Erfc(oft-Jy/a) +exp(6i/) E r f c ( a 6 + ^ / a ) ]

N=^b-hr 6χρ{αΨ) Erfc(a6)

4 exp [ \ 26 jj

i V = j 6 - V e x p ( i a V 6 2 ) Erfc(ia/6)

(2a)-»7rErfc[(a2/)»] ΛΓ= (2α)-ν

( ix) i{exp ( - i2 /*) - i ( ix)» i / Erfc(2-»2/)}

(2a)-^7re"''Erfc[(a2/)i] iV=ir(2a)-i

(2a)-lxe°»Erfc{a»C(62+i/2)j+5-|jj

ΛΓ= (2a)-iire<* ErfcC(2a6)i]

| ( ί Γ sechy)* βχρ(^α* sechj/) • E r f c [ o ( H 5 s e c h j / ) » ]

JV=|7r»Erfc(o)

-expCaar») E i [ - ( α τ ^ + δ ) ]

x - » ' « e x p ( - a V ) s i n h ( a V )

exp(—αχ*) Εί(αχ*) -exp(oirä) Ε ΐ ί -οχ*)

(6*+x*) - ' exp ( - aV)

exp{—αχ—6*x*)

(α*+χ*)-ί •[a+(a*+x*)»r*

x-*exp(—x*) sinhx*

χ-*[α+χ+(2αχ)»]- ι

(α*+χ*)-*[α+(α*+χ*)»]-* •exp[-6(a*+x*)»]

sech(irx) •D_j+.v.(a)Z)_i-te(a)

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120 Table ΙΑ: Even Functions

Ngiy) 2Nfix)

109

292

279

290

450

452

106

175

114

116

118

-h-^{g-">Zy-logi2a/y) ] -β««Έΐ(-2α2/)1

i\r=o-Vlog(2o), o > l

y-^[smiay) E i ( - a 6 ) —arctan(i//6) —|t Ei(—o6—fay) + i i E i ( - ( r f ) + i o y ) ]

Λ Γ = δ - ΐ - α Ε ί ( - α δ )

mi-\v'/a')-Eii-W)l N=logib/a), a<b

-hr-ia-^ expiW) E i [ - H^+W/a") ] i V = - i ^ - i a - ' E i ( - 6 * )

- Ιτα- ΐβ-»* Eii-z,)+<^ E i ( - 2 i ) ] Λ Γ = - ^ α - ΐ Ε ϊ ( - α ό )

xih'+y')-i{expi-aiV^+m .Dog(a6)- | log(6*+2/*)] -expCa(&*+3/*)i] Ei[-2a(6*+2/*)i]}

ΛΓ=χ6-ΐ[β-* l o g a - e ^ Ε ΐ ( -2αδ) ]

y-'Siiy) N=l

k[Ci(2 / ) - J to(3 / ) ] iV=ijrlog2

ia-%[sin(a2/) Ci(ay) —cos(ay) si(ay)]

-jri{sin(a2/)CCi(o2/)-7-log2/] —cos(a2/) Si(ay))

JV=o( l - logo) , o < l

y-^{cosiay) Si(2o2/)+sin(oy) • [ 7 + l o g ( k / « ) - C i ( 2 a y ) ] }

Ar=2a( l - logo) , o < l

(a*+x*)-Mog(o*+x*)

E i ( - 6 x ) , a;<a 0, x>a

x-XEnoiax)-ETfcibx)2

exp(oV) Erfc((M;+6)

(a*+x*)-i

log(a*+x*)i:o[6(a*+x«)»]

—logx, a;<l 0, x>l

x~^ arcsinx, x< 1 0, x > l

( r ' - a*) - i log(x /a )

—log(o—x), x < o 0, x>a

—log(o*—x*), x < o 0, x > o

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19

17

18

117

107

120

311

432

cos(ay) [Ci(oy+%) — Ci(oy) ] +sm(o2/) Isiiay+by)—siiay) ]

Ar=log(l+6/a)

a'^lcoaiay) Ciiay+by) +8m(aj/) 8iiay+by)—Ciiby)^

JV=o-Mog(l+o/6)

(2a)-i{ sin(ai/) Csi(6y— ay) +aiiby+ay) ] — cos(ay) ICiiby- ay) - Ciihy+ay) ]}

ΛΓ= (2α)-ι logC(H-a) 6>α

cos(ai/) CCi(a3/)—Ci(a2/— hy) ] +sin(a2/) [si(oy) —si(oj/—6j/) ]

JV=-logCl-(Va)] , «'<α

(2a)-Mcos(a2/) [Ci(ai/+6y) -Ci(o3/-6j ,) ] +sin(aj/) [si(ai/+%)—si(a2/—fty) ]j

ΛΓ= (2o)-i logC(a+fc) ( α - 6 < ο

— s i n ( ö y ) log(a— 6) +sm(oi/) CCi(oy) — Ci(ay— by) ]— cos(oy) [Si(ay) -S i (ay -6y ) : }

ΛΓ= 6 - ο loga+ ( α - 6) log(o- 6), 6< o< 1

y-*{sin(6y) log(o+6)—cos(oy) [si(ay+6y) — si(oy) ]+8Ϊη(οι/) [Ci(oy+by) -Ci(ay)]}

ΛΓ= (α+δ) log(o+&)-α loga-6, o > 1

—y-i{sin(6y) log (o*—6 ) —cos(ay) • [si(oy+6y)—si(oy— 6y) ]+sm(oy) . [Ci(ay+6y ) -Ci(ay -6y) :}

iV=26+(a -6 ) log(a-&)-(a+6) •log(o+6), 6 < o < l

§(2ax)-»[sin(iy*/a) Ci(iy*/a) -cos(iy*/a) 8i(i2/*/a)]

JV=i(Wa)»

iirTCi(iaVy) sin(V/y) -8i(iaVy) C08(iaVy):

ΛΓ=2ο-*

(α+χ)->, a;<6 0, x > 6

0, x<h lxia+x)r\ x>h

0, x<h (χ*-α*)-ι, x > 6

( a - x ) - i , a;<6 0, x>b

ia'-x')-\ x<h 0, x>b

— log(o—x), x<b 0, x>b

log(a+x) , x<b 0, x>b

- log(o*-x*) , x<b 0, x>b

Ö-C(ax*)]cos(ox*) + β - 5 ( ο χ * ) ] 8 ί η ( α χ * )

Koias^)

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122 Table ΙΑ: Even Functions

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385

379

386

383

451

456

-42 -Msm ( ia2)CCi(a2)- | Cii^az+^ay) Ci(§o«-Jay)+log(|f l*)-log2]

-cosi^az) [Si(o«) Sii^az+^ay) —I Siiiaz—^ay)} cosdoy)

N= - 46-i{ sinCioft) [Οί(αό) - Ci(|o6) +log(ia)]-cos( iai»)[Si(at) - S i ( | a 6 ) ] } , a < 2 , o6<2ro.i

-22-»{sm(a«)[Ci(2as)-§ Ci(<K+ay) —J Ci(a2—aj/)+log(o6)—logz] -cos(ae)[Si(2cK;) - J Si(a2+ai/) - i S i ( a 2 - o i / ) ] )

iV= -26-i{sm(a6) CCi(2ai) - Ci(a6) +loga]-cos(oö)[Si(2ot) - S i ( a 6 ) ] } , a < l , αό<το,ι,

2 = ( δ * + Λ ί

- M-ifsinCo«) [Ci(a2+oi /)+Ci(aä!-ay)] -cos(as) [Si(og+ay)+Si(oz-03/) ]}

ΛΓ=-2(6ΐΓ)-»[8Ϊιι(αδ) Ci(a6) -cos (a6) Si(a6)3, οδ<Γο,ι,

- 2 ( ΐ Γ 2 ) - ι cosdoy) {sin(§a«)CCi(§02+io2/) +Ci(ia2—^oy) ]—cos(ia2) .CSi(|a2+ia2/)+Si(^<M:-|aj/)]}

iV=_4(6^)- i [s in( |o6) Ci( ia6)-cos( io6) •8iihab)2, a6<2ro,i, 2=(6'+i/*)»

| o a - i coaiay) {smaCCi(2i)+Ci(22) ] -cosa[si(2i)+si(22) ]}+ |αα-» sm(ay) • {cosa[Ci(2i)—Ci(22) ]+s ina [s i (2 i ) -Si(22)]}

«=o(6*+2/*)», 2i=aC(6*+y*)»±y]

ΛΓ=&-ΐ[8ίη(ο6) Ci(ai))-cos(ai>) 8i(ai>)]

|aa- i{sma[Ci(2i)+Ci(22)] —cosa[8i(2i) +81(22) ]}

ΛΓ=δ-»[8ίη(ο6) Ci(o6)-co8(a6) 81(06)] a=a(6*+2/ä)J, 2ι=α[(6*+2/«)*±?/]

—log(aa;—r')/oC6(<M;—X*)*], x < a 0, x>a

- log(a*-x*) •Λ[6(α ' -χ*)»1 χ < α

Ο, x>a

-Yoibia'-^)*!, x<a 0, x>a

-FoC6(ox-x«)*] , x<a 0, x>a

ί:ο[6(2αχ+χ«)»]

0, x < o ίΓο[6(χ'-α')*], χ > α

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8. Gamma Functions and Related Functions 123

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453

517

518

20

16

13

22

23

-§aa-Msma[Ci(2i)+Ci(z2) ] -co8aCSi(zi)-Si(22)]}

N= hb-'ii coaHab) [ 8 ί ( - Μ ΐ δ ) -Siiiab) ] -8mh(e6) [Ciiiab) +Cii-iab)2\

a=aif-V')i, 2i=a(j/dz(j/*-6*)i]

üTgif-V") = 0, y>b y<b

308

sin(ocoshi/) Ci(ocoshy) —cos(o coshy) si(a coshj/)

N= sin« Ci(a)—coso si(o)

—cos(ocoshy) Ci(acoshj/) —sin(a coshj/) si(o coshj/)

N=—cosa Ci(a)—sino si(o)

i2x/y)iCiy) N=2

b-iirii-Ciby)-Siby):\ iV=Hi r

(2ir/i/)*[cos(oi/) Ciay)+smiay)Siay) ] ΛΓ=2ο*

πο-*{cos(o2/) il-Ciay) - Siay) ] +sin(a i / ) [C(ay)-S(a i / ) ]}

(2ί>)-*«·{ cos(6y) [ 1 - C(262/) - 5(2%) ] +8in(6y)CC(2i>y)-S(2bi,)]}

ΛΓ= (26)^ir

(o+6)-»ir{cos(o2/)Cl-C(ai/+6j/) - Siay+by) ]+sin(oy) ICiay+by) -Siay+by)2}

N=ia+b)-h

i2a/r)-i{cosiW/a) ß - Sily'/a) ] -Bmi\y^/a)Zh-Cilf/a)2]

i\r=i(2«/T)-*

Ο, x>a

sech(^a;) 5ο,<χ(α)

a;csch(ira;)/S_i,,x(o)

a;-*, a;<l 0, x > l

0, x<b x-^ix-b)-*, x>b

(α—x)-*, x<a 0, x>a

x-iia+x)-'

0, x<b ix-b)-iix+b)-\ X>b

0, x<b ix-b)-*ia+x)-\ x>b

—sin(ax*) si(ax*) —cos(oai) Ciiaa?)

