Vector Calculas

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www.rejinpaul.com www.rejinpaul.com UNIT-II VECTOR CALCULUS Directional derivative The derivative of a point function (scalar or vector) in a particular direction is called its directional derivative along the direction. The directional derivative of a scalar point function φ in a given direction is the rate of change of φ in the direction. It is given by the component of grad φ in that direction. The directional derivative of a scalar point function φ (x,y,z) in the direction of a is given by a a . φ . Directional derivative of φ is maximum in the direction of φ . Hence the maximum directional derivative is φ φ grad or Unit normal vector to the surface If φ (x, y, z) be a scalar function, then φ (x, y, z) = c represents A surface and the unit normal vector to the surface φ is given by φ φ Equation of the tangent plane and normal to the surface Suppose a is the position vector of the point ) , , ( 0 0 0 z y x On the surface φ (x, y, z) = c. If + + = k z j y i x r is the position vector of any point (x,y,z) on the tangent plane to the surface at a , then the equation of the tangent plane to the surface φ at a given point a on it is given by 0 . = - φ grad a r If r is the position vector of any point on the normal to the surface at the point a on it. The vector equation of the normal at a given point a on the surface φ is 0 = × - φ grad a r The Cartesian form of the normal at ) , , ( 0 0 0 z y x on the surface φ (x,y,z) = c is z z z y y y x x x o - = - = - φ φ φ 0 0 Divergence of a vector If ) , , ( z y x F is a continuously differentiable vector point function in a given region of space, then the divergences of F is defined by z F k y F j x F i F div F + + = = . www.rejinpaul.com www.rejinpaul.com

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Transcript of Vector Calculas

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    UNIT-II

    VECTOR CALCULUS

    Directional derivative

    The derivative of a point function (scalar or vector) in a particular

    direction is called its directional derivative along the direction.

    The directional derivative of a scalar point function in a given direction is the rate of change of in the direction. It is given by the component of grad in that direction. The directional derivative of a scalar point function

    (x,y,z) in the direction of a is given by

    a

    a..

    Directional derivative of is maximum in the direction of . Hence the maximum directional derivative is grador Unit normal vector to the surface

    If (x, y, z) be a scalar function, then (x, y, z) = c represents A surface and the unit normal vector to the surface is given by

    Equation of the tangent plane and normal to the surface

    Suppose a is the position vector of the point ),,( 000 zyx

    On the surface (x, y, z) = c. If

    ++= kzjyixr is the position vector of

    any point (x,y,z) on the tangent plane to the surface ata , then the

    equation of the tangent plane to the surface at a given point a on it is

    given by 0. =

    gradar

    If r is the position vector of any point on the normal to the surface

    at the point a on it. The vector equation of the normal at a given point

    a on the surface is 0=

    gradar

    The Cartesian form of the normal at ),,( 000 zyx on the surface

    (x,y,z) = c is

    z

    zz

    y

    yy

    x

    xx o

    =

    =

    00

    Divergence of a vector

    If ),,( zyxF

    is a continuously differentiable vector point function in

    a given region of space, then the divergences of F is defined by

    z

    Fk

    y

    Fj

    x

    FiFdivF

    +

    +

    ==

    .

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    =x

    Fi

    If

    ++= kFjFiFF 321 ,then ).( 321

    ++= kFjFiFFdiv

    i.e., z

    F

    y

    F

    x

    FFdiv

    +

    +

    =

    321

    Solenoidal Vector

    A vector F is said to be solenoidal if 0=

    Fdiv (ie) 0. =

    F

    Curl of vector function

    If ),,( zyxF

    is a differentiable vector point function defined at each

    point (x, y, z), then the curl of F is defined by

    = FFcurl

    = z

    Fk

    y

    Fj

    x

    Fi

    +

    +

    = x

    Fi

    If

    ++= kFjFiFF 321 ,then )( 321

    ++= kFjFiFFcurl

    321 FFF

    zyx

    kji

    Fcurl

    =

    =

    +

    y

    F

    x

    Fk

    z

    F

    x

    Fj

    z

    F

    y

    Fi 121323

    CurlF is also said to be rotation

    F

    Irrotational Vector

    A vector F is called irrotational if Curl 0=

    F

    (ie) if 0=F

    Scalar Potential

    If F is an irrotational vector, then there exists a scalar function

    Such that =F . Such a scalar function is called scalar potential of

    F

    Properties of Gradient

    1. If f and g are two scalar point function that ( ) gfgf = (or) ( ) gradggradfgfgrad =

    Solution: ( ) ( )gfz

    ky

    jx

    igf

    +

    +

    =

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    = ( ) ( ) ( )

