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transfer_matrix [2021/04/29 19:57] Scott Lawrence [Transfer matrix] |
transfer_matrix [2021/04/29 20:03] (current) Scott Lawrence [Transfer matrix] |
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| We can derive a (Euclidean) path integral for this Hamiltonian by starting from the thermal partition function and inserting many copies of the identity operator $\left|0\right> | We can derive a (Euclidean) path integral for this Hamiltonian by starting from the thermal partition function and inserting many copies of the identity operator $\left|0\right> | ||
| \begin{equation} | \begin{equation} | ||
| - | Z(\beta) = \tr | + | Z(\beta) = \operatorname{Tr} e^{-\beta H} |
| + | = \operatorname{Tr} \left(e^{-\beta H / N}\right)^N | ||
| + | = \sum_{s_1, | ||
| \end{equation} | \end{equation} | ||
| + | Here we have introduced $T \equiv e^{-\beta H / N}$, the transfer matrix. The final expression has the form of a path integral, as $\langle s' | T | s \rangle$ can be written $e^{-J s' s}$ for some $J$ (a function of $\mu$). As a result, we have derived a Euclidean action of the form | ||
| + | \begin{equation} | ||
| + | S = -J \sum_{\langle i j \rangle} s_i s_j\text, | ||
| + | \end{equation} | ||
| + | and we see that the two-level system lets us solve the one-dimensional Ising model! | ||
| This story can be told in reverse, where we start from an apparently difficult high-dimensional integral (like the Ising model in one dimension), and reduce it to a low-dimension matrix by expressing it in terms of a transfer matrix. | This story can be told in reverse, where we start from an apparently difficult high-dimensional integral (like the Ising model in one dimension), and reduce it to a low-dimension matrix by expressing it in terms of a transfer matrix. | ||