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124 Table lAs Even Functione

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307

313

90

91

14

38

317

316

318

521

xi2aM-i{smi\y'/a)ih-SiW/a)l + c o s ( i i / * / a ) Ö - C ( V / a ) ] }

ΛΓ= ihr)h-i

^Mi+iCiy/a)J+ZSi\y^/a)J -W/a)-Silf/a)}

N=hr

arH2yA)-*{ cos(iaVy) β - CiW/v) 1 +smiW/y)ih-Si\am

N=2a-'

i2w/y)HcosiW/y)ih-siW/y)l -MW/y)ih-siia^/y)l}

ΛΓ=2α-»

2a-*- i27ry)H cos(at/) [ 1 - S(ay)»] -sm(aj/)Cl-2C(a2/)J]}

N=2a-i

-hr-^Hexpi-iihn>-by)2yiv+l, iby) -exp[iiiin>-by)2yiv+l, -iby)}

N=b'^'iv+l)-\ v>-l

h^i\y')'-*yih-'',h'/a) ΛΓ=χ»ο--*(1-2ι /)-ι , v < §

hKii\f)'-*Tih-p,\m N=iria'-ii2v-l)-\

i(Va)-»r(H .)[r(l-.)r

ΛΓ=^π(7Γ/ο)ί(Τ(1-«') 0 θ 8 ( π ν ) ] - ' , - l < i ' < 0

x»(2a)'cr(-i.)rr'-'

Λ Γ = τ ί 2 ί ' - ^ Γ ( - § - | ν ) ο - > .Cr(-i.)r(J-§.)r\ "<- !

— cos(ax*) 8i(aa:*)

x-M οο8(αίΓ*) [C(ax*) - S(ax*) ] +8in(ax*) [C(ax*)+S(ox*) - 1 ] }

exp(—ox*)

x-*exp(—ox*)

(a+x)-»

( δ - χ ) ' , x < 6 0, x>b

x-'^'Tiv, ax")

χ-^'yiv, aa?)

exp(ox*)r(v, ox*)

exp(ioV) i) ,(ox)

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9. Elliptic Integrale and Legendre Functione 125

9. El l ipt ic In tegra l s a n d Legendre F u n c t i o n e

Ngiy) 2Nfix)

414

415

409

403

404

273

366

368

369

360

493

τ(4αΗ-Λ-*Χ[ί /(4αΗ-Λ-*] iV=iir*a->

xiia+b)^-y'lri •K{\j/'+ia-b)'Jm-ia+b)n

N=xia-\-b)-^Kiia-b)Ka+b)-i2

[(a+&)*+i/*]-i 'K{2iab)iZia+b)'+fT*]

ΛΓ= (α+6)-ιΚ[2(ο6)»(ο+&)-ι1 a>b

hi2xz)H2Eiih-hlz)H-2Eiih+hz)*l -Kiih-iyz)*l-Kiih+Wl}

N= (2a)-ia-i[T(f) J, z= ia^f)-*

ibrz)Wit+W¥rmh-hz)n

N=\i2a)-*[Tim, 2=(a*+2/)-»

26-ΊΓ-* sech(ij//6) J!:Ctanh(Jj//6)] ΛΓ=(6«-)-ι

π-1 sech(iy)2i:[(l-a*)» sßMh) ] ΛΓ=Χ-ΙΑ:[ (1-Ο*)»] , α < 1

π-» sech(§i/)ir{Cl- (l-a*)sech(§2/)*J} ΛΓ=ΐΓ-'Χ(<ι), α < 1

«-'CaH-sinhHi2/)J^ •Ä:{a(l-o-*)»CaH-sinh*(^) ]"»}

ΛΓ= (oir)-»X[(l-o-*)-i] , α> 1

2(2ir)i[(l-a*)H-coshj/]-i •-K{[Hi(l-a')-*coshy]-i}

ΛΓ=2(2ΐΓ)»[1+(1-α*)ί]-1 • Ä { c m ( i - « ^ ) - » r » ) , α < 1

(2π ) ί (1 -2 / * ) ίΗίρ - -» (2 , ) , 2 ,<ι 0. y > l ΛΓ=2—ν [Γ (1+ρ) ] - ' , ν > |

[ϋΓο(αχ)ϊ

/oCM^oCoa;)

x^Koiax)

x-^Kaiax)

I r(i+i&^) 1

sech(irx)[P_j+,-,(o)]«

[sech(Ta;)J . Ρ _ } + ώ ( β ) Ρ - ί + ί χ ( - α )

sech(7rx) .[φ_Η,·χ(α)ϊ

I n\^¥x) \'P-^isia)

X — Ή , ( χ )

Page 126: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

126 Table ΙΑ: Even Functions

Ngiy) 2Nfix)

510

416

410

494

373

412

407

i ( W a ) » 2 - ' ' r ( - i . - i ^ ) r ( i . - j M )

| ( a 2 - j ^ ) J M 4 i p j ; + iy/a), y>a iy/o), y<a

N=hra>'Ti-hß-b)Ti-y+¥) •iTih~y+h)Til-h-h)T\

μ±ν<0

i i r * s e c M ( a 6 ) - *

N= h'^iab)-^ 8 β ο ( π » ' ) φ _ ΐ ( ^ Η - W « ) , - i < « ' < i

N=U(^)-iOy-iihMWa), a>b,

(JIT)-* C08iin>)a'Til+2v)y-^ •ia"-f)-i^ZlZ\ia/y), y<a iy'-a^-i-^PZl^Zlia/y), y>a

N = - 2'ii* CSCCHT) O - - ' | T ( i - V ) ] " ' ,

-K ' '<o

-ixfUia/y+h/a) -2e-<"OUia/y+h/a)l y<2a -^•^-*smirv)ar-iy-'-iiTih-v)T' . ( ί /*-4α*)- 'β-·"θ:^(α/2Η-ΐ2//α),

2/>2α

-K ' '<o

2r'^hriTii-v)iy/a)' . (3/*+4α*)-ίΡΓΑ[(ί^-4α*) {2Η-4α*)->]

ΛΓ= ν - Τ ( ν ) Γ ( § - ν ) !Τ(Η2>') Τ\ 0<v<i

hr8ecQlriμ-y)2Til+μ+v) .(a*+j/*)-*''-i{Pr[i/(oH-2/*)-»: +ΡΜ"Τ^ί/(«Η-ί^)-*]}

μ ± ΐ ' > - 1

K,iax)K,ibx)

I,ibx)K,iax)

3f[H,iax)-Y,iax)2

ix'J,iax)7

x-H,iax)K,ittx)

x'Kyiax)

Page 127: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

9. Elliptic Integrale and Legendre Functione 127

Ngiy) 2Nfix)

402

418

411

417

272

274

361

370

367

(-l)»(2n+l)!(a*+j/*)-"-'Q2„Ci/(a*+i/*)-*] N= o-*"-^2*''(n!)S n= 0 ,1 ,2 , . . .

.{Ol5C(l+4o*i/-*)»]}* ΛΓ=Κ2απ ) - ίΓ*α )Γα+.)Γα- . ) ,

-Ην<ϊ

r(H»')|T(i-v)]-KWy)»e*" .OIliC(l+4aVi/*)i]?l5[(l+4oVj/*)»]

Ar=M§ )*r(i)r{i+.) ud )Γ(|+.) v>-i

Tii+v) m-l-") rV^"(4a*+2/*)-i .(W)»OLi[(l+4aVi/*)*] .OIi;C(l+4aVj/*)»]

N= α - ΐ ( 2 τ α ) - » Ρ ( | ) Γ ( | + . ) Γ ( | - ν ) , -i<v<i

[br 8Ϊη(2οτ) ^'P2a_i[cosh(^i,/6) ] JV=[6irsm(2air)]-S 0 < o < i

2*-«-<'α-ΜΓ (26) Γ (2c) Γ (H-c) . Csmh(ij//a) ]»-^iJ!l.'lf Ccosh(iy/a) ]

N= 2i-»-Mo-ir(26) r(2c) r(6+c)

• [T ( i+6+c ) r '

2^(o+l)i''(o+cosh2/)-*-*' ' •^iC(l+cosh2/)i(a+ coshi/)-*]

ΛΓ=2-"-*(1+α)-Κβ |::(Η |α)-*], - 1 < α < 1 , μ < 1

(α*- 1 ) -»0_,_ι [1+2(ο*-1)- · cosh*(|y) ] Ν= (α«- 1)-*0_,_4[1+2(ο»- 1)- ΐ ] ,

α > 1 , μ < |

(l-a*)-iO^_jC2(l-a«)-i cosh*(iy)-l] iV= ( 1 - α * ) - » 0 _ ^ [ ( 1 + α * ) ( Ι - α * ) - ! ] ,

α < 1 , μ < §

x*»+>ii:o(ac)

x-i[i:,(ax)J

x-iI,iax)K,iax)

^lK.iax)J

τia+ibx)Ti^-a+^L·) p

I Tib+iax)Tio+iax) |*

sechx Plj+,vc(o)

I η^-μ+ίχ) ρ

| Γ ( ^ - μ + ί τ ) Ρ •CPiLi+«(o)T

Page 128: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

128 Table ΙΑ: Even Functions

2Nfix)

363

275

365

135

136

160

323

340

206

249

ΛΓ=ΐΓ*2"+Κΐ-α*)-10_Μ_}[(1-α*)-»], α < 1 , μ < §

|(27r)»2*-«c-»[r(6-o) sinh(|j,/c) •e-<'(«-*^'02;^|Ccosh(Wc) ]

N= 2**-^*c-T(2a) [Γ (26 -1 ) · 5 ( & - α - ϋ ) , 6 - a > i

2-(rt-i(i-o2)i»^r(2M) (coshy-a)-*""* .^.>(i-rtOjl |[cosh(| j /) coshj/-^a)-i]

ΛΓ=2ΐ- ' '(1+ο)*'^(1-Λ)-»Γ(2μ)