    +

    +

    gfz

    kgfy

    jgfx

    i

    = z

    gk

    z

    fk

    y

    gj

    y

    fj

    x

    gi

    x

    fi

    +

    +

    =

    +

    +

    +

    +

    z

    gk

    y

    gj

    x

    gi

    z

    fk

    y

    fj

    x

    fi

    = gf

    2. If f and g are two scalar point functions then ( ) fggffg += (or) ggradffgradgfggrad +=)(

    Solution: ( ) = fg ( )fgz

    ky

    jx

    i

    +

    +

    = ( ) ( ) ( )

    +

    +

    fgz

    kfgy

    jfgx

    i

    =

    +

    +

    +

    +

    +

    z

    fg

    z

    gfk

    y

    fg

    y

    gfj

    x

    fg

    x

    gfi

    =

    +

    +

    +

    +

    +

    z

    fk

    y

    fj

    x

    fig

    z

    gk

    y

    gj

    x

    gif

    = fggf +

    3. If f and g are two scalar point function then 2g

    gffg

    g

    f =

    where

    0g

    Solution: =

    g

    f

    +

    +

    g

    f

    zk

    yj

    xi

    =

    g

    f

    xi

    =

    2g

    x

    gf

    x

    fg

    i

    =

    x

    gif

    x

    fig

    g 21

    = [ ]gffgg

    2

    1

    4. If

    ++= kzjyixr such that rr =

    ,prove that

    = rnrr nn 2

    Solution: nn r

    zk

    yj

    xir

    +

    +

    =

    =

    +

    +

    z

    rk

    y

    rj

    x

    ri

    nnn

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    = z

    rnrk

    y

    rnrj

    x

    rnri nnn

    +

    +

    111

    =

    ++

    r

    zk

    r

    yj

    r

    xinr n 1

    =

    ++

    kzjyixr

    nr n 1

    =

    rr

    nr n 1

    5. Find a unit normal to the surface 422 =+ xzyx at (2,-2, 3) Solution: Given that xzyx 22 +=

    )2( 2 xzyxz

    ky

    jx

    i +

    +

    +

    =

    = ( ) ( ) ( )xkxjzxyi 222 2 +++ At (2,-2, 3)

    ( ) )4()4(68

    +++= kji

    =

    ++ kji 442

    63616164 ==++= Unit normal to the given surface at (2,-2,3)

    =6

    442

    ++ kji

    =

    ++kji 22

    3

    1

    6. Find the directional derivative of xyzxzyzx ++= 22 4 at (1,2,3) in the

    direction of

    + kji2 Solution: Given xyzxzyzx ++= 22 4

    )4( 22 xyzxzyzxz

    ky

    jx

    i ++

    +

    +

    =

    = ( ) ( ) ( ) +++++++ kxyxzyxjxzzxiyzzxyz 842 222 At (1, 2, 3)

    ++= kji 28654

    Given:

    += kjia 2

    6114 =++=a

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    =a

    aDD ..

    = 6

    22.28654

    +

    ++ kjikji

    = [ ] [ ]866

    1286108

    6

    1 =+

    7. Find the angle between the surface 5222 =++ zyx and 52222 =++ xzyx at (0,1,2)

    Solution: Let 222

    1 zyx ++= and xzyx 2222

    2 ++=

    zz

    yy

    xx

    2,2,2 111 ==

    =

    zz

    yy

    xx

    2,2,22 222 ==

    =

    ++= kzjyix 2221

    ++= kzjyix 22)22(2 At (o,1,2)

    += kj 421

    ++= kji 4222

    Cos644416

    422.42.

    21

    21

    +++

    ++

    +=

    =

    kjikj

    2420

    20

    2420

    164cos =+=

    = 2420

    20cos 1

    =

    24

    20cos 1

    8. Find the angle between the surfaces 1log 2 = yzx and zyx = 22 at the point (1,1,1)

    Solution: let zxy log21 = and zyx +=2

    2

    z

    x

    zy

    yz

    x=

    =

    =

    111 ,2,log

    1,,2 2222 ==

    =

    zx

    yxy

    x

    += kz

    kjyiz 2)log(1

    = kj22

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    Cos65

    1

    11414

    12.

