Mean field approximation and entropy

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Homework Help Overview

The discussion revolves around the entropy of a D-dimensional Ising model defined by a specific Hamiltonian. Participants are examining how to derive the entropy expression using Stirling's approximation and the implications of magnetization on the number of microstates.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the total number of spin configurations and question how to account for the entropy beyond the initial term of ##N \log 2##. There are discussions about using combinatorial methods to count states corresponding to a specific magnetization, as well as the application of Stirling's approximation.

Discussion Status

Some participants have made progress in deriving the entropy expression, while others are seeking clarification on the counting of microstates and the origin of specific terms in the entropy formula. There is an ongoing exploration of different methods to arrive at the correct expression for entropy.

Contextual Notes

Participants note that the problem may not be introductory and express uncertainty about the counting method for states in the context of the Ising model. There is also mention of the need for careful algebraic manipulation to arrive at the correct results.

CAF123
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Homework Statement


Consider a D dimensional Ising model with N sites, defined by the Hamiltonian $$\mathcal H = -J \sum_{\langle i j \rangle} \sigma_i \sigma_j - h \sum_i \sigma_i$$ where the sum extends over nearest neighbours and each spin variable ##\sigma_i = \pm 1##. For a given spin configuration we denote the number of spins up and spins down by ##N_+## and ##N_-## respectively. The magnetisation is defined by ##m=(N_+ - N_-)/N##

a) Using Stirling's approximation, show that the entropy of the system can be written as $$S/N = \log 2 - \frac{1}{2} (1+m) \log(1+m) - \frac{1}{2} (1-m) \log(1-m)$$ and that in the mean field approximation $$f(T,m) = -\frac{1}{2} Jzm^2 + \frac{1}{2} T((1+m) \log(1+m) - (1-m) \log(1-m)) - T\log 2$$

Homework Equations


$$S = \ln \Omega,$$ in units of ##k_B=1##

The Attempt at a Solution


There are N sites and on each site, the spin can be up or down. So isn't the total number of spin configurations (or number of microstates) just ##2^N##? This would give ##S = N \log 2##, the first term in that expansion but I don't see how the other terms come about.

Thanks!
 
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This doesn't seem like an introductory homework, but in any case I got the first part to work by using ## \Omega=N!/((N_+)!(N_-)!) ## . The number of states is apparently given by the number of possible combinations that can create a given ## m ##. It's an exercise in algebra, but their answer for S is correct.
 
Hi Charles Link,
Charles Link said:
This doesn't seem like an introductory homework, but in any case I got the first part to work by using ## \Omega=N!/((N_+)!(N_-)!) ## . The number of states is apparently given by the number of possible combinations that can create a given ## m ##. It's an exercise in algebra, but their answer for S is correct.
Ah ok. I tried this expression for ##\Omega## and I did not seem to get the correct result - in particular where would the factor of log 2 come from?

Thanks!
 
The factor of ## \ln 2 ## (it's actually ## N \ln 2 ## ) is what is left over after a lot of terms cancel. If I remember correctly ## N_+=N(1+m)/2 ## and ## N_-=N(1-m)/2 ## There are several places where you use ## N=N_+ + N_- ## and when you take ## \ln(\Omega) ## , Stirling's formula is used 3 times. (twice in the denominator). If you are careful with the algebra, I think you will get the same result. (I think the ## N \ln(2) ## comes from the 1/2's in the denominators of ## N_+ ## and ## N_- ##, but I'd need to look again at my calculations to be sure.)
 
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I see. thanks! The only thing I don't understand is why would the number of states be counted in this way? If I just count the number of spin configurations then the total number of states would be ##2^N## if I can distinguish between the spins. Then this would yield an entropy with only the first term present. Any ideas?
 
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I had Statistical and Thermal physics (we used the book by F. Reif), quite a number of years ago. If the spins are in a lattice, I think your way of counting them might be appropriate, but I am certainly no expert. I picked the method of the combinations simply because it then resulted in the book's answer.
 
Charles Link said:
I had Statistical and Thermal physics (we used the book by F. Reif), quite a number of years ago. If the spins are in a lattice, I think your way of counting them might be appropriate, but I am certainly no expert. I picked the method of the combinations simply because it then resulted in the book's answer.
I see, thanks anyway! ok maybe we can await an answer from someone else, @TSny maybe? I thought my spins were on a lattice no? I imagined the Ising model in D dim to be like a hypercubic with spins placed on the nodes of the cubes.
 
The spins are on a lattice.

2N represents the total number of possible micro states. You want the entropy corresponding to a particular value of magnetization m. Only a subset of the 2N possible micro states have the magnetization m. Charles gave you an expression for the number of micro states Ω in the subset. If you use his expression you should get the desired expression for S/N corresponding to a magnetization m.
 
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