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Counting in two-spin models on d-regular graphs

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Sly, Allan
Sun, Nike

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Institute of Mathematical Statistics

Abstract

We establish that the normalized log-partition function of any two-spin system on bipartite locally tree-like graphs converges to a limiting “free energy density” which coincides with the (nonrigorous) Bethe prediction of statistical physics. Using this result, we characterize the local structure of two-spin systems on locally tree-like bipartite expander graphs without the use of the second moment method employed in previous works on these questions. As a consequence, we show that for both the hard-core model and the anti-ferromagnetic Ising model with arbitrary external field, it is NP-hard to approximate the partition function or approximately sample from the model on d-regular graphs when the model has nonuniqueness on the d-regular tree. Together with results of Jerrum–Sinclair, Weitz, and Sinclair–Srivastava– Thurley, this gives an almost complete classification of the computational complexity of homogeneous two-spin systems on bounded-degree graphs.

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The Annals of Probability

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Open Access

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