How to find the partition function of the 1D Ising model?

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The discussion centers on deriving the partition function for the 1D Ising model, starting from the expression involving binomial coefficients and exponential terms. The initial derivation leads to the result Z = (2 cosh(βJ))^N, but there is confusion regarding the factor of 2 compared to the expected answer of Z = (cosh(βJ))^N. Participants are questioning whether the provided answer is incorrect or if additional steps are needed to reconcile the discrepancy. Clarification is sought on how to eliminate the factor of 2 from the final expression. The conversation highlights the importance of accurately interpreting the derivation steps in statistical mechanics.
Dom Tesilbirth
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Homework Statement
Consider a one-dimensional Ising model with ##N## spins at very low temperature. Let there be ##r## spin flips with each costing energy ##2J##. The total energy of the system is ##E=-NJ+2rJ## and the number of configurations is ##C(N, r)##, where ##r## varies from ##0## to ##N##. Find the partition function.
Relevant Equations
##E=-NJ+2rJ## and
##Z=\sum ^{N}_{r=0}C\left( N,r\right) e^{-\beta \left[ -NJ+2rJ\right] }##
Attempt at a solution:

\begin{aligned}Z=\sum ^{N}_{r=0}C\left( N,r\right) e^{-\beta \left[ -NJ+2rJ\right] }\\
\Rightarrow Z=e^{\beta NJ}\sum ^{N}_{r=0}C\left( N,r\right) e^{-2\beta rJ}\end{aligned}

Let ##e^{-2\beta J}=x##. Then ##e^{-2\beta rJ}=x^{r}##.

\begin{aligned}\therefore Z=e^{\beta NJ}\sum ^{N}_{r=0}C(N, r)x^{r}\\
\Rightarrow Z=e^{\beta NJ}\left( 1+x\right) ^{N}=\left( e^{\beta J}+e^{\beta J}e^{-2\beta J}\right) ^{N}\\
\Rightarrow Z=\left( e^{\beta J}+e^{-\beta J}\right) ^{N}\\
\Rightarrow Z=\left( 2\cosh\beta J\right) ^{N}\end{aligned}

However, the answer provided is ##Z=\left(\cosh \beta J\right) ^{N}##. How do we remove the factor ##2##? Was the given answer wrong, or is there something that I still need to do?
 
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Dom Tesilbirth said:
How do we remove the factor ##2##? Was the given answer wrong, or is there something that I still need to do?
Factor 2 seems to be right.

ref. https://en.wikipedia.org/wiki/Ising_model
 
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