Simple ising model: Magnetic susceptibility derivation

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The discussion focuses on deriving the expression for magnetic susceptibility in the 2D square Ising model, specifically relating it to the variance of magnetization. It highlights the importance of the partition function and how it can be used to calculate the average magnetization and its derivatives with respect to the external magnetic field H. The key steps involve differentiating the partition function Z to obtain expressions for the average magnetization M and its square M^2. This approach allows for the comparison needed to establish the relationship between susceptibility and the variance of magnetization. Understanding these derivations is crucial for grasping the underlying physics of the Ising model.
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I'm stuck on a question about deriving an expression for the magnetic susceptibility in terms of the variance of the magnetisation for a simple 2d square ising model.

I get the derivation of the specific heat, and I know am supposed to do something similar to get to the expression for susceptibility d<M>/dH. But how? Any help would be much appreciated.

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[beta is 1/KT]
 
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Well, take a look at the partition function for the Ising Model and what the average of some quantity A is:

Z = \sum_{\{S_i\}}\exp\left[K\sum_{&lt;i,j&gt;}S_iS_j + \beta H \sum_i S_i \right]

\langle A \rangle = Z^{-1}\ \sum_{\{S_i\}}A\exp\left[K\sum_{&lt;i,j&gt;}S_iS_j + \beta H \sum_i S_i \right]

Let the magnetization be M = \sum_i S_i . Note that if you take a derivative of Z with respect to H it brings down the sum over the S_i, so you get the average of M times Z. If you take two derivatives you get the average of M^2 times Z (up to some betas). Compare to the derivative of the average of M with respect to H to get the relation your source claims.
 
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