MSEG 803 Equilibria in Material Systems 8: Statistical Ensembles Prof. Juejun (JJ) Hu

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MSEG 803

Equilibria in Material Systems

8: Statistical Ensembles

Prof. Juejun (JJ) Hu hujuejun@udel.edu

Micro-canonical ensemble: isolated systems

Fundamental postulate : given an isolated system in equilibrium, it is found with equal probability in each of its accessible microstates

Probability of finding the state in a microstate r is:

P r

 

C

0 when E < E r otherwise

Normalization condition:

< E + dE

 r

P

 r

1

1

C =

# of accessible states

When considering two system A and A’ that only interact with each other, we can always treat the composition system A + A’ as an isolated system!

Canonical ensemble: systems interacting with a heat reservoir

A small system A kept in thermal equilibrium with a large heat reservoir A’ (DOF of A << DOF of A’ )

The probability of the isolated system A + A’ in a microscopic state with total energy E

0 is C

0

, a constant

The probability of system A in one specific microscopic state with energy E r

P r

C

0

C

0

 W

'

W

'

 

E

0

E r

 is:

W

0

, E

0

= constant

A d

Q

A’

W r

, E r W ’ , E’

Canonical ensemble: systems interacting with a heat reservoir

Since A’ is much larger than A : ln 

W

'

E

0

E r

   ln

 W

'

 

0

 ln

W

'

E '

 W

'

E

0

E r

  W

'( E

0

  

' E r

)

E r

 ln 

W

'

 

0

A and A’ are in thermal equilibrium:

P r

C

0

 W

'

E

0

E r

'

1 kT

W

0

, E

0

= constant

C

0

 W

'( E

0

  

' E r

)

 exp(

 

E r

)

Normalization:

 r

P

 r

1

A

W r

, E r d

Q

A’

W ’ , E’

 

' E r

Canonical ensemble: systems interacting with a heat reservoir

 The probability of finding A in any of the microscopic states with energy E :

P

E

  W   

E )

Boltzmann factor: exp(

 

E )

Normalization: C

1

Degeneracy factor:

 e

 

E r

W e r '

T

T '

W

W  

E

E

 Ensemble average of extensive variable x : x

  r

  r r

 x e r

 e

 

E r

E r

The sums are performed over all states r

Average energy and intensive variables

Average energy in a canonical ensemble:

E

  r

P E r

 r

E e r

 e

 

E r

E r

 

 ln

 

Z

Partition function: Z

   e

 

E r

  r E

W  

E

Ensemble average of intensive variable y (conjugate of x ): y

E x

  

E r

 x r

  e

 e

 

E r

E r

 ln

 x

Z e.g. ensemble average of p : p

 

E

V

 ln

V

Z

Partition function and Helmholtz potential

E

 

 ln Z

  y

 ln

 x

Z

 d

 

  d d

  

 

 ln

 

 d

Z d E

Q

 d

 

  y dx d

E ln

 x

 

Z

  d

 dx E d

  y dx

  

TdS d E

 d

W

 ln Z

E T

 dS

S

 k ln Z

E T

F

  kT ln Z

 

Helmholtz potential

Partition function and Helmholtz potential

 The probability distribution of system energy in a canonical ensemble peaks at: d ln P

0 where

E

P

E

1 Z

 W

E

  

E )

 d ln

 W   

E )

  ln

W

( )

 

E

0

T

T '

'

E

W  

E

E

Z

  

E

W   

E

E

 W   

E  d E

 d ln Z

 d

 ln

W

  dF

 d

  kT ln Z

 

E

0

Properties of canonical partition function

 Classical approximation:

Z

   r e

 

E r

    

1

,..., p f

 dq ...

dp

1 h

0 f f h

0 phase space

Energy values are relative; entropy has absolute values

E

 

 ln Z

 

S

 k

 ln Z

 

E

Weakly interacting systems:

Z tot

 

1,2 exp

  

E

1

E

2

 

E tot

E

1

E

2

1 exp

  

E

1

  

2 exp

  

E

2

 

Z Z

1 2 ln Z tot

 ln Z

1

 ln Z

2

Summary of canonical ensembles

Probability in one microscopic state

Probability in any state with energy r

E :

: P r

P

E

The probability function maximizes when:

1

 exp(

Z

W

Z

 exp(

E r

E )

) dP

E

0 which is equivalent to:

Partition function

Z

Thermodynamic potential dF

0

  r e

 

E r

 

E

F

  kT ln Z

W  

E

 Ensemble average of energy E and intensive variable y :

E

 

 ln Z

  y

 ln

 x

Z

Procedures of calculating macroscopic properties of canonical ensembles

Determine the energy levels of the system

Calculate the partition function

Z

   r e

 

E r

    

1

,..., p f

 dq

1

...

dp h

0 f f

 Evaluate the statistical ensemble average

E

 

 ln Z

  x

  r

  r r

 x e r

 e

 

E r

E r y

 ln

 x

Z

Paramagnetism and the Curie’s Law

Consider one atom with a magnetic dipole:

Two states (+):

Probability (+):

E

 p

  

H , (-):

 exp

E

 

H

  

H

, (-): p

 exp

  

H

Average magnetic dipole:

H

P

  

P

P

P

 

 exp exp





H

H

 exp exp

 

 

H

H

 

H

 tanh

 kT

2

H kT

 

H

 kT

  

H

 kT

M

N

2

H

1 k T

Curie’s law

Maxwell velocity distribution of ideal gas

One classical ideal gas molecule enclosed in a rigid container at constant temperature T

Energy of gas: E

E kinetic p

2

 

2 m p x

2  p y

2  p z

2 m

2

 Probability of the molecule having a coordinate between

( r ; r + dr ) and momentum between ( p ; p + dp ):

3

3

 exp

 

( , )

 3  3  

  exp

3

3 mv

2

2

 exp

 3  3 d r d v

 

( , )

 3  3 

1

C

V

2

 m kT p

2

2 m

 3 2

3

3 d r d p

Maxwell velocity distribution of ideal gas

 Maxwell velocity distribution of N molecules:

( , )

 3  3 

N

V

2

 m kT

 3 2

 exp

 mv

2

2 kT

 3  3 d r d v

T = 298 K (25 °C)

Number of molecules striking a surface

 The # of molecules with velocity between v and v + dv which strike a unit area of the wall per unit time:

( )

  3 

( )

 cos q

 Total molecular flux:

0

  v z

0

( )

   v z

0

  v z

0

( )

 cos q 

( )

 cos q  v

2 sin q q  

1 d d dv nv

4

P

2

 mkT q vdt dA

 Application: impurity incorporation during film deposition

Maxwell’s Demon

A demon opens the door only to allow the “hot” molecules to pass to the right side and the “cold” molecules to pass to the left side → S decrease!

Maxwell’s Demon in action: he is devilishly COOL

Partition functions for general ensembles

Evaluate the boundary conditions for the system

 Determine the variables that are kept constant

Determine the thermodynamic potential for the system

Multiply the TD potential by -

 and exponentiate

Sum over all degrees of freedom (energy levels)

Canonical ensemble: thermal interactions only: T & V constant

Helmholtz potential F exp(

 

F )

 exp(

S k

 

E )

E

 exp(

E

W

S k

 exp(

E

 

)

E )

Z

Grand canonical ensembles: systems with indefinite number of particles d

Q

T ,

 are constant

TD potential: f

= U – TS – 

N dN

 Grand canonical partition function:

System Heat & particle source

 

E exp

  f   

E

W  exp

 

E

 

N

 f   kT ln

Probability to be at one microscopic state with energy E r and particle number N r

: P r

 

1

  exp

 

E r

 

N r

Average energy and particle number:

E

 

 ln

 

 

N N

1

 ln

 

Grand canonical probability distribution

E tot

E r

E ' N tot

N r

N ' r

 r r

  W

'

E tot

 r

, tot

N r

 ln

W

'

E tot

 r

, tot

N r

 ln

W

'

E tot

, N tot

 

E

 ln

W

'

 ln

W

'

E

 

'

 

E r

 ln

W

'

N

(thermal equilibrium)

N r

W r

, E r

 ln

W

'

N

  

'

 

P r

 

1

  exp

(chemical equilibrium)

 

E r

 

N r

 d

Q dN

W ’ , E’

Equivalence of ensembles

Microcanonical and canonical ensembles are equivalent in the thermodynamic weak coupling limit

The constant T (canonical ensemble) and the constant E (microcanonical ensemble) are connected by:

E

 e

T

T '

'

W  

E

W d 

E

E r

E E

E N

 

E

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