Mean field approximation and entropy

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The discussion focuses on deriving the entropy of a D-dimensional Ising model using Stirling's approximation and understanding the number of microstates associated with a specific magnetization. Participants clarify that while the total number of spin configurations is indeed 2^N, the entropy must account for the configurations that yield a specific magnetization m, leading to a more complex expression for entropy. The correct formula for entropy, S/N, involves logarithmic terms that emerge from combinatorial calculations of spin configurations. The factor of log 2 arises from the algebraic manipulation of the number of states, specifically when applying Stirling's approximation multiple times. The conversation emphasizes the importance of accurately counting microstates to derive the correct entropy expression for the system.
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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