- l < a < l , M>0

2-»xP_i+„(cosS) ΛΓ=2ίΧ{8Ϊη^δ), δ<7Γ

N= (k)i(sin5)'r(H-i)PIi[(cosa), δ<π , » - > - §

ir2- i{P_H.(cos5)[-7- log4 -^ (H2/ )+ log(sm5)] -Q_j - , (cos5)}

Ar=ir2^C27r-"X(sini5) log(sm5) -XCcos^S)], δ<7Γ

|a-» cos(iin/)0-4+}j(p)0-+4v(p) JV=2-*o- i ( rM)-* i^ [ ( ip+ i ) -^ ] p = ( l + a - * ) »

2-*a-P_n.<„(cosi>) sech(iry) iV=2*i:(smi&), 6<ir

2-*T*P_H<,(a)[sech(7ri/)]* JV=2»irJ!r[(i-io)»], o < l

r( i - iM+|u) p •p:ii+.-.(o)

r(a+tcz)r(6+ica;) |-*

s e c h M I Γ{μ+ίχ) |*

(cosx—cos5)"*, χ < δ 0, χ > δ

(cosx—cosS)*^, Χ < δ 0, χ > δ

(cosx— •log(cosx—

0, , χ < δ

χ > δ

(l+a^cos^x)-* • K[a cosx (1+ cos^x)"^], x < §ir

0, x>hr

^,( l+2a-2cos2x) , x<hr 0, χ > | π

(coshx+cos5)~*

(coshx—a)"*

•(cosha>4-l)*+(coshx-a)i' •log

L(coshx+l)*- (coshx-a)*J

Page 129: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

9. Elliptic Integrals and Legendre Functions 129

Ngiy) 2Nfix)

329

214

349

332

270

342

209

207

216

i(Wa)*r(Hiij/)ra-iiy) .P^+.-,C(l-a-^)»]

JV=K2ira)-iCra)TX{Ö-Kl-Oii}

ihr)*iTip) T-'isinb)i-'Tip+iy)Tiv-iy) -Ρίγ+φοώ)

N= (ΐτ)*Γ(ν) (8Ϊη6)ί-Ρ»_1'(οο8δ), 6<ΐΓ, i '>0

2'-iiir/a)iTih+hy+hiy)Tih+h-¥y) •Pli+Ud-a-»)*]

ΛΓ=2-ί( ΐΓ/α)ί[Τ(Η^.)Τ •p=r*c(i-«"'):, «>i. »'>-i

^ " * ( τ / α ) 1 sechiiry)TiH¥y)Til-¥y) •[p_}+iv(8)+p-»+i»(-8):

+ ί : [ 2 - ΐ ( ι + 8 ) ] } 8 = (1 -0 -* )» , 0 > 1

(Wc)*[T(«;)rcosh(W) . I Tiv+iy) Kl-t?)i-»'P».-A,„(c-i)

ΛΓ= (^c)»r(«') (l-c*)»-»'Pl-j '(c-0, 1

-2 '-i(2ojr)-» sm(in') Ccosh(irj/)-cos(in')]-i

•TihhhH-hiy)nh+b-¥y) '{PZ\+liil-a-')il +PZ\+ii-il-a-^2]

ΛΓ=-2'- ΐ (2ατ)-» cot ( i i rv) |T(H^« ' )T .{Pir*[(l-a-*)»] +pir*[-(i-«-^)»]),

o>l, - l < i ' < 0 2-»x'!ß_j+,„(cosho) ΛΓ= 2» sech(io) KCtanhdo) ]

2-»ir'!ß_4+,v(cosh6) sech(ir3/) N= 2» 8ech(§6) Kltanhi^b) ]

(^)»r(l-.)(smha)»-15'_-j*+,,(cosho) ΛΓ= (smho)-0- , (c t i iho) , v< 1

( l + o coshx)-»

(cos6+coshx)"

£X,ia coshx)

( 1 + 0 coshx)-»

(ocoshx—1\» o c o s h x + 1 / .

(l+c*smh*x)-»' • coshfi/ arctan (c sinhx) ]

^ , ( 0 coshx)

(cosha—coshx)-», χ < α Ο, x>a

(coshx+cosh6)-»

(cosho—coshx)-', x < o 0, x > o

Page 130: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

130 Table ΙΑ: Even Functione

Ngiy) 2Nfix)

213

208

210

215

348

244

245

246

326

•r(v+iy)r(^-t2/)^L-j;..,(cosh«) ΛΓ= (smha)-O ,^ i(ctnha) , v> 0

2-»K_j+<v(cos6)+Q_i_-,(cos&) ] iV=2iÄ(cosi&), b<T

2-*[0}+.v(cosho) +O}_„(cosha) ] Ar=2»8ech(ia)Ä:[sech(ia)]

i2n)-iTil-v) (sinha)»-e-<'('-*> . [Qll».,.(cosha)+OLV+.-.(cosha) ]

N= (|ir)-»r(l->') (sinha)»-' .e-.>(M)Ql-»(cosha), p< 1

(απ)-> R^[0ii; | ,„(p)0'4Vi,„(p): N=-hTCSciin>)[3.iap)J, -l<v<Q V= ( l+a-*)»

2-»ir sßcHxy) {P_}+.v(cos5) [ - 7 - I o g 4

+iog(s inS) -Uih+iy)-mh-iy) ] +iO-H-iv(cos6)+^Ö_^,(cos5)}

iV=2-»irDog(sin5)2ir->X(sin^6)+ii(cosi3):, δ<1Γ

2-»ir sech(iry) {^_i+i„( cosha) [log(8inho) - 7 - l o g 4 - i ^ ( H i 2 / ) - # ( i - i i / ) ] +iO-}+i»(cosha)+|0_}-<i(cosha))

N= 2^x|sech(io)ii;:[sech(|a) ] + (2/ir) log(sinha) sech(^a) •Z[tanh(ia)]}

— 2-»7Γ sech(7rj/) {^_j+i^(cosha) Pog(sinha) - 7 - i o g 4 - | i A ( i + % ) - h 4 ' i h - i y ) ] —|0_j+,„(cosha) —iCl-j_i„(cosha)}

iV=2-»5r{2x-ilog(sinha) sech(ia) •K[tanh( |o)]-sech(io)K[sech(ia)]},

cosho<2

ΐπ2 8βοΗ(ίπ2/){Ρ_Η-^·,[(1-α2)*]Ρ Ν={Κ[_2ή{1-{1-α^)ψ-]]\ α < 1

(cosha+coshx)""

(coshx—cos6)"*

0, x < a (coshx— cosha) x > α

(coshx— c o s h a ) x > α 0, χ < α

Ο, sinhx<a"^ ^ , (2a2sinh2x- l ) , sinhx>a-i

(coshx+coso)"* •log(coshx+cos^)

(coshx+cosha)"* • log (coshx+ cosha)

— (cosha—coshx)"* •log (cosha—coshx), x < a

0, x>a

sechx jK;(a sechx)

Page 131: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

9. Elliptic Integrale and Legendre Functione 131

Ngiy) 2Nfix)

356

330

327

355

346

331

354

345

Ja-^r I r(I+H-ity) Ρ {PIi;t , , [ ( l -a-*)i]}* N=\a-hr[Til+v)J

•{ΡΐΓ*[(1-α-»)»]}«, α>1, v>-l

•p^i,Zii-<r^)iy>^yi- (1-α-*)»: ΛΓ=α-ΐίΓ{0-Μΐ-α-')»]*}

• ·Κ{ [ΗΙ (1 -α -^ )* ϊ ) , α>1

iT*(sechiTi/)»P_M..[(l-a*)»] .P_ l^ . ,C- ( l -a* )» ]

i V = X { 2 - i [ l - ( l - a * ) » J ) 'K{2rXl+ii-an, « < 1

Λ Γ = i { i O , C α ( l + α - ä ) * ] ) ^ . ' > - l

K p * - l ) - * t a n M

'{i\Tii+v+¥y)m\+l,ip)7 -i\Ti-H-¥y)\W^Aiiy(p)J]

• { [ Q v ( p ( p ^ - i ) ^ ) J -CO- .^ ICPCP ' - I ) -* )?} , - I < . < O

P > 1

ia-%sech(iirj/)$_}+i.v(p) •[Q_Hi.»(p)+CL+4,„(p)]

JV= 2<rKin-i)-^Kiip- ι)Κίή-ι)-*1 .Z[2»(H-1)-*1 P = ( l + a - ' ) »

- i x [ a s m M r P = i ; t . v ( s ) • ReKL+iVj, ,(8):

N= - i x [ a sin(xv) T'P-fHs) Q'^Hs) s = ( l - o - 2 ) i , a > l , v > - l

|Cacos(xv):-MP'-V+j.-„(8) M Q I i+|t»(s)]

-pij4,,(e) R«KLU».V(«):!

-pir*woiY«} « = ( 1 - 0 - " ) » , a>l, -l<v<0

O,(2o''cosh'a;-1)

( l+o 's inh^)-* 'KZil+aHmhh)-*2

aechxKlil-a'aechh)*']

£l,il+2aHosh?x)

^ , { l + [ 2 / ( p 2 - l ) ] c o s h ^ }

(l+a^cosh'^)-* 'KZa cosha;(l+aä cosh««)"»]

Q,(l+2o2sinh«a;)

^ , ( l + 2 o ' ' s m h 2 x )

Page 132: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

132 Table lAs Even Functione

Ngiy) 2Nfix)

328

347

344

353

N=ii+z)-HKah+h)-*l} z= ( 1 + 0 - * ) *

A [ a c o s h ( W ) r ' . {PIj ; | ,»Rere '4Vj ,„(s ) ] +PL+,Vi.v(«) ΜΟ=ίΐ|.ν(β)]}

ΛΓ=ΚΐΡ=Γ*(«)ο-Ϋ(«) +P'_+j»(s)Qir*(s)l

s=(l-o-'')*, o>l , - 1 < » ' < 0

\ sech(^y) • ReiPr*''"« COi'nO+Ql'i-xCr) ]1

r = ( l - a 2 ) * , o<l , - 1 < ) ' < 0 ^r=iP.(r)[QXr)+Q-^i(r)]

TT C8ch(^xj/) • CPi''''(r)Qr*'''('-) -Pr*'''(r)Qi*''(r) ]

iV=Mi'.( '-)T+KQ.WT r=(l-o«)*, a<l , i ' > - l

0, siiilu;<o-' cschx K\_i\-a-' csch^x)*], sinhx> a"'

^,(l+2o''sinh2x)

0,( l+2a2sinh«x)

10. Bessel F u n c t i o n s

Ngiy) 2ΛΓ/(χ)

24 hrJoiay) (α2-χ2)-ί , χ<α 0, x>a

124 ^ir'iWoiay)+8iiay)2 N=^a

0,

—log "(r+a)*+(x-a)*' L 2x* J

x<a

, x>a

50 2 ' -wr(H-^)r' '^(ay) iV=Vv*r(H^)|T(l+,.)]-i. . . > - i

(α''-r')'-*, χ<α 0, x>a

52 (2α)'χ*Γ(Η^)2/-"'Λ(θ2/) cos(ai/) ΛΓ=α^'π*Γ(Η»'):υ(1+ΐ')]-»,

(2οχ-0,

X * ) - * , x<a

x>a

Page 133: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

10. Beseel Functions 133

Ngiy) 2Nfix)

