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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