Compute 1D Ising Correlation w/ Periodic, Anti-Periodic BDs

[decerto]

Homework Statement

Compute correlation functions ##<\sigma_r \sigma_{r+l}>## for the 1D Ising model of length L with the follow BD conditions

(i) Periodic
(ii) Anti-Periodic
(iii) ##\sigma_1 = \sigma_{L+1}=1##
(iv) ##\sigma_1= -\sigma_{L+1}=1##

Homework Equations

##<\sigma_r \sigma_{r+l}> = \displaystyle\frac{1}{Z}\sum_{\sigma_l=\pm 1}^{L-1}e^{K(\sum_{k=1}^{L-1}\sigma_k \sigma_{k+1} +\sigma_1 \sigma_{L+1})} \sigma_r \sigma_{r+l}##

The Attempt at a Solution

[/B]
I know how to compute the partition function for the periodic case as its fairly common and I have a solution to computing the correlation function to http://www.colorado.edu/physics/phys7240/phys7240_fa14/notes/Week1.pdf although I don't understand how he goes from 1.11 to 1.12.But these solutions use the Trace of the transfer matrix which I am pretty sure is unique to the periodic BD conditions. Any help on how to compute these in general would be appreciated as I missed the lecture on it.

 

[jitu16]

Did you understood the transfer matrix technique? the first n-1 spin sum just becomes the normal trace of the transfer matrix. But then you have [itex]\sigma_m[/itex], but the possible value of [itex]\sigma_m[/itex] are 1 and -1, with introduction of pauli matrix(+1 and -1 remember?), it just becomes a normal trace once again.

 

[decerto]

Did you understood the transfer matrix technique? the first n-1 spin sum just becomes the normal trace of the transfer matrix. But then you have [itex]\sigma_m[/itex], but the possible value of [itex]\sigma_m[/itex] are 1 and -1, with introduction of pauli matrix(+1 and -1 remember?), it just becomes a normal trace once again.

Can you explain why this explicit calculation of the 1D model with 3 sites and periodic BDs is incorrect

##Z=\displaystyle\sum_{\sigma_1=\pm1}\sum_{\sigma_2=\pm1}\sum_{\sigma_3=\pm1}e^{K(\sum_{k=1}^2\sigma_k \sigma_{k+1} + \sigma_3 \sigma_1)}##

##=\displaystyle\sum_{\sigma_1=\pm1}\sum_{\sigma_2=\pm1}\sum_{\sigma_3=\pm1}e^{K(\sigma_1 \sigma_2 + \sigma_2 \sigma_3 + \sigma_3 \sigma_1)}##

##=\displaystyle\sum_{\sigma_1=\pm1}\sum_{\sigma_2=\pm1}e^{K(\sigma_1 \sigma_2 + \sigma_2 + \sigma_1)}+e^{K(\sigma_1 \sigma_2 + -\sigma_2 + -\sigma_1)}##

##=\displaystyle\sum_{\sigma_1=\pm1}e^{K(\sigma_1 + 1 + \sigma_1)}+e^{K(\sigma_1 -1 + -\sigma_1)}+e^{K(-\sigma_1 -1 + \sigma_1)}+e^{K(-\sigma_1+ 1 + -\sigma_1)}##

##=e^{K(1 + 1 + 1)}+e^{K(1 -1 + -1)}+e^{K(-1 -1 + 1)}+e^{K(-1+ 1 + -1)}+e^{K(-1 + 1 + -1)}+e^{K(-1 -1 + 1)}+e^{K(1 -1 -1)}+e^{K(1+ 1 + 1)}##

##=e^{K(3)}+e^{K(-1)}+e^{K(-1)}+e^{K(-1)}+e^{K(-1)}+e^{K(-1)}+e^{K(-1)}+e^{K(3)}##

##=2e^{3K}+6e^{-K}##

nvm It's correct, I guess I don't understand how the transfer matrix works, I thought it was dependant on periodic BDs to get the trace

 

[jitu16]

Which boundary condition are you referring to?? If it's periodic then your calculation is right but if it's anti-periodic then your calculation is wrong.