    21

    21 =+++

    ==

    = 65

    1cos 1

    9. Find ( )nr2 Solution: ( )nr2 = ( )nr. = ( ) ( ) ( )nnn r

    zkr

    yjr

    xi

    +

    +

    = z

    rnrk

    y

    rnrj

    x

    rnri nnn

    +

    +

    111

    ++= kzjyixr

    222 zyxrr ++==

    2222 zyxr ++=

    r

    x

    x

    rx

    x

    rr =

    =

    22

    r

    y

    y

    ry

    y

    rr =

    =

    22

    r

    z

    z

    rz

    z

    rr =

    =

    22

    ( )= nr2

    ++

    r

    zk

    r

    yj

    r

    xinr n 1

    =

    ++

    kzjyixnr n 2

    =

    rnr

    n 2

    Since

    +=

    udivuu .

    ( )

    =

    rnrr nn 22

    = ( ) +

    rnrrnr nn .. 22

    ++

    +

    +

    =

    kzjyix

    zk

    yj

    xir.

    =1+1+1 = 3

    ( ) ( ) += rrnnrr nnn .3 222 = ( )( ) 242 .23 rrnnnr nn + = ( )( )22 23 + nn rnnnr

    ( ) [ ] ( ) 2222 1 +=+= nnn rnnnnrr

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    10. If

    ++= kzjyixr and rr =

    .Prove that rr n is solenoidal if 3=n and

    rr n is irrotational for all vectors of n.

    Solution: rr n

    ++= krjyrixr nnn

    div ( ) ( ) ( )zrz

    yry

    xrx

    rr nnnn

    +

    +

    =

    (1)

    Now 2222 zyxr ++=

    Differentiating partially w.r.to x,

    r

    x

    x

    rx

    x

    rr =

    =

    22

    Similarly, r

    y

    y

    ry

    y

    rr =

    =

    22

    r

    z

    z

    rz

    z

    rr =

    =

    22

    Now ( ) ( ) nnn rx

    rr

    rxxr

    x+

    =

    .

    = x.nnn r

    r

    xr +1

    ( ) nnn rynryry

    += 22

    ( ) nnn rznrzrz

    += 22

    From (1) we have

    ( ) nnn rzyxnrrrdiv 32222 +++=

    = nn rnr 3+

    = ( ) nrn 3+ The vector

    rr n is solenoidal if

    rrdiv n = 0

    ( ) 03 =+ nrn 03 =+ n 3= n

    rr n is solenoidal only if n = -3

    Now

    zryrxr

    zyx

    kji

    rrcurl

    nnn

    n

    =

    = ( ) ( )

    yrz

    zry

    i nn

    =

    z

    rynrz

    y

    rnri nn 11

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    =

    r

    zynrz

    r

    ynri nn 11

    = ( )

    yznryznri nn 22 = 0

    Curl (rr n ) =

    ++ kji 000 =0

    Curl (rr n ) = 0 for all values of n

    Hence rr n is irrotational for all values of n.

    11. Prove that ( ) ( ) +++= kxzjxyizxyF 232 34sin2cos is irrotational and find its scalar potential

    Solution:

    232 34sin2cos xzxyzxy

    zyx

    kji

    Fcurl

    +

    =

    = [ ] [ ] [ ] 0cos2cos23300 22 =+ xyxykzzji

    F is irrotational.

    To Find such that gradF =

    ( ) ( )z

    ky

    jx

    ikxzjxyizxy+

    +

    =+++

    222 34sin2cos

    Integrating the equation partially w.r.to x,y,z respectively

    ),(sin 132 zyfxzxy ++=

    ),(4sin 22 zxfyxy +=

    ),(33 yxfxz +=

    ,4sin 32 Cyxzxy ++= is scalar potential

    12. Prove that ).().(

    =

    BcurlAAcurlBBAdiv

    Proof : ).(

    =

    BABAdiv

    =

    BAx

    i

    =

    +

    B

    x

    Ai

    x

    BAi

    =

    +

    B

    x

    AiA

    x

    Bi

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    =

    +

    B

    x

    AiA

    x

    Bi ..

    =

    +

    BAcurlABcurl ..

    13.Prove that

    =

    FFFcurlcurl 2

    Solution:

    =

    FFcurlcurl

    By using

    =

    cbabcacba ..

    = ( )

    FF ..

    =

    FF 2.

    VECTOR INTEGRATION

    Line, surface and Volume Integrals

    Problems based on line Integral

    Example 1:

    If ( ) ++= kxzjyziyxF 22 201463 Evaluate

    C

    drF . from (0,0,0) to

    (1,1,1) along the curve 32 ,, tztytx ===

    Solution: The end points are (0, 0, 0) and (1, 1, 1)

    These points correspond to t = 0 and t = 1

    23,2, tdztdydtdx ===

    C

    drF . = ( ) ++C

    dzxzyzdydxyx 22 201463

    = ( ) ( ) ( ) ++1

    0

    27522 32021463 dttttdttdttt

    = ( ) +1

    0

    962 60289 dtttt

    = ( )101073 643 ttt + = ( )[ ] 50643 =+

    Example 2:

    Show that

    ++= kzjyixF 222 is a conservative vector field.

