ByeongByeong--Joo Lee Joo Lee - POSTECH

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Byeong-Joo Lee www.postech.ac.kr/~calphad Byeong Byeong-Joo Lee Joo Lee POSTECH POSTECH - MSE MSE [email protected] [email protected]

Transcript of ByeongByeong--Joo Lee Joo Lee - POSTECH

Page 1: ByeongByeong--Joo Lee Joo Lee - POSTECH

Byeong-Joo Leewww.postech.ac.kr/~calphad

ByeongByeong--Joo LeeJoo Lee

POSTECH POSTECH -- MSEMSE

[email protected]@postech.ac.kr

Page 2: ByeongByeong--Joo Lee Joo Lee - POSTECH

Warming UpWarming Up –– Mathematical SkillsMathematical Skills

xxxxxxdxxxx

−≈+−=≈ ∫ ln1lnln)!(ln1

1. Stirling’s approximation

2. Evaluation of the Integral ∫∞

∞−

− dxe x2

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π=∫∞

∞−

− dxe x2

2. Evaluation of the Integral ∫ ∞−

π2

1

0

2

=∫∞ − dxe x

adxe ax π

2

1

0

2

=∫∞ −

3. Lagrangian Undetermined Multiplier Method

Page 3: ByeongByeong--Joo Lee Joo Lee - POSTECH

Basic Concept of Statistical Mechanics Basic Concept of Statistical Mechanics –– Macro vs. MicroMacro vs. Micro

View Point

Macroscopic vs. Microscopic

State

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State

Macrostate vs. Microstate

Page 4: ByeongByeong--Joo Lee Joo Lee - POSTECH

Particle in a Box Particle in a Box –– Microstates of a ParticleMicrostates of a Particle

ψψψ EVm

=+∇− 22

2

h

022

2 =+∇ ψψ Em

h

πnLmE

=2

2

h

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2

222

2mL

nEn

hπ=

)(8

),,( 222

2

2

zyxzyx nnnmL

hnnnE ++=

n = 1, 2, 3, …

for 66 : 8,1,1 7,4,1, 5,5,4

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System with particles System with particles –– Microstates of a SystemMicrostates of a System

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Page 6: ByeongByeong--Joo Lee Joo Lee - POSTECH

Macrostate / Energy Levels / Microstates Macrostate / Energy Levels / Microstates ––

Byeong-Joo Leewww.postech.ac.kr/~calphad

Page 7: ByeongByeong--Joo Lee Joo Lee - POSTECH

Scope and Fundamental Assumptions of Statistical Mechanics Scope and Fundamental Assumptions of Statistical Mechanics

▷each probable case defined by (n1, n2, …, nk) to make a macrostate

→ microstate

▷ mental collection of macrostates, quantum mechanically accessible

to a system → ensemble

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all microstates in the same energy level have a same probability

Ensemble average = time average

Page 8: ByeongByeong--Joo Lee Joo Lee - POSTECH

Number of ways of distribution : in Number of ways of distribution : in kk cells with cells with ggii and and EEii

▷ Distinguishable without Pauli exclusion principle

N

kgggW )( 21 +++=∑ L

∏==

!!)()()(

!!!

!21

21

21 j

n

jn

k

nn

k n

gNggg

nnn

NW

j

kLL

▷ Indistinguishable without Pauli exclusion principle

for gi with ni

)!1( ii ng

−−+

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for gi with ni!)!1( ii ng −

!)!1(

)!1(

ii

ii

i ng

ngW

−−+

=∏

▷ Indistinguishable with Pauli exclusion principle

for gi with ni!)!(

!

iii

i

nng

g

!)!(

!

iii

i

i nng

gW

−=∏

Page 9: ByeongByeong--Joo Lee Joo Lee - POSTECH

Evaluation of the Most Probable Macrostate Evaluation of the Most Probable Macrostate –– BoltzmanBoltzman

)lnln(lnln iiii nngnNNW −+= ∑

0lnln max =

=∑

i

ii

n

gnW δδ

0=∑ nδ 0=∑ nαδ

kn

k

nn

k

gggnnn

NW )()()(

!!!

