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Partition Function Physics 313 Professor Lee Carkner Lecture 24

Partition Function

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Partition Function. Physics 313 Professor Lee Carkner Lecture 24. Exercise #23 Statistics. Number of microstates from rolling 2 dice Which macrostate has the most microstates? 7 (1,6 6,1 5,2 2,5 3,4 4,3 total = 6) Entropy and dice - PowerPoint PPT Presentation

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Page 1: Partition Function

Partition Function

Physics 313Professor Lee

CarknerLecture 24

Page 2: Partition Function

Exercise #23 Statistics Number of microstates from rolling 2 dice

Which macrostate has the most microstates?

7 (1,6 6,1 5,2 2,5 3,4 4,3 total = 6) Entropy and dice

Since the entropy tends to increase, after rolling a non-seven your next roll should have higher entropy

Why is 2nd law violated?

Page 3: Partition Function

Partition Function We can write the partition function as:

Z (V,T) = gi e -i/kT

Z is a function of temperature and volume

We can find other properties in terms of the partition function

(dZ/dT)V = ZU/NkT2

we can re-write in terms of U

U = NkT2 (dln Z/dT)V

Page 4: Partition Function

Entropy

We can also use the partition function in relation to entropy

but is a function of N and Z,

S = Nk ln (Z/N) + U/T + Nk We can also find the pressure:

P = NkT(dlnZ/dV)T

Page 5: Partition Function

Ideal Gas Partition Function

To find ideal gas partition function:

Result:Z = V (2mkT/h2)3/2

We can use this to get back our ideal gas relations

ideal gas law

Page 6: Partition Function

Equipartition of Energy The kinetic energy of a molecule is:

Other forms of energy can also be written in similar

form

The total energy is the sum of all of these terms

= (f/2)kT

This represents equipartition of energy since each degree of freedom has the same energy associated with it (1/2 k T)

Page 7: Partition Function

Degrees of Freedom

For diatomic gases there are 3 translational and 2 rotational so f = 5

Energy per mole u = 5/2 RT (k = R/NA) At constant volume u = cV T, so cV = 5/2 R

In general degrees of freedom increases with

increasing T

Page 8: Partition Function

Speed Distribution

We know the number of particles with a specific energy:

N = (N/Z) g e -/kT

We can then finddNv/dv = (2N/(2)½)(m/kT)3/2 v2 e-(½mv2/kT)

Page 9: Partition Function
Page 10: Partition Function

Maxwellian Distribution

What characterizes the Maxwellian distribution?

The tail is important

Page 11: Partition Function
Page 12: Partition Function

Maxwell’s Tail Most particles in a Maxwellian distribution

have a velocity near the root-mean squared velocity:

vrms = (3kT/m)1/2

We can approximate the high velocities in the tail with:

Page 13: Partition Function

Entropy We can write the entropy as:

Where is the number of accessible states

to which particles can be randomly distributed

We have no idea where an individual particle may end up, only what the bulk distribution might be

Page 14: Partition Function

Entropy and Information

More information = less disorderI = k ln (0/1)

Information is equal to the decrease in entropy for a

system

Information must also cause a greater increase in the entropy of the universe

The process of obtaining information increases the entropy of the universe

Page 15: Partition Function

Maxwell’s Demon If hot and cold are due to the relative

numbers of fast and slow moving particles, what if you could sort them?

Could transfer heat from cold to hot

But demon needs to get information about the molecules which raises entropy