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    Solution: If F is conservative then 0=

    F

    Now 0000

    222

    =++=

    =

    kji

    zyx

    zyx

    kji

    F

    F is a conservative vector field.

    Surface Integrals

    Definition: Consider a surface S. Let n denote the unit outward normal to the

    surface S. Let R be the projection of the surface x on the XY plane. Letf be

    a vector valued defined in some region containing the surface S. Then the

    surface integral of f is defined to be dydx

    kn

    nfdsnf

    RS

    .

    .

    ..

    =

    Example 1;

    Evaluate dsnfS

    . where

    += kzyjxizF 2 and S is the surface of

    the cylinder 122 =+ yx included in the first octant between the planes z = 0 and z = 2.

    Solution: Given

    += kzyjxizF 2

    122 += yx

    += jyix 22

    22 44 yx +=

    =222 yx +

    =2

    The unit normal n to the surface =

    = yjxiyjxi +=+

    2

    22

    xyxzjyixkzyjxiznF +=

    +

    +=

    .. 2

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    INTEGRAL THEOREMS

    (i) Gausss divergence theorem

    (ii) Stokes theorem

    (iii) Greens theorem in the plane

    Greens Theorem

    Statement:

    If M(x,y) and N(x,y) are continuous functions with continuous

    partial derivatives in a region R of the xy plane bounded by a simple closed

    curve C, then

    dxdyy

    M

    x

    NndyMdx

    Rc

    =+ , where C is the curve described in the

    positive direction.

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    Verify Greens theorem in a plane for the integral ( ) xdydxyxc

    + 2

    taken around the circle 422 =+ yx Solution: Greens theorem gives

    dxdyy

    M

    x

    NNdyMdx

    Rc

    =+

    Consider ( ) xdydxyxc

    + 2

    M = x 2y N = x

    1,2 ==

    x

    N

    y

    M

    dxdyy

    M

    x

    N

    R

    ( ) =+RR

    dxdydxdy 321

    = 3[Area of the circle]

    = 32r

    =3. 4. = 12 (1) Now + NdyMdx We know that the parametric equation of the circle 422 =+ yx x = 2 cos y = 2 sin

    ddx sin2= , ddy cos2= ( ) xdydxxxNdyMdx +=+ 2

    = ( )( ) ( ) dd cos2cos2sin2sin4cos2 + = d22 cos4sin8sincos2 ++ Where various from 0 to 2

    ( ) ++=+

    2

    0

    2 4sin4sincos2 dNdyMdxC

    =

    +

    +

    2

    0

    42

    2cos142sin d

    = ( ) +

    2

    0

    2cos262sin d

    =

    2

    02

    2sin26

    2

    2cos

    +

    = 122

    112

    2

    1 =+ .(2)

    From (1) and (2)

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    dxdyy

    M

    x

    NNdyMdx

    Rc

    =+

    Hence Greens Theorem is verified.

    Example 2

    Using Greens theorems find the area of a circle of radius r.

    Solution: By Greens theorem we know that

    Area enclosed by C = C

    ydxxdy2

    1

    The parametric equation of a circle of radius r is x = sin,cos ryr = Where 20

    Area of the circle =

    2

    0

    )sin(sin)cos(cos2

    1drrrr

    = ( )

    drr +2

    0

    2222 sincos2

    1

    =

    2

    0

    2

    2

    1dr

    = [ ] 22022

    1rr =

    Example 3:

