Skip to main content
added 126 characters in body
Source Link
P. C. Spaniel
  • 4.7k
  • 1
  • 16
  • 53

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

When computing the mean value $\langle H^2 \rangle$

\begin{equation} \langle H^2\rangle=J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

I started to wonder if every term in this sum is non-zero. for example, terms where $i=k, j=l$ give a contribution of $2J^2N$ because $\sigma_i \sigma_j \sigma_k \sigma_l=1$ and one is left out with a sum over pairs of sites. Using the fact that $\sum_{\sigma=-1}^1\sigma^2=2$ and $\sum_{\sigma=-1}^1\sigma=0$ is there any argument to determine if some combinations of $i,j,k,l$ don't contribute to the mean value? I

Edit: I would like to find possible constraints on the values of $i,j,k,l$ in the summation of $\langle H^2 \rangle$be really interested in order to reduce the sums.knowing, for example, how much this term is

\begin{equation} \langle H^2\rangle_{i=j}= J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l\ \delta_{ik} \end{equation}

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

When computing the mean value $\langle H^2 \rangle$

\begin{equation} \langle H^2\rangle=J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

I started to wonder if every term in this sum is non-zero. for example, terms where $i=k, j=l$ give a contribution of $2J^2N$ because $\sigma_i \sigma_j \sigma_k \sigma_l=1$ and one is left out with a sum over pairs of sites. Using the fact that $\sum_{\sigma=-1}^1\sigma^2=2$ and $\sum_{\sigma=-1}^1\sigma=0$ is there any argument to determine if some combinations of $i,j,k,l$ don't contribute to the mean value? I would like to find possible constraints on the values of $i,j,k,l$ in the summation of $\langle H^2 \rangle$ in order to reduce the sums.

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

When computing the mean value $\langle H^2 \rangle$

\begin{equation} \langle H^2\rangle=J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

I started to wonder if every term in this sum is non-zero. for example, terms where $i=k, j=l$ give a contribution of $2J^2N$ because $\sigma_i \sigma_j \sigma_k \sigma_l=1$ and one is left out with a sum over pairs of sites. Using the fact that $\sum_{\sigma=-1}^1\sigma^2=2$ and $\sum_{\sigma=-1}^1\sigma=0$ is there any argument to determine if some combinations of $i,j,k,l$ don't contribute to the mean value?

Edit: I would be really interested in knowing, for example, how much this term is

\begin{equation} \langle H^2\rangle_{i=j}= J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l\ \delta_{ik} \end{equation}

added 397 characters in body
Source Link
P. C. Spaniel
  • 4.7k
  • 1
  • 16
  • 53

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

When computing the mean value $\langle H^2 \rangle$

\begin{equation} \langle H^2\rangle=J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

I was wonderingstarted to wonder if every term in this sum is non-zero. Forfor example, the specific termterms where $i=k$ is

\begin{equation} H^2_{i=k}=J^2\sum_{<i,j>}\sum_{<k,l>} \sigma_j\ \sigma_l \end{equation}

since$i=k, j=l$ give a contribution of $\sigma_i^2=1$$2J^2N$ because $\sigma_i \sigma_j \sigma_k \sigma_l=1$ and one is left out with a sum over pairs of sites. IsUsing the fact that $\sum_{\sigma=-1}^1\sigma^2=2$ and $\sum_{\sigma=-1}^1\sigma=0$ is there any argument to say that this term is zero? Any way of separating $H^2$ into contributions of differentdetermine if some combinations of $i,j,k,l$ don't contribute to the mean value? I would belike to find possible constraints on the values of great help$i,j,k,l$ in the summation of $\langle H^2 \rangle$ in order to reduce the sums.

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

I was wondering if every term in this sum is non-zero. For example, the specific term $i=k$ is

\begin{equation} H^2_{i=k}=J^2\sum_{<i,j>}\sum_{<k,l>} \sigma_j\ \sigma_l \end{equation}

since $\sigma_i^2=1$. Is there any argument to say that this term is zero? Any way of separating $H^2$ into contributions of different combinations of $i,j,k,l$ would be of great help.

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

When computing the mean value $\langle H^2 \rangle$

\begin{equation} \langle H^2\rangle=J^2\frac{1}{Z}\sum_{\{\sigma\}}e^{-\beta H}\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

I started to wonder if every term in this sum is non-zero. for example, terms where $i=k, j=l$ give a contribution of $2J^2N$ because $\sigma_i \sigma_j \sigma_k \sigma_l=1$ and one is left out with a sum over pairs of sites. Using the fact that $\sum_{\sigma=-1}^1\sigma^2=2$ and $\sum_{\sigma=-1}^1\sigma=0$ is there any argument to determine if some combinations of $i,j,k,l$ don't contribute to the mean value? I would like to find possible constraints on the values of $i,j,k,l$ in the summation of $\langle H^2 \rangle$ in order to reduce the sums.

added 158 characters in body
Source Link
P. C. Spaniel
  • 4.7k
  • 1
  • 16
  • 53

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

I was wondering if every term in this sum is non-zero. For example, the specific term $i=k$ is

\begin{equation} H^2_{i=k}=J^2\sum_{<i,j>}\sum_{<k,l>} \sigma_j\ \sigma_l \end{equation}

since $\sigma_i^2=1$. Is there any argument to say that this term is zero? Any way of separating $H^2$ into contributions of different combinations of $i,j,k,l$ would be of great help.

I happened to come across the following term

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

I was wondering if every term in this sum is non-zero. For example, the specific term $i=k$ is

\begin{equation} H^2_{i=k}=J^2\sum_{<i,j>}\sum_{<k,l>} \sigma_j\ \sigma_l \end{equation}

since $\sigma_i^2=1$. Is there any argument to say that this term is zero?

I happened to come across the following term while doing an excercise on perturbation theory

\begin{equation} H^2=J^2\sum_{<i,j>}\sum_{<k,l>}\sigma_i\ \sigma_j\ \sigma_k\ \sigma_l \end{equation}

Where $H$ is the Ising Hamiltonian, $J$ is the coupling constant, $\sigma_I=\pm1$ and $<i,j>$ means sum over neighbouring sites.

I was wondering if every term in this sum is non-zero. For example, the specific term $i=k$ is

\begin{equation} H^2_{i=k}=J^2\sum_{<i,j>}\sum_{<k,l>} \sigma_j\ \sigma_l \end{equation}

since $\sigma_i^2=1$. Is there any argument to say that this term is zero? Any way of separating $H^2$ into contributions of different combinations of $i,j,k,l$ would be of great help.

Source Link
P. C. Spaniel
  • 4.7k
  • 1
  • 16
  • 53
Loading