!21

21

21

LL

=

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0=∑ inδ 0=∑ inαδ

0=∑ ii nδε 0=∑ ii nδβε

0ln =++

i

i

i

g

nβεα ieegn ii

βεα −−=

Z

N

eg

Ne

i

i

==∑ −

−βε

αieg

Z

Nn ii

βε−=

Page 10: ByeongByeong--Joo Lee Joo Lee - POSTECH

Evaluation of the Most Probable Macrostate Evaluation of the Most Probable Macrostate –– BB--E & FE & F--D D

!)!1(

)!1(

ii

ii

i ng

ngW

−−+

=∏!)!1(

)!(

ii

ii

i ng

ngW

−+

=∏→

1−=

iee

gn i

i βεα

Bose-Einstein Distribution

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!)!(

!

iii

i

i nng

gW

−=∏

Fermi-Dirac Distribution

1+=

iee

gn i

i βεα

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Definition of Entropy and Significance of Definition of Entropy and Significance of ββ

)(Ω= fS )()()( BABABA fffS Ω+Ω=Ω⋅Ω=−

▷ Consider an Isolated System composed of two part in thermal contact.

Equilibrium condition ?

Classical Thermodynamics → maximum entropy (S)

Statistical mechanics → maximum probability (Ω)

▷ S and Ω have a monotonic relation:

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Ω= ln'kS

dUkdnP

Nkdnk

P

NdnkndnkdS iiiiiii βεββε 'ln'')ln('ln' =−=−=−= ∑∑∑ ∑

dNT

dVT

PdU

TdS

µ−+=

1

Tk

1' =β →

Tk '

1=β

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Calculation of Macroscopic Properties from the Partition FunctionCalculation of Macroscopic Properties from the Partition Function

( )∑∑∑ +=

−=−=Ω= −ZkTnke

Znk

N

nnkkS ii

kT

ii

ii ln/

1ln)ln(ln

/ εε

ZNkT

US ln+=

ZNkTSTUF ln−=−≡

ZNkTZNk

FS

∂+=

∂−=

lnln

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VV T

ZNkTZNk

T

FS

∂+=

∂∂

−=ln

ln

VT

ZNkTU

∂=

ln2

TT V

ZNkT

V

FP

∂=

∂∂

−=ln

Page 13: ByeongByeong--Joo Lee Joo Lee - POSTECH

Ideal MonoIdeal Mono--Atomic GasAtomic Gas

kT

state

eZ//ε−∑=

)(8 2

2

2

2

2

22

c

n

b

n

a

n

m

h zyxi ++=ε

)/()8/()/()8/()/()8/( 222222222 cnmkThbnmkThanmkTh zyx

eeeZ−−−

∑∑∑=

kT

i

ilevel

energy

egZ//ε−∑=

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eeeZ ∑∑∑=

z

cnmkTh

y

bnmkTh

x

anmkThdnednedneZ zyx )/()8/(

0

)/()8/(

0

)/()8/(

0

222222222 −∞−∞−∞

∫∫∫=

adxe ax π

2

1

0

2

=∫∞ −

2/3

2222

28

2

8

2

8

2

=

=

h

mkTV

h

mkTc

h

mkTb

h

mkTaZ

ππππ

Page 14: ByeongByeong--Joo Lee Joo Lee - POSTECH

Ideal MonoIdeal Mono--Atomic Gas Atomic Gas –– Evaluation of Evaluation of kk

++=2

2ln2

3ln2

3lnln

h

mkTVZ

π

V

nRT

VTNk

V

ZTNkP

T

≡⋅=

∂=

1'

ln'

Z 33ln 22 ==

∂=

2/3

2

2

=h

mkTVZ

π

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NkTT

NkTT

ZNkTU

V 2

3

2

3ln 22 ==

∂=

Nkh

mkNkVNkTNk

T

PNkTPNkS

V 2

32ln

2

3lnln

2

3lnln

2+

++=

∂+=

π

ov sVRTcs ++= lnln

for 1 mol of gas

Page 15: ByeongByeong--Joo Lee Joo Lee - POSTECH

Entropy Entropy –– S = S = kk ln Wln W

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