    Evaluate ( )[ ] c

    xdydxyx cossin where c is the triangle with

    vertices (0,0) ,( )0,2

    and )1,

    2(

    Solution: Equation of OB is

    02

    0

    01

    0

    =

    xy

    x

    y2=

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    By Greens theorem dxdyy

    M

    x

    NNdyMdx

    Rc

    =+

    Here 1,sin =

    =y

    MyxM

    N xx

    Nx sin,cos =

    =

    ( )[ ] ( )dxdyxxdydxyxRC

    += 1sincossin

    In the region R, x varies from x = 22

    toy

    and y varies from y = 0 to y = 1

    ( ) = xdydxyxC

    cossin ( ) +1

    0

    2

    2

    1sin dxdyxy

    = [ ] +1

    0

    2

    2

    cos

    yxx dy

    = dyyy

    +1

    0222

    cos

    =

    1

    0

    2

    422sin2

    + yyy

    = 2

    2

    42

    2

    +=+

    Example 4

    Verify Greens theorem in the plane for

    ( ) ( ) +C

    dyxyydxyx 6483 22 where C is the boundary of the region defined

    by

    X = 0 , y= 0, x + y =1

    Solution: We have to prove that

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    dxdyy

    M

    x

    NNdyMdx

    Rc

    =+

    M = xyyNyx 64,83 22 =

    yx

    Ny

    y

    M6,16 =

    =

    By Greens theorem in the plane

    dxdyy

    M

    x

    NNdyMdx

    Rc

    =+

    = ( ) 1

    0

    1

    0

    10 dydxy

    x

    =

    1

    0

    1

    0

    2

    210

    x

    y

    = ( ) 1

    0

    215 dxx

    = ( )

    3

    5

    3

    15

    1

    0

    3

    =

    x

    Consider ++=+BOABOAc

    NdyMdx

    Along OA, y=0 , x varies from 0 to 1

    [ ] 13 1031

    0

    2 ===+ xdxxNdyMdxOA

    Along AB, y = 1 - x dxdy = and x varies from 1 to 0 .

    ( ) ( ) ( )[ ]dxxxxxxNdyMdxAB

    +=+0

    1

    22 1614183

    = ( ) ( ) 0

    1

    32

    232

    232

    14

    3

    18

    3

    3

    +

    xxxxx

    = 3

    82312

    3

    8 =++

    STOKES THEOREM

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    If S is an open surface bounded by a simple closed curve C and if a vector

    function F is continuous and has continuous partial derivatives in S and on

    C, then

    =c

    rdFdsnFcurl .. where n is the unit vector normal to the

    surface (ie) The surface integral of the normal component of Fcurl is equal

    to the integral of the tangential component of F taken around C.

    Example 1

    Verify Stokes theorem for ( )

    = kzyjyziyxF 222 where S is the upper half of the sphere 1222 =++ zyx and C is the circular boundary on z = 0 plane.

    Solution: By Stokes theorem

    =sc

    dsnFcurlrdF ..

    ( )

    = kzyjyziyxF 222

    zyyzyx

    zyx

    kji

    Fcurl

    222

    =

    = [ ] ( ) ( )

    =+++ kkjyzyzi 100022

    Here

    = kn since C is the circular boundary on z = 0 plane

    = S

    area of the circle =

    S

    dxdydsnFcurl .

    = =2)1( .(1)

    ON z = 0,

    =sc

    dsnFcurlrdF ..

    On C, x = cos sin, =y ddyddx cos,sin ==

    varies from 0 to 2

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    ( )( )

    drdFc

    sinsincos2.

    2

    0

    =

    = ( ) +

    2

    0

    2

    2

    0

    sinsincos2 dd

    = ( )

    +

    2

    0

    2

    02

    2cos12sin dd

    =

    2

    0

    2

    0 2

    2sin

    2

    1

    2

    2cos

    +

    = =++2

    1

    2

    1 (2)

    From (1) and (2)

    =sc

    dsnFcurlrdF ..

    Hence stokes theorem is verified

    Example 2

    Verify stokes theorem for ( ) ( )

    +++= kxzjyzizyF 42 where s is the surface of the cube x = 0, x = 2, y = 0, y = 2, z = 0 and z = 2 above the xy

    plane.

    Solution:

    By Stokes theorem

    =sc

    dsnFcurlrdF ..

    Given ( ) ( )

    +++= kxzjyzizyF 42

    xzyzzy

    zyx

    kji

    Fcurl

    ++

    =

    42

    = [ ] [ ] [ ]1010 ++kzjyi

    = [ ]

    + kzjiy 1

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    Hence Stokes theorem is verified.

    Example 3:

    Verify Stokes theorem for

    ++= kxjziyF where S is the upper half surface of the sphere 1222 =++ zyx and C is its boundary. Solution: By stokes theorem

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    =sc

    dsnFcurlrdF ..

    Gauss Divergence theorem

    Statement:

    The surface integral of the normal component of a vector

    function F over a closed surface S enclosing volume V is equal to the volume

    integral of the divergence of F taken throughout the volume V ,

    dvFdsnFVS

    = ..

    Evaluate zdxdyxydzdxxdydzx 223 ++ over the surface bounded by z = 0 ,z = h,

    222 ayx =+ Solution:

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    16

    3

    22

    1

    4

    3cos

    2

    0

    4

    == d

    2

    3.

    4adsnF

    S

    =

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