Partition function problems

In summary, a partition function problem is a mathematical concept used in statistical mechanics to calculate the probability of a system being in a certain state based on the energy levels of its particles. Partition functions are important for calculating thermodynamic properties and understanding the behavior of complex systems. Solving a partition function problem involves using mathematical equations and statistical methods, and it can be applied to various systems. However, there are limitations to the accuracy and complexity of these calculations.
  • #1
Lh0907
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Homework Statement



1. If the system, which has N identical particles, only has two possible energy states

E=0,e(e is an energy) ,what's the ensemble average of E?

2. Find the partition function which has two identical Fermion system if the energy states only have

E=0,e.

Homework Equations



I think what's different about partition function for identical Boson, Fermion and Boltmann stat particle?

The Attempt at a Solution



I made a solution but I'm not sure this is wrong or correct.

1. Z1 = 1 +exp(-e/kT)

Then, the total partition function is Z = (Z1)^N / (N!).

So Ensemble average of energy is <E> = (1/Z) * e * exp(-e/kt).

This is my solution.

Is this right or not?

2. Z1 = 1+exp(-e/kT)

Because of identical these Fermion -> Z = 1/2 * Z1^2

...But it should be changed due to property of Fermion.

The first identical particle can occupy E=0,e , so Z1 = 1+exp(-e/kT).

Then, if first particle occupy state which state energy is 0, Z2 can only exp(-e/kT).

Therefore partition function is (1+exp(-e/kT))*(-e/kT).

And another sitution is first particle occupy energy e state.

Then, another partition function is (1+exp(-e/kT)*1.

I thought this is connected by linearly

Final partition function is Z = 1/2 * (1/2*((1+exp(-e/kT))*(-e/kT)+ (1+exp(-e/kT)*1))

But I believe something is wrong this second problem.

What's the wrong?
 
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  • #2


I would like to provide some feedback on your solution attempt.

1. Your solution for the first problem seems to be correct. The partition function for a system with two energy states is indeed Z = 1 + exp(-e/kT). However, the expression for the ensemble average of energy should be <E> = (1/Z) * [0*exp(0) + e*exp(-e/kT)] = e/(1+exp(-e/kT)), as there are two possible energy states and the probability of each state is given by the Boltzmann factor.

2. For the second problem, the partition function for a system of identical fermions should take into account the Pauli exclusion principle, which states that no two identical fermions can occupy the same energy state. Therefore, the partition function for two identical fermions in two energy states would be Z = (1+exp(-e/kT))*(1+exp(-e/kT-1)), as the first fermion can occupy either energy state and the second fermion can occupy the remaining energy state. This can be extended to N identical fermions as Z = (1+exp(-e/kT))^N * (1+exp(-e/kT-1))^N / N!. The ensemble average of energy can then be calculated as <E> = (1/Z) * [0*exp(0) + e*exp(-e/kT) + 2e*exp(-2e/kT)] = 2e/(1+exp(-e/kT))^2, taking into account the possible combinations of energy states that the fermions can occupy.

Overall, your solution shows a good understanding of the concept of partition function and the differences between identical bosons, fermions, and Boltzmann particles. The only mistake was in the expression for the ensemble average of energy in the first problem. Keep up the good work!
 

1. What is a partition function problem?

A partition function problem is a mathematical concept used in statistical mechanics, which is the study of the behavior of large systems of particles. It involves calculating the probability of a system being in a particular state based on the energy levels of its individual particles.

2. Why are partition functions important?

Partition functions are important because they allow us to calculate important thermodynamic properties of a system, such as temperature, entropy, and free energy. They also help us understand the behavior of complex systems and make predictions about their behavior.

3. How do you solve a partition function problem?

Solving a partition function problem involves using mathematical equations and statistical methods to calculate the probability of a system being in a particular state. This can be a complex process and may require advanced mathematical techniques such as integration and probability theory.

4. What types of systems can partition functions be applied to?

Partition functions can be applied to a wide range of systems, including gases, liquids, solids, and even complex systems such as biomolecules. They are also used in various fields such as chemistry, physics, and biology.

5. Are there any limitations to partition function calculations?

Yes, there are limitations to partition function calculations. These include assumptions made about the system, simplifications made in the mathematical equations, and the complexity of the system itself. Additionally, for very large systems, the calculations may become computationally intensive and require advanced techniques.

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