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Main Authors: Liu, Kuikui, Mani, Nitya, Pernice, Francisco
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2411.06541
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author Liu, Kuikui
Mani, Nitya
Pernice, Francisco
author_facet Liu, Kuikui
Mani, Nitya
Pernice, Francisco
contents In a seminal paper, Weitz showed that for two-state spin systems, such as the Ising and hardcore models from statistical physics, correlation decay on trees implies correