Partition function vs config integral

In summary, the partition function in classical statistical physics can be approximated with an integral over phase space, even though x and p are continuous variables. The choice of 1/(ΔxΔp)^3 is not crucial as it will drop out in the derivatives of log Z. Some books argue that ΔxΔp can be taken as h or hbar, but in reality, it doesn't matter as long as the logarithm is taken. This approximation is often used in computing integrals numerically.
  • #1
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In classical statistical physics we have the partition function:

Z=Ʃexp(-βEi)

But my book says you can approximate this with an integral over phase space:

Z=1/(ΔxΔp)3 ∫d3rd3p exp(-βE(r,t))

I agree that x and p are continuous variables. But who says that we are allowed to make this kind of discretization and what values are we choose for 1/(ΔxΔp)3 except for them being small?

I think my book is definitely hiding something from me, and using a rather lame argumentation in doing so.
 
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  • #2
For the most part, it doesn't matter. Everything that matters with the partition function comes from derivatives of log Z, which means that constant factors like 1/(ΔxΔp) will drop out. I've seen some books argue that (ΔxΔp) could be taken as approximately h or hbar, since that is sort of the "scale" of quantum effects.
 
  • #3
But ln(Z1) is not equal to ln(Z2) when Z1=Ʃexp(-βEi) and Z2=∫d3rd3p exp(-βE(r,t)) ?
 
  • #4
Yeah, it's an approximation. So it won't be exactly equal.
 
  • #5
still don't understand. Let's say you want the derivative of Ln(Z). Then you are saying that:
∂(Ʃexp(..))∂β ≈ ∂ln(∫exp(...))/∂β
 
  • #6
Yes, because choices of Δx and Δp drop out of such derivatives.

Large sums can often be approximated by integrals (are you familiar with the Riemann integral). For a typical partition function this approximation is not going to be very good at low temperatures, which you can see it in the math just from the fact at low temperature the terms for higher energy states have a very tiny contribution to the summation. But at high enough temperatures, where many terms contribute to the summation an integral can be a good enough approximation.
 
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  • #7
Maybe this will be a little more clear. The Riemann definition of the integral is something like this:
[tex]\int_0^\infty f(x) dx = \lim_{\Delta x \rightarrow 0} \sum_{n = 0}^{\infty} f(n \Delta x) \Delta x[/tex]

Rewriting
[tex]\frac{1}{\Delta x}\int_0^\infty f(x) dx = \lim_{\Delta x \rightarrow 0} \sum_{n = 0}^{\infty} f(n \Delta x) [/tex]

You can make this into an appoximation by dropping the limit:
[tex]\frac{1}{\Delta x}\int_0^\infty f(x) dx \approx \sum_{n = 0}^{\infty} f(n \Delta x) [/tex]

This is often done the other way; the computation of an integral numerically on a computer is approximation as a summation.
 
  • #8
okay makes sense. But since we are computing a partition function which sums over all states. How do we know what value to assign to Δx, or is this insignifanct as you say, because we are taking the log of Z?
 
  • #9
Well, one argument is that ΔxΔp should be about h, since that is a quantity that gives a scale relevant to quantum effects. But yeah, it doesn't actually matter because we take the logarithms.
 

What is the difference between partition function and configuration integral?

The partition function and configuration integral are both mathematical tools used in statistical mechanics to describe the thermodynamic properties of a system. The main difference between the two is that the partition function is a sum of all possible energy states of a system, while the configuration integral is an integral over all possible configurations of a system.

How are partition function and configuration integral related?

The partition function and configuration integral are mathematically related through the Boltzmann factor. The partition function is equal to the configuration integral multiplied by the Boltzmann factor, which takes into account the temperature and energy of the system.

What is the physical significance of the partition function and configuration integral?

The partition function and configuration integral are both measures of the probability of a system being in a certain energy state or configuration. They are used to calculate thermodynamic quantities such as internal energy, entropy, and free energy.

How do the partition function and configuration integral change with temperature?

The partition function and configuration integral are both affected by changes in temperature. As the temperature increases, the partition function and configuration integral will also increase, indicating that the system is more likely to be in higher energy states or configurations.

What are the limitations of using the partition function and configuration integral?

One limitation of using the partition function and configuration integral is that they assume a system is in thermal equilibrium, meaning that all energy states or configurations are equally likely. In reality, this may not always be the case. Additionally, these methods may not be applicable to systems with strong interactions or complex energy landscapes.

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