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An exactly solvable ansatz for statistical mechanics models

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We propose a family of ‘exactly solvable’ probability distributions to approximate partition functions of two-dimensional statistical mechanics models. While these distributions lie strictly outside the mean-field framework, their free energies… Click to show full abstract

We propose a family of ‘exactly solvable’ probability distributions to approximate partition functions of two-dimensional statistical mechanics models. While these distributions lie strictly outside the mean-field framework, their free energies can be computed in a time that scales linearly with the system size. This construction is based on a simple but nontrivial solution to the marginal problem. We formulate two non-linear constraints on the set of locally consistent marginal probabilities that simultaneously (i) ensure the existence of a consistent global probability distribution and (ii) lead to an exact expression for the maximum global entropy.

Keywords: mechanics models; statistical mechanics; ansatz statistical; exactly solvable; mechanics; solvable ansatz

Journal Title: Journal of Statistical Mechanics: Theory and Experiment
Year Published: 2021

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