56

43

57

119

121

319

26

321

-hi2a)-'inTih-v)y'Y,iay) iV=ia -^^rWr ( i -v) , 0 < i ' < ^

§(2α ) -ΊΓίΓ(^- . ) •fiJyiay) s\niay) — Y,iay) cos(ay)]

N=h-''ir-iTiv)Ti^-v), P < k

- § ( 2 α ) - ' τ * Γ ( | - ν ) 'y'U.iay) sva.iay)+Y,iay) cos(oy)]

N=ha-^i^Tiv)Ti\-v), v<\

[ 7 + log(22//a) y^iay)-hnYoiay)} iV=irlog(2/o), o < l

—K emi\y)[^7cYf>i\y) - ( 7 + l o g 4 2 / ) / , ( ^ ) ]

iV=4irlog2

\a-^[Joihay)J

^(W)»C^-l(W)T ]ν=τ( | τ )* [Γ( | ) ] -^

^Λβί / (α+6)Μ2/ (α -6 ) :

55

335

ΛΓ= 2«'ir(x/6)i[r(i+.) r ( i - ν )

iV=acosM(2H - l ) -» , - | < ' ' < i

i7?-a')-'-i, x>a 0, a:<o

(a:2+2aa;)-—i

0, x<2a (r ' -2aa!)- ' -», χ>2α

- ( o ' ' - r ' ) - i l o g ( o ' ' - x ' ) , x<a 0, x > o

- [ x ( l - x ) ] - » l o g [ x ( l - a ; ) l x < l 0, a;>l

ί [ [ (1-α-^χ2)* : , χ < α Ο, x>a

χ-*(α2-χ«)-», χ < ο Ο, a;>a

ο, χ>α

x-^iV'-7?)-*[lih+xy+iib-xyj' -\-lib^x)*-iih-xyj'], x<b

Ο, x>b

P,i2i^/a'-\), x<a 0, x>a

Page 134: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

134 Table ΙΑ: Even Functions

Ng{y) 2Nf(x)

30

336

59

505

496

375

92

433

141

143

139

-T{hryW-iihy)Y-iihy) iV=7r(ix)»Cr(f)r

hr{abKJ^{byy¥,+i{ay) -J^iay)Y^i{by)2

N= ( α δ ) Η 2 ί ' + 1 ) - ΐ ( α / 6 ) ' ^ -a>b

- iaV(§ir i / )§ •iJiy-i{hciy)Y-i.^i{hay) +J^^{lay)Yi^ihay)2

N={2r)-ia-iril-iv)T{\+hv),

-K«'<i hra-'y{ Uiiif/a) J+ iY^iW/a) 7] Λ Γ = Κ 2 α ) - ί Γ ( | ) [ Γ ( | ) ] - '

hra-'y{ i J i i m J- [F_i(ij/»/o) y\ iV=K2a)-*r(i)Cr(|)r

-h-KhryW-My'/a) Yi/,{^f/a) iV=2-«/V-»r(i)[r(i)]->

iir(a/y)HJi{W/y) siniW/y+h) -YiiW/y) coaiW/in-W)}

iV=2 (x /a) i

—IxseciflT) (π/ί/)*

+ c o s ( § « ' - i x - i a V t / ) r , ( i a V y ) ]

Wo[a(62+t/ ')*] ΛΓ=|π/ο(οί>), αδ<|ΐΓ

xcos(i62/)/oß&(aH-2/^)»] JV=x/o(ia6), α6<π

ia6ir(6H-i/=)-*/i[a(6H-^»] ΛΓ=^αΐΓ/ι(α6), a6<ir

Ο, x<a x-iix'-a')-^, x>a

φ,[(α='+ο2-χ2)/2οδ], x<a-b 0, x>a-b

0, x<a x-^ix^-a^-i

'{[x+ix'-a^ij + \:x-ix'-a^ij},

Ho(ar')-Fo(aar')

χ- ' exp (—ox*)

X-1Ä:2,(OX*)

(θ2-χ2)-»0Ο8[&(θ«-χί)»], X < 0 0, x > o

x-*(6-x)- i •cos[ox*(6—x)*], x < 6

0, x > 6

amlbia^-x'y], a;<o 0, x > o

Page 135: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

10. Beseel Functione 135

Ng{y) 2Nfix)

378 I {hra)K(>by{l^+f)-*'-*J,+iia{l^+m ab<T,,i

382 I (Ta)»( |a5) 'cos(W) • ( δ » + Λ - » ' - * / ^ β α ( 6 ^ ί / ' ) » ]

ΛΓ= (^a ) ' (Wi>)*^K+}( ia6) , - 1 , α6<2τ,,ι

377 \hrJiM)Jiv{zi)

N=hriMhab)J, i'>-l, ah<r,,i 381 |ircos(|oy)/j,( |2i)/j ,(i22)

N=T\:Ji,ilab)J, p>-l, ο6<2τΜ

457 liir*sec(|w)[J,,(2i)J},(22)

436 Wy{zi)Mzi) N=hTiU^ab)y, p>-h

2

437

389

390

τ οο8(|α2/)Λ(2ι/2)Λ(22/2) N=TU,i\ab)J,

2

τ / } . ^ ( | β ) / } Η - Ι / ( | θ )

IT cos(iir2/) J } , ^ ( i a ) J},^^^(|a)

•Jyib{a'-c^yi, x<a 0, i > o

'J,[b{ax-3?y2, x<a 0, x>a

(α2-χ»)-»Λ[6(α«-χ«)*:, x<a 0, x>o

(ox-x*)-i •ΛΕδίοχ-χ")*], x<a

0, a;>o

0, x<o {x^-a^-i

{a'-x^-i -Ι,Μα'-χψ^, x<a

0, x>a

{ax-x")-* 'hAiHax-mi, x>a

0, x<a

Jy{a cos^x), x<ir 0, χ>τ

Jp{a sinx), x<ir 0, x>v

Page 136: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

136 Table ΙΑ: Even Functions

Ngiy) 2Nfix)

392

503

502

391

478

396

(ia)/i(^n.j,) i^a) +JHy+i-v) (i«)«^i(H-i+i/) (i^) ]

N= hrav-'{ iJ^.-^iia) J+ [/^^(ία) J}, v>0, a<r,,i

\ir sech(7r2/) {Uiyia) J+lYiyia) J] N=\k{[JMJ+IYMJ]

hir sech(7r2/) {Uiyia) ] ^ [J_-,(a) J] iV=π[Jo(α)T

\irav~^ Qiosi^iry)

(iö)«A(H-i+i/) ] N=\^av-'\lJ^^iha)J

+ [^iv+i(|a)]2}, υ>0, α < Τ Μ

|7Γ2{Λ·^_,(α)Λ·ϊ,+ν(α) + Yiy-M y»v^,(a)+tan(7n/) • iy+via) Yiy-vio) -J iy-via) Yiy^vio) ]}

iV=ix2sec(7iT)

•{[Λ(α)]Μ-[η(α)]}, - K ^ < i

*π[/,,(^ΐ) Yiyiz2) -Jiyiz2) YiyiZl) ] Yoiz2)-Joiz2) Fo(2l)],

α<6<το,ι 2 i = i [ ( H - a ) * ± ( 6 - a ) i ]

sec(ix) •.7„(a cos|x), χ<7Γ

0, Χ>7Γ

Ηο(2α cosh^x) - 7 ο ( 2 α coshlx)

Ho (2α cosh^x)

cscx •Jviasinx), χ < τ γ

0, Χ>7Γ

K2vi2a sinhjx)

J o [ ( α coshx) coshx< 6/a 0, coshx>6/a

11. Modified Besse l F u n c t i o n s

Ng{y) 2iV/(x)

35 2-1α-'τβ-^''/ο(^α2/)

42 xi(2a)- ' [ r(H-i)]-ViC,(a2/) (a'+rt^) - *

iV=ia -Mr (v ) |T (H' ' )rS ' ' >0

Page 137: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beseel Functions 137

Ngiy) 2Nfix)

29

339

46

426

74

422

497

75

431

438

443

2-*o-* smh(ioj/) Kii^ay) Ν=ΐ-*α-^

(οί>)ίπ7^(ΜΖ^(α3/) Ν=α-Ί/ΐΓ(2ν+1)-\ v>-h a>b

N= α'(2α/π)-^τα-^)ίΤ{1-^)ΐΓ\ "<*

(^x)»exp(-i/»/16)7o(i/^/16) N^ihr)*

hri2a/y)-i exp(-Wa)I-i{Wa) ΛΓ=2-*ο-νΐΤ(|)Τ-^

hra-'ymy'/a) UiiWa)+I-i(W/a) ] ΛΓ=Κ2α)-*Ρ(1)

2-i{2ira)-^iKiiW/a)J Ν=^π-Κ2α)-*[Τα)7

l{2a/y)-i expi-^a) U-iiWa) -hiW/a)!

ΛΓ=2-ία-1[Γ( |)]- '

-Ta-'yYili2ay)i2Kiii2ay)i2

ihra)Kob)'ilr'-v')-i^IMt^-m y<b

ikira)Kab)'iy'-l^)-i'-iJMy'-m y>b

N= i^na/b) io'7,+i(o6), v>-l

iira)i{hab)'cosi^ay) 'ii^-y')-^iHiihif^-m y<b .iy'-i^)-*'-^J.+iiW-m, y>b

N=iira/b)Kh)'I,+iihab), v>-l

x-iia^-x")-* .[a^f-(a^x^)ir*

0, [ ( : ι«+αΗ-6 ' ) /2οδ:

'ix+{a^c^)ij

expi-x')W)

x~* expi—ax")

Koiax")

Ioiaa?)-Uiax?)

x* exp (—ox*)

x-'Koiax-η

•7 , [6 (a ' - r ' )» ] , x<a 0, x>a

iax-x")^' •I,\T}iax-x")i2, x<a

0, x>a

Page 138: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

138 Table ΙΑ: Even Functione

Ngiy) 2Nfix)

88

298

464

449

100

448

501

514

455

500

b'{ia+iy)-i'Kl2bia+iy)i2 + ia-iy)-i'Kl2bia-iy)i2}

N=2b'a-i'K,i2aib)

2aia^-y")-'K£bia^-m N'=2a-^Koiab)

Ti4a'+y')-iK„ibi4a^-y")i2 ΛΓ=§χα-'Χ2,(2αί>)

N=ii2Ta/b)icr'K.^iab)

2a' coaiv arctan(j//6) ] KK [ O ( 6 H - 2 / ' ) * ] N=2a'Kyiab)

