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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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Partition Function
Physics 313Professor Lee
CarknerLecture 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
Since the entropy tends to increase, after rolling a non-seven your next roll should have higher entropy
Why is 2nd law violated?
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
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
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
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)
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
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)
Maxwellian Distribution
What characterizes the Maxwellian distribution?
The tail is important
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:
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
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
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