^Kyizi)Kyiz2) N=^iK,iiab)J 2ι=Κ(δΗ-2/^)»±2/:

2

hiz2)Kcizi) N=hihab)-Koihab)

iwUzi)Kyizi) N=hrLihob)K,iiab)

2

Ibp-^ZK^MKMyizt) -Ki-i,iz,)Ki^riz,):\

iV=j6.-> {[XHiXioft) J - iKi-i,ihab) J}

2

A^=^r{[/o(l«6)T+Cro(iao)T}

x""' exp i—ax—¥/x)

-e—Ei{-aC(i^fx»)*-a;]}

+ iia'+x^i-xj} exp[-6(a^x*)J:

·Χ2,[6(α^χ^)*]

(αΗ-χ*)-*

-Lo[6(aH-x')»:}

(aM-x')-*{ksecM

+iso.2,p6(aH-x*)*]}

(αΗ-χ*)-^ .ί:,[6(αΗ-χ^)*]

(α^χ*)-» .{Ηο[6(α«+χ2)*] -7ο[δ(α'+χ*)*]}

Page 139: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

11. Modified Beseel Functions 139

Ngiy) 2Nfix)

m

m 468

467

472

471

475

474

287

251

222

^Κο[α (2 coshj/)*] N=-h^Koi^a)

firK2,(2o cosh|j/) N=^irK2,i2a)

irl,-yia)ly+yia) iV=ir[/v(a)T, «'>-*

1Γ cos(|irj/) 1,-iyia) /H4»(«) ΛΓ=π[Λ(α)?, ^ > - |

4 i r a , . - ' [ 7 ^ ( a ) 7 ^ ( o ) -JHi-»(o)J^H+f»(e)]

ΛΓ=^αρ-ΐ{[ /Μ(«)Τ-[/^(«)] '} .

^β*-! cos(|irj/) [/..4_}„(a)/._i+}v(e) - • i p + H » ( a ) J ^ H + * ( « ) ]

N=hrm>-m^ia)J+U,^ia)y}, u>0

hr" csc(2in') [Ι_,^(α)7-Η^(α) -I^ia)I,+yia)2

N=W csc(2xv) {[/_,(«) J- ίΐΛα) J], - K ' ' < l

Ιττ CSC(2IIT) cos(iirj/)C/_,^(o)/_H4v(a) -7^(α )7 ,+4 , (α ) ] ,

iV=|ir* csc(2x,') {C7_,(o) J- iUa) J]

hr exp(—|a*) sech(§irj/) •UiyiW)+I-iviW)'2

N=hrexpi-W)IoiW)

Kiyia) N=Koia)

7iivC(a*-6*)*] cosCi/ arctan(6/a) ] JV=ZoC(a*-6')*:, a>b

KUo^"'*) 'KUae-'"*)

K,+ixia) Κ,-ixia)

72,(2o cosfx), x<ir 0, x>ir

72,(2a sinx), χ<π 0, x>ir

secCfx) •72,(2acosfx), x<ir

0, x>ir

cscx •72»(2osinx), x<ir

0, x>ir

7ί2,(2α cos^x), χ<π 0, χ > π

ίΓ2»(2α sinx), x<ir Ο, χ>ΐΓ

— i exp[— (α coshx)*] • Erf (io coshx)

exp (—ocoshx)

exp (—ocoshx) cosh (6 sinhx)

Page 140: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

140 Table lA: Even Functione

Ngiy) 2Nfix)

286 ^expiW)secHhry)KiiyiW) N=iexpiW)KoiW)

exp[(a cosha;)*] •Erfc (α cosha;)

504 sechiTy) Kiyia) [7.ν(α)+/_<,(α) ] N=2Ioia)Koia)

/o(2o coshja;) — Lo(2ocoshiz)

484 Kiyiae<'l')Kiyiae-"l*) N=Koiai"l*)Koiae-"l*)

Χο[α(2 cosha;)*]

487 Kiyia)Kiyib) N=Koia)Koib)

Χο[(αΗ-ί>Μ-2ο6 cosha;)»]

479 K^iyia)K,-iyia) N=iK,ia)J

Ki,i2a coshfx)

480 ^av-^lKi^y+iyia) K^p-iyia) —Ki-,+iyia) Ki-,-^yia) ]

N=>-M [Ä4+.(«) Ί - LKi-M J)

sech(5x) •X2»(2acosh5x)

488 Ki^iyia)Ki^yib) + Ki^iyib)Ki^yia)

N=2Ki,ia)Ki,ib)

{[(a+6e-)(H-ae')-']»' +[(Η-αβ')(α+6β-)-ΐ]*'} •K,[(oH-6'+2o6 coshx)*]

12. F u n c t i o n s Re la ted t o Bessel F u n c t i o n s

Ngiy) 2ΛΓ/(χ)

174 hry-'T^oiy) N=l

arccosx, x < 1 0, x > l

173 iir2/-'[sin2/-Ho(y)] N=^-l

arcsinx, x < 1 0, x > l

25 a[l- i irHi(aj/)] N=a

xia"-x^)-*, x<a 0, x>a

58 ^o-^-V ββοίπν) {l-^airy[Jyiay)'B,^iiay) -H,(a?/)/,^i(oj/)])

0, x<a x-Hx^-a*) -*, x > o

Page 141: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

12· Functione Related to Beseel Functions 141

Ngiy) 2Nfix)

51 .Η^ι(οί,)3

xia'-χ')·^, x<a 0, x>a

112 h^Uoiay)-Loiay)2 (aH-x*)-» .logCaA+(l+ayx*)»]

113 hrr'ii+Uiay)-hiay)2 N=a

430 2-Va- ' [7o(i3 /yo)-L , ( i j /ya)] x{K^ia^)J

423 hra-Khry)iU-iiy'/a)-L^im2 JV=r l (o /T ) -» |T ( f ) r

x^Ktiax")

424 iT'iMKl-iilv'M-L-iiWa)! JV=2-*/Vo-»/tr(i)]-*

^K^ia^)

465 Wy-'öioiW/y)-YoiW/y)l N^hra-'

Kolaiix)*-]

461

JV= iiräo-»CHo(2afc) - 7ο(2αί>) ]

Ko[alx+i^-m} •Ko[alx-ix"-m\

459 hriia^f)-* • {7o[6(4a*+2/«)i]-Lo[6(4aH-^*D}

N= |ΐΓα-ΐ7ο(2ο6) - Lo(2a&) ]

7„{a[(6H-x^)»-x]} .7ίο{α[(6*+χ*)Η-χ]}

398 Ho(2a coshiy) — ΙΌ(2α cosh|j/) ΛΓ=Ηο(2ο)-7ο(2α)

sech(irx)

164 §xCJv(«)+J-,,(a)] N=xJoia), a<hr

cos(asiiix), Χ < 7 Γ

0, x>ir

163 iirsec(§Tj/)CJ»+J_.(o)] N=hrJoia), a<hr

cos(acosa;), χ < | π 0,

Page 142: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

142 Table ΙΑ: Even Functions

Ngiy) 2Nfix)

161

162

259

260

258

257

526

333

519

466

462

§^ctn(^2/)CJ„(a)-J_.(o)] iV=irHo(a), ο < π

iircsc(§iri,)[J,(a)-J_,(a)] iV=iirHo(a), o<ir

hrayiia)+J-yiia)l N=Tloia)

h- sech(iirj/) Uyiia)+J-yiia) 1 ΛΓ=§τ/ο(α)

- Jtx ctn(iiri/) CJ,(MI) -J-yiia) ] N=irUia)

-\iw csc(iiri/) CJV(MI) - J-i,(ia) ] iV=^Lo(a)

i T i [ a r ( - y ) ] - i s e c M

Λ Γ = - § π » α - ΐ ( Η - * ) Γ ( - ν ) ] - ι , ^ < - *

2 ^ ν ί { Γ Ο ( 3 - Μ + . ) ] Γ Ο ( 2 - Μ - . ' ) ] 1 - ' • (μ+μ) (μ-»- -1 ) y^S-i^,,^iy)

i v = 2 " - Μ { Γ β ( 3 - μ + Γ ) : Γ [ Κ 2 - μ - » ' )

^ Γ ί α - ί Γ ( 2 + μ ) [ Γ ( | - μ ) ^ •2/Ä_M-j,j(i!^^a)

ΛΓ= - § 1 Γ » 0 - 1 0 0 8 ( ^ μ ) Γ ( - 1 - μ ) . Γ ( 2 + μ ) [ Γ ( * - μ ) ] - ' , - 2 < μ < 0

iV=iira-2sec(i7n'), - 1 < » ' < 1

(4aH-2/*)-»iiir sec(T»')72,C&(4aM-2/*)»] +tSo,2,[i6(4a^2/*)»]}

)V= a- i[ i ir 8βο(ΐΓ»')/2κ(2α6) +^Ϊ8ο ,2/ί2α6):

8ίη(α sinx), x<ir Ο, χ>τ

sin(ocosx), x<hr Ο, x>iir

cosh(osinx), x<ir 0, x>v

cosh(acosx), x<iir 0, χ > ϊ τ

8inh(asina;), x<ir 0, x>ir

sinh (a cosx), x< Jir 0, x > ^

D,Cax(i)i]ACax(-i)»]

( l -x*)- i ' 'P ; (x) , x < l 0, x > l

xSμ,^ia3?)

Klaiix)i2K,\:ai-ix)*l

/ ,{a[(6*+x*)i-x]} .ί:,{α[(ο*+χ*)1+χ]}

Page 143: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

13. Parabolic Cylindrical Functione and Wbittaker Functions 143

Ngiy) 2Nfix)

463 ir(4o«+j/a)-iSo>[6(4a«+2/»)»] KAai^ix'-n N=hra-^So.i.i2ab) •KAaix-ix"-m}

250 So.iyia) = —t§ir csch(iri/) exp(—asinhx) . Uiyia) -J-iyia) -Jiyia)+J-iyia) ]

i V = i » [ H o ( a ) - F o ( a ) ]

513 i2a)-^mh-ß)T' (coshx)*/S^,j(a coshx) •Ti\-h-hiy)n^-hi^¥y) s,+i,iyia)

JV= ( 2 a ) - * 2 - ^ - i | T ( i - M ) ] - i [ T ( i - | M ) r •S^+i,o(a), M < i

13. Parabol ic Cyl indrical F u n c t i o n s a n d W b i t t a k e r F u n c t i o n s

Ngiy) 2Nfix)

506

507

80

525

256

(2τα) - ίΓ (Η ' ' ) •D.^Zyi2(d)i-]D-M-^y2

ΛΓ=|(2α)-»Γ (Η^.)[Τ( |+ | . ) ] ->, ' ' > - ^

(2Ta)-»{r(i- .) i)^[y(2at)*] . Ι>^[2 / ( -2αΟ*Ή- ο ο β Μ Γ ί Η . - ) .i)_,^C2/(2oi)i]i)_MlJ/(-2aO*3}

JV=i (2a ) - i { r ( i - i v ) [ r ( l - i v ) ] - i + c o s M r ( H § v ) [ r ( H i v ) r ' ,

- K » ' < i

K26)-»'exp[i(a»-t/)/6]r(.) • {exp(-itayA)ö-C(2&)-*(a-t2/) ] +expi\iay/b)D.,Zi2b)-iia+iy) 2}

N= (26)-»' exp(|ay6)r(»')Z)_,Ca(26)il i '>0

τί2ί' e x p ( - a * ) D j ^ ( 2 a ) D } ^ „ ( 2 a ) iV=ir»2i'exp(-a*)Cr>},^(2o)]*, ; '<1

2iR«{r( |+%)D_,_„C(2«i)i] .2 )_4_<, [ ( -2ώ )1]}

iV=a(k) '{C^l(ia)>fCri(§a)T}

csc(in/) . α ( α χ 2 ) - Λ ( α χ 2 ) ]

x""^ exp (—αχ— 6x^)

(secx)**^ exp(—a^ secx) •D , [2a( l+secx)*], x<iir

0, χ > | π

(cschx)* exp(—α cschx)

Page 144: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

144 Table ΙΑ: Even Functione

Ngiy) 2Nfix)

289

44

428

421

527

528

iri sech(ir3/)D_j+.v(2*a)I>-i_<»(2»o) N=i2T)-iaiKiiW)J

2-»o-T i\-hv) r*Wiy.iiay) M-i,,-iiay) iV=(2aA)-ir(i-J.)|T(f-|.)r,

Ι Γ 2 - * Τ ( | - 2 . ) [ Γ (Η . ) ] - Ι .r-'exp(j/yi6)Tr,,._},(i/y8)

JV=2^cos(irv)r(v)r(i-2i '), 0<ν<\

2-*'j/-i exp ( - i / y i6 ) ir_4„i,(2/y8) iV=2'-irW[r(i+2v)J-\ P>0

2n^a-'[Ti-v) T^Ti-li^hy)

•Ti-h-¥y)Wiy^.Hyi2a") N=2^a-hiTi-hv)

•Cr( i- | . )rWi^.o(2a*), p<0

2i-i7ria-W,,..j,(2a*) iV=2»'-»ir»a-W},.o(2o*), . '<1

(sechs;)» exp(o* sechr) •Erfc[o(H-sechs)»]

χ-'-iia^-x")-* •ia+ia^-x")ij

x-''expix")K,ix")

a;-*'exp(-x*)/,(x*)

exp[(o sinhr)*] •Z>,(2a coshx)

exp[— (o sinhx)*] •D,(2o coshx)

Page 145: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

T A B L E I I A

FUNCTIONS VANISHING IDENTICALLY FOR NEGATIVE VALUES OF THE ARGUMENT

Defini t ion

Take giy) from the inverse (Table I) before (pp. 105-144) and obtain hiy) under the same number from Table I I on pp. 74-96.

145

Page 146: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

TABLE IIIA

FUNCTIONS NOT BELONGING TO EITHER OF THESE CLASSES

Defini t ion

This table contains the inverse transforms of Table I I I from pp. 97-102. Corresponding pairs of formulas have the same number.

146

Page 147: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Functione Not Belonging to Either of These Oasses 147

NGiy) Nfix)

2 η

n!(ii/)-"-'-e-*«' Σ n!&»(tj,)"^-yw! •n-O

n = 0 , l , 2 , . . . . ΛΓ=ί.»+ΐ(η+1)-ι

χ", 0<x<b 0, otherwise

1 N=b-a

1, 0<a;<6 0, otherwise

19 ic- ij/)-i[e-(«-«')- e-*«^*)] JV=c-i(e-«-e-»')

e"", o<a;<6 0, otherwise

39 3-*o-i2Texp(-tiVi/ya«) JV=2ir3-*a-i

xiKiiax*)

24 ir(X+ij/)-i csc(irX+iirj/) JV=irX-icsc(TX), - 1 < λ < 0

e-^log(H-e-')

22 T ( 6 - C ) - I csc(irX+iir3/) (aX-i-Hv_ftx-i+<») iV=ir(6-a)- i csc(xX)(a'*-i-6^-i),

0 < λ < 2

ia+r')-'iin-^)-h-^

20 ιτα^-ι+'» csc(TX+iirt/) JV=iro''-icsc(irX), 0 < λ < 1

(a+e-*)-»e-^

21 ^g\-i+iv csc(wX+iirj/) • [loga—1Γ ctn(irX+iiri/) ]

iV=ira^-icac(TX)(logo-TctiMrX), 0<λ< 1

a;(o+e-')-ie-^

37 26-1 j cos[o(3/2_ j 2 ) » ] _ cosiay) +iy(y^-l^)-i sinCo(i/2-6«)»]-i sin(a2/)|

JV=46-isinh2(ia6)

[ ( α + χ ) ( α - χ ) - · ] » •Ji[6(o2-x»)»l | x | < o

0, ia;|>o

33 a-o-'e*»'" sech(iT3//o) sech (oaH-6)

28 ΛΓ=ο-'Γ(»'), ; '>0

e' 'expC—ae*)

34 2-ΐα-ΐ[Γ(ν)Τ-'β*»"' •rÖ^-Wa)r(iH-itV/a)

ΛΓ=2·^Ό->[Γ(|ν)ϊ |Τ(»')]- ' , i '<0

[sech(aa>+6)]'

Page 148: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

148 Table IIIA: Functione Not Belonging to Either of These Classes

NG(y) Nfix)

23

25

26

29

27

30

c^(or.^lc)e^B[cia+iy), v-cia+iy)2 ΛΓ= c^^^-'l'^Bi(w, V- ac), 0 < a< v/c

VK 080Η(π2/) Cr+- ( 1 - ^v) Λ ΛΓ=π2/6

- m csch(7ri/) [ψ(ϊ') - ψ ί ί ' - iy) ] Ν=ψ\ν), v>0

a-v-ivY(j^iy) {\l^{v+iy)-\oga2 iV=a-T(i /)[^W-loga], Ϊ '>0

aX-H-.V5(x+i2/, v-X-iy) • W - ^ ( ί ' - X- i i / )+loga]

N=a^-'Bi\ v-\)[ypiv) -iiv-\)+\oga2, a > l , ν > λ > 0

N = b - ^ ' i i ^ l ) - \ v > - l

( i y y ' ^ i e - ^ y i ^ l ^ ^ i b y ) N = i v + l ) - ' b ^ \ v > - l

TOT' csc(x^) [Tiv) r'e^^r(i/, Ν=τα~'' csc(7n/), 0 < i ' < l

πδ-" csc(7n/) [Γ{ν) y'Tiv, iby) N=Trb-^''csciTv), 0 < v < l

{iy)^'Vil-v,iby) Ν=(ν-1)-ψ-% v > l

iiy)'-h^yVil-v, iay) N=iv-l)-'a'-% P>1

Ti\+iy)n^+iy) ΛΓ=Γ(λ)ί (λ) , λ > 1

(H-(f)-Mog(l+e-)

( l+e-)-Mog(l+e*)

i/e*'*exp(—06*)

β-λ*(α+β-*)-'' •log(a+e-*)

x% 0<x<b 0, otherwise

( 6 - x ) ^ 0<x<b 0, otherwise

^ - " (α+χ) -^ 0<a;<oo 0, - o o < x < 0

x-'ix-b)% b<x<oo 0, otherwise

χ-% b<x<oo 0, - o o < a ; < 6

ia+x)-% 0<x<oo 0, - o o < r c < 0

[exp(e-^)-l]- ie-^^

Page 149: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Functione Not Belonging to Either of These Oasses 149

NGiy) Nfix)

31

38

16

36

40

17

18

10

11

15

14

(1_2ΐ-λ-<»)Γ(λ+ί2/)Γ(λ+ί2/) ΛΓ=(1-2ΐ-λ)Γ(λ){·(λ), λ > 0

r(H-iy)(a*-6»)-»"'

N=v-^Zar\-ia'-l^)ilr', a>b, v>0

^^^lTiu)rKh I y \/a)'-iK^ia \ y |) N=h'ia^-^Tiv-^)[Tiv)r\ v>i

2ib/a)*''K{yi2ab) N=2Koi2ab)

2ib/a)*ysediiiry)Kiyi2ab) N=2Koi2ab)

2Ki,-iyia) Kif+iyib) N=2Ki.ia)Ki,ib)

ia-'y-Hirv CSCCHT) -J,iiay) ] - 1 } ΛΓ=α·+ν(ι^-1)-ι, v>l

ταΤ· cscinv) CJ,(taj/) —J,iiay) ] N=v-hr', v>0

2-»6-»r(i')2)_2,C2(%)i] iV=(26A)-»rwcr(H'')rS «'>0

2'α-»Γ(ΐ') e^D-i,Zi2iay) *] ΛΓ=(ΙΓΑ)*Γ«[Τ(Η.)Γ' , ' ' >0

2·^- ΐ5( , ί , v)e*'ΊFliμ·, Η-μ; -2 ί ί , ) N=2'+''-^Biß,v), ν,μ>0

(6_a)>^->(%)-M-'e-l*«'(*+*>

•M^_,,H-p-iP2/(&-ffl)] ΛΓ=(&-α) '^ ' -Τ(2Μ)

· Γ ( 2 ν ) [ Γ ( 2 μ + 2 ν ) ^ , μ . ' ' >0

Cexp(e-')+l]-»e-'*

exp(-oe ')/,(6e»)

[αΗ-(χ±6 )Τ'

expC-oV-fe^e-*)

expia^eH-B^e-*)!« •Erfc(aei*+öe-*»)

[(α+6β')(αβΗ-ί>)-^ϊ' .1Γ,[(οΗ-6*+2ο6 coshx)»]

C(a'+a?)»+a;]-', 0<x<oo 0, - ο ο < ί ; < 0

(αΗ-χ*)-*[(αΗ-χ*) »+χ]-', 0 < χ< «> Ο, - o o < a ; < 0

( χ - 6 ) - Η Η - 6 ) - ^ , b<x Ο, otherwise

ar-Ho+x)-'-», χ > 0 ο, otherwise

( ι -χ ) ' -»( ΐ+χ) ' ' - ' , - 1 < χ < 1 Ο, otherwise

(x-o)V-i(6-a;)s-i, a<x<b Ο, otherwise

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150 Table IIIA: Functione Not Belonging to Either of These Classes

NG(y) Nfix)

13 (ο+6 ) ·^ΐΓ (2ν) (%) " ' ix+a)^-'ix-b)^\ b<x<oo

•expCiJi/(a-6) 2W^-y,^^,^[iyia+b) ] 0, otherwise N= ia+b)'i^^i2v)

^Til-2μ-2y)[Til-2μ)r\ 0<ρ<^-μ

3S ο-'2*'-'6-ί'[Γ(^)]-> exp[—6t«nh(aa:)] 'riiu+¥y/a)rih-¥y/a)Müy/a.i,-ii2b) •(sechoKe)', x>0

ΛΓ=Λ-Η^6)*-»'Γ(^^)7,^(6), ν>0 0, x<0

41 2*'(2τα2)-* expC— (β sinhx) *]D,(2ffl sinhx) .exp(a^) r[Kl+.'+iy) ] Γ [ | ( 1 + ρ - ί 2 / ) ] •coslhriv-iy)lW-i,iiyi2a^)

N=!&'i2Ta")-*expia") c o s ^ w )

•Cr(Hi )?Tr_j,.o(2a«), 0<i'<l

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TABLE A

UNIVARIATE DENSITY FUNCTIONS

Probability density function No. fix)

Characteristic function

vit)= Γ e<^ix) dx • ' — 0 0

Notes

1 (2ir)-*exp(- |x*) (1) — ' » < x < O O

2 expiibt-ha^) (2)

— O O < x < O O , o > 0

3 (e«'-e<^)/t-(6-o)< (3) a<x<h, a<b

4 (2a)-i sin(a<)/o< (4) — a<x<a, a>0

5 l-\x\ (2/<«)( l -cosi ) -l<x<+l

153

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154 Appendix

Probability density function No. i{x)

Characteristic function

Notes

10

11

12

13

14

15

16

17

18

{l—eoax)/v3?

χ>α, a>0

(TCP)]-'»»^!«-* x>0, p>0

x>0, p>0, o > 0

Cr (p+3 ) /r (p )r (g )>^( l+e-) - o o < a ; < o o , p > 0 , g > 0

[2-»»/Γ(|η)>»"-»β-1' a;>0, n > 0 (integer)

Cx(i+x»)r' — < » < a ; < o o

a[waH-Kix-myj-^ — o o < a ; < o o , a>0

{2/τ){ί+χ")-' — 00 < χ < 00

(2Α)χ«(1+χ^)-ι — 00 < x < 00

— 00 <α;< 00

(2a)-ie--"'l*-^» — o o < x < o o , o > 0

Cr(p)]- 'exp(px-e*) - - ο ο < χ < ο ο , p > 0

i - M I , l < l < i .0, l < l > i

ο/(ο-ώ)

ii-ü)-p

T{p+Ü)T{q-Ü)/np)nq)

exp{imt—a\ 11)

(1+| ί | ) «Γ ΐΊ

( l - | < | ) e - l ' i

(1+i^) - '

Tip+Ü)/T{p)

(5)

(6)

(7)

(8)

(9)

(10)

(11)

(11)

(12)

(13)

(11)

Page 153: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Table A: Univariate Density Functione 155

No. Probability density function

fix)

Characteristic function

φ{ί)=Γ e»fix)dx Notes

19 ?>^i^/ar(rM)Cl+(x/a)? •exp[ -p (a : / a ) ]

- a < a ; < O O ; p > 0 , a > 0

(14)

20 Kl+|x|)e-'*' — ΟΟ<Χ<ΟΟ

(1+i*)-' (11)

21 exp(—X—e"*) — 00 < Χ < 00

r( l -Ä) (15)

22 (α/ΐΓ») exp[2a(6*)>-»{expC-6x-(ayx)]} x>0 ; a>0, 6 > 0

exp{2o[6»-(6-Ö)*]} (11)

23 J sechdirx) — ΟΟ<Χ<ΟΟ

secht (16)

24 Ksech ( | i rx ) i — 00 < Χ < 00

<csch( (16)

25 ix csch(J^x) — OO<X<OO

sech*< (16)

26 Cr(?^fg)/r(p)r(g)>^Hl-^)^^ 0<x<l; p > 0 , g > 0

(17)

27 — ΟΟ<α;<ΟΟ; m > 0

iih\t\)'^/irT(m-i)2K„^{\t\) (18)

28 — O O < X < O O ; m > 0

( l + i ) - - i (11)

29 x>0; m > 0 , p > 0

C2/r(p):(tm<)»''irp[2(-imi)i] (11)

30 [Γ(^^f(^)/Γ(p)Γ((^)>^Hl+^)-'^« x>0 ; p > 0 , (7>0

iFi(p; - g ; - Λ )

31 [T(?^f(z)/r(p)r(i)]e-^(l-6-)^i x>0, p > 0 , q>0

Γ(Η-9)Γ(ρ-ί<)/Γ(ρ)Γ(ρ+3-Λ)

Page 154: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

156 Appendix

Probability density function No. fix)

Characteristic function

v{t) = fe'*'fix)dx Notes

32

33

34

35

36

37

38

39

40

41

— oo<a;<oo, p > 0

[2»r (m+n) ]-^ϊ»->ΤΓ„,η-}(23;) — οο<ί;<<», m>0, n>0

• exp(—αχ) /p_i[ö(x)*] x > 0 , α>0, p > 0

^Mp^χip-ir'I^^[2{L·)i2 x>0, b>0, p > 0

Xi-*«e-»^a*'-*e-*'/jn-i(Xx)» x > 0 , λ > 0 , n > 0 (integer)

C2-i^yr(p) > t a ^ W i ^ , . l ^ ^ ( 2 x ) — <»<χ<οο, p > 0 , g > 0

Ζ^/Τ{ρ)π*:ί^^Κ^{χ) — oo<x<oo; p > 0

[T(rH?)/r(p)r(g)](l+e-)-'-»e'» 0<X<oo; p>0 , g > 0

4-1 exp(-i62)2-iiM»a;b'-rt

— oo<a;<oo; p > 0 , g > 0

exp{-W)ir-i{hx)^

• Ε ί ^ ί ϊ ^ ) ^ - * - * ^ ^ )

— » < X < o o , p > 0

| r (p+it<) p [T(p) ] -*

(1+ίί) ·»-"(1-{()-»-«

^ - » ( i / a ) ! ^ •exp{ä(&/2a)«Cl-tX</a)]-i}

( 1 - ι 6 ) - ί β χ ρ [ ί δ < / ( 1 - Λ ) ]

(1-2Λ)-*» exp[i<X/(l-2i«) ]

(1-Λ)-*(1+ΐ<)-«

Γ (ρ+ί<)Γ (3-ώ ) /Γ (ρ )Γ (5)

( 1 - ί ί ) - ' ( 1 + ώ ) - « .expC - i6»iy ( l+i*)]

( l + i » ) - ' e x p [ - W ( l + < » ) ]

(11)

(11)

(19)

(20)

(21)

(22)

(23)

(22)

(21)

(21)

Page 155: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

Table A: Univariate Density Functione 157

Probability density function No. fix)

Characteristic function

<pit) = fe'*'fix)dx Notes

42 (3/τ)ίχ-<»/«)'·ΤΓ|,,(Μχ-») e x p { - | f | i [ l - i \ ^ « / | < | ) ] } a;>0

43 i(3/ir)»x-» W-i,i(-^) e x p { - | < | » [ l + i « / | < | ) ] } x>0

44 ( 3 A ) » | x h e - e ' « " ' V j . i ( ^ - * ) e x p ( - | < | ' ) — «><x<«>

45 T-»3-i(2/3x)ii:|[i3»(2/3a;)i] e x p ( - | i | » { l - ( t / V 3 ) [ < / ( | i | ) ] } ) x > 0

46 (2x)-*e-J-x-i e x p ( - | < | i { [ l + C < / ( | < | ) ] } ) x>0

(24)

(24)

(24)

(24)

(25)

Notes: (I) Standardized normal distribution. (2) Normal distribution. (3) Rectangular or uniform distribution. (4) Symmetric rectangular distribution. (5) Khintchine's convex distribution, H. Cramer, "Mathematical Methods of Statistics,**

p. 94. Princeton Univ. Press, Princeton, New Jersey, 1946. (6) Exponential distribution. (7) Gamma distribution. (8) Chi-square distribution with η degrees of freedom. (9) Standardized Cauchy distribution. (10) Cauchy distribution. (II) S. KuUback, "Theory and Application of Characteristic Functions," Lecture notes. (12) Standardized Laplace distribution. (13) Laplace distribution. (14) Pearsonian type III distribution. (15) R. A. Fisher and L. H. C. Tippet, Proc. Cambridge Phil Soc. 24, 180 (1928). (16) J. Bass and P. Levy, C. R. Acad. Set, iPans) 230, 815 (1950). (17) Beta distribution. (18) Pearsonian type VII distribution. (19) R. G. Laha, BvU. Calcutta Math. Soc. 46, 60 (1954). (20) T. A. McKay, Biometrika 24, 39 (1932). (21) Noncentral chi-square with η degrees of freedom and a noncentral parameter λ. See

reference in note (19). (22) S. KuUback, Ann, Math. Stat. 7, 52 (1936). (23) K. Pearson, S. A. Stouffer, and F. N, David, Biometnka 24 (1932). (24) V. M. Zolotarev, Dokl. Akad. Nauk. USSR 98, 715 (1954). (25) B. V. Gnedenko and A. N. Kolmogorov, "Limit Distribution for Sums of Independent

Random Variables," p. 171. Addison-Wesley, Reading, Massachusetts, 1954.

Page 156: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

TABLE Β

UNIVARIATE DISCRETE DISTRIBUTIONS

Probability (discrete) No. Vx

Characteristic function

^(0=Σβ*'^Ρχ Notes

p y

x=Q,l, ...,n; 0 < P < 1 , n > 0 (integer)

a :=0,1, oo; m>0

x = 0 , 1 , oo; 0 < P < 1 , n > 0

( X - j / r r ) x = 0 , 1 , 2 , . . A f , Λ , η positive integers

i l + P { e " - l ) l r (1)

expCm(e<'-l)] (2)

C(l -P) / ( l - fe '0 ]» (3)

jFi ( - M , - n ; - M - N ; 1-«*') (4)

158

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Table Β: Univariate Discrete Distributions 159

Probability (discrete) No. px

α, real, +{e)=EaJ^ ζ

θ real, x=0,1, 2, oo

- ^ A l o g ( l - ö ) a:=l,2, oo; 0<Θ<1

(20^+1) l o g C ( l W ( l - ö ) ]

a;=l,2, oo; 0<θ<1

(arcsinö)~S x= 1

1 · 3 · · · ( 2 χ - 1 ) 2-4··-(271) 2H-1

α:=1,2,3, . . . ; 0<Θ<1

(arcsinö)""^

Characteristic function

log(l-i?e*0/log(l-ö)

log(l+ge*0-log(l-(?6*0 log(l+ö)-log(l-i?)

aresin (öe*0 arcsin(ö)

Notes

(5)

(5)

(5)

(5)

Notes: (1) Binomial distribution. (2) Poisson distribution. (3) Negative binomial distribution. (4) Hypergeometric distribution. (5) Α. Noack, Ann. Math, Stat. 21, 127 (1950).

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TABLE C

MULTIVARIATE DENSITY FUNCTIONS

Characteristic function

Probability density function No. / ( X l , ...yXk)

= / expp(iia;i, . . . , to*) ] •'—00

•/(xi, ..,,Xk) dxv'dxk Notes

IA |-i {2ir)-^^exvl-\{X-M)A-\X-M')'} X={xi, . . . , ^ λ ) ; ~«><a:y<oo,

i = l , 2 , . . . ,Α; M= {mi, mi, .,,,τπίο) A={aij);i,j= 1,2, . . . , n

symmetric positive definite

^-4*(*-i) / n r ( l n - i i )

ij Xij= Xji and Z = (xij), i,j=l,2,.,.,k

symmetric positive definite A={ai,j); i , i = l , 2 , •••,Α;

symmetric positive definite

expliTM'-iTAr^ T={ti, t2,.,.,tk)

T={eijij), i,j=l,2,.,.,k

" jo, i F^ i

(1)

(2)

160

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Table C: Multivariate Density Functione 161

Probability density function No. f{xu...,Xk)

m

Xj> 0 (integer); j=l,2, ...,k

3

i = l , 2 , ... ,Ä;; E p y = l

Characteristic function

= ί expCi(iiXi, •'—00

Notes

(3)

Notes: (1) Multivariate normal distribution. (3) Multinomial distribution.

(2) Wishart distribution.

Page 160: Fourier Transforms of Distributions and Their Inverses: A Collection of Tables

LIST OF ABBREVIATIONS, SYMBOLS, AND NOTATIONS

€n = Neumann 's number, €o = 1, e« = 2, η = 1, 2, 3, . . .

7 = Euler 's constant, y = 0.57721 · · ·

Q = binomial coefficient, = Γ ( a + 1 ) / Γ ( 6 + 1 ) Γ ( α - 6 + 1 )

Τν,ι = first positive root of Jp{x), fv, i = first positive root of Yy{x)

N o t a t i o n s

1. E l e m e n t a r y F u n c t i o n s

Trigonometric and inverse trigonometric functions: sinx, cosx, t anx = sinx/cosx, c t n x = cosx/sinx, secx = l /cosx, cscx = l / s inx ; arcsinx, arccosx, arctanx, arcctnx.

Hyperbolic functions: sinhx = f(e^—e~^), coshx = i ( e * + e " ' ) , t a n h x = s inhx/ coshx, c t n h x = coshx/sinhx, sechx = 1/coshx, cschx = 1/sinhx.

2. G a m m a F u n c t i o n a n d R e l a t e d F u n c t i o n s

Gamma function: Τ{ζ)=ί e-^H'-^ dt, Re z>0

162

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List of Abbreviations, Symbols, and Notations 163

Beta function: B{x, y) =T{x)T{y)/T(x+y)

φ function: ψ (ζ) = d[logT (ζ) ]/dz

3· R i e m a n n a n d H u r w i t z Zeta F u n c t i o n

00

ί ( « ) = Σ R e s> l n - 1

i{Syv)= Σ (n+v)"', R e s > l n - 1

4. Legendre F u n c t i o n s (Definit ion after Hobson)

rΛzXT{ί-μ)lΓ^\:(^+l)/{^-l)J'',F^i-y, . + 1; 1-μ;

ο ; (ζ) = 2 - ' -»[Γ ( ^ + § ) ]-ΐβ"ΜΓ (μ+ν+Ι)

·2Γ' ' - ' - Ι (2*-1)* ' 'Λ[Ι (Μ+' '+1) , | ( μ + » ' + 2 ) , v+i;r-^'], 1<ζ<«> P;(x )=[ r ( l -M ) ] - 'C( l+a ; ) / ( l -a ; )J ' ' ,F i ( - . , .+ l ; l -M; | -^x) , - l < a ; < l (ΤΛχ) =h e x p ( - i V M ) [ e x p ( - t W ) O ! ; ( x + i 0 ) + e x p ( i W ) O ! ; ( 3 ; - i ö ) ] ,

- l < a ; < l

5. Beesel F u n c t i o n s

Λ(ζ)= Σ (-l)»[n!r(^+n+l)]-i(i2)'+'» n -1

n(z) =Csin(w)]-»[J,(z) c o s M - / _ , ( 0 ) ]

6. Modified Besse l F u n c t i o n s

I,{z)=expi-ihirv)Mze'')= £ [η!Γ(,;+η+1)]-ΐ(|ζ)'+*» n -1

K,{z) = i 7 r ( s m 7 r ^ ) - ^ / - . ( 0 ) - / . ( 2 ) ]

7. Anger-Weber F u n c t i o n s

Jp(z)=T-^ ί cosizsint—d) dt, (2;) = — ττ" ί 8ΐη{ζ sint—vt)

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164 Appendix

8. Struve F u n c t i o n s

n-O

L , (z )= - i exp( - i | f lT )H , ( ze<» ' )

9. L o m m e l F u n c t i o n s

s,Az) = i{ß-p+l)iß+>'+l)l-'iF,il;h{ß-y+S), H M + ^ + S ) ; - ^ Z ' ] , μ±ν9έ-1, -2, - 3 , . . .

S . . . ( z ) = V . ( z ) + 2 ' - » r C H M - « ' + l ) ] r [ i ( M + ' ' + l ) ]

'{άnih1r(μ-y)y,{^)-cos[i1r(μ-y)lYΛ^)]

9a. Special Cases of L o m m e l F u n c t i o n s

s , . , ( 2 ) = , r i 2 ' - i r ( i + . ) H , ( 2 )

S,.,(z) = π * 2 ' - ΐ Γ ( | + . ) [ Η , ( 0 ) - Κ , ( 0 ) ]

SoAz) = i ^ c s c ( « ) C J , ( 2 ) - J . , ( z ) ]

So.,(2) =^ir csc(«)CJ,(z) - J . , ( 2 ) - Λ ω

S _ 1 „ ( Z ) = - § X „ - » CSC(X^)CJ , (2 )+J . , (2 ) ]

si,,(z) = 1 - | T V C S C ( X « ' ) C J , ( 2 ) + J . , ( Z ) ]

S I . , ( 2 ) = 1 + J T . C S C ( X . ) [ J , ( 2 ) + J - , ( Z ) - J , ( Z ) - J - , ( 2 ) ]

Si,i(z) =2-*; θι.»(2) =2»

<S-},±}(0) =2r*[sin2 Ci(z) — cosz s i(z)]

-S-l.iiCz) = -2-*Csiiu; si(z) +cos2 Ci(z) ] , 1 ΐ ι η [ Γ ( . — M ) ] - V I . » ( 2 ) = - 2 ' - » Γ ( , - ) / , ( Ζ )

Lommel functions of two variables:

U,{w,z)=i ( - 1 ) » ( Μ ; / Ζ ) ' + « - Λ + 2 „ ( Ζ ) n-O

V,{w, z) = cos (^U)+JzVtü+ivTr) + C / 2 - (« ' , 2)

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Λ (αϊ, 02, . . . , «u; ίΊ. ί > 2 . . . . , f»n; Ζ )

List of Abbreviations, Symbols, and Notations 165

10. Genera l ized Hypergeometr i c Series

Γ ( 6 χ ) . . . Γ ( 6 „ ) Γ ( α ι ) . . . Γ ( α „ )

" r(ai+k)'--T(cu+k) 'h T{h+k)"-T{K+k) k\

11. G a u s s i a n Hypergeometr i c Series

ipr κ ^ r(c) ' T{a+k)Tib+k) z" '^^^'^' ^' ^' ^) = näm^) £ r(c+Ä:) fc!

12. Conf luent Hypergeometr i c F u n c t i o n s

r(c) " T{a+k) z* iFiia; c; z) =

Γ(α) r(c+fc) k\

Whiitaker functions:

MkAz) =z''+k-i^F^i^+μ-k•, 2μ+1; ζ)

Parabolic cylindrical functions:

D,{z) =2»'+iz-iTr,^j.±l(|z^)

i)„(z) = (-l)»exp(iz*)(d"M")Cexp(-*2^)] = expC-iz*]iie„(z), n = 0 , 1, 2, . . .

Z)_i(z) = (IT)* exp(iz«) Erf(z2-»)

Ό.^{ζ) = {\ζ/τΥΚ^{\ζ^)

Incomplete gamma functions:

γ (a, z)=( i—ie-' d< = a-'2iFi(a; a + 1 ; - z )

•Ό

Γ(α, ζ) = j " " f-^e-" dt = T{a)-y{a, z) =ζί«-ίβ-ί'ΤΓ}„_}.ϋ<.(ζ)

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166 Appendix

2ΐΓ-»2-1 e x p ( - §2«)

Erfc(2) =2ir-» J\xp(-e) d < = l - E r f ( 2 ) = ( i r « ) - * e x p ( - | z ' ) iF_i.±i(2«)

Erf(a;»e«') =2le*i ' [C(x)- i -S(a; ) ]

Erfc(xVJ') = 1-C(a;) - S ( a ; ) - 8{χ)2

Fresnel integrals:

Cix) = {2ir)-i f tricoBtdt

S(x) = (2ir)-» f irisintdt •Ό

Exponentiai integral:

-Ei(-2)=J*r>e-'d< = r(0,2)=2-*e-»'W^_,.o(2) = - 7 l o g 2 - £ ( n ! n ) - K - 2 ) '

Ei(a;) = lim r'e-'d<+/ r^e-' dt=y+logx+ Σ {ηΙη)-^χ''

E i ( - i a ; ) = C i ( a ; ) - i si(a;)

Εΐ(ώ) = C i ( a ; ) + C i r + s i ( x ) ]

x > 0

Sine integral:

Si{x)= ί ir^sintdt •'o

si(x) = - j <-i sini dt = Si(a;) -

Cosine integral:

Ci{x) = - Pr> cosi d< = 7+loga;+ £ [2n(2n) ! ] -» ( - l )"a?" •Ί n-1

Error functions:

Erf(2)=2ir-* Γβχρ(-Ρ) dt--J Λ

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List of Abbreviations, Symbols, and Notations 167

13. El l ipt ic Integra l s

K{k)^\ ( l - f c 2 s i n 2 0 - * * = |7r 2 F i ( ü ; l ; Ä : ^ )

E{k) = t {\^¥unH)Ut = \ir 2 F i ( - i , I; 1; fc^) •Ό

14. Besse l Integra l F u n c t i o n

Jio(a:)= -Tt-Uoit) dt = y+log{hx)+h Σ [n(n!)2]-H-l) '»( ia:)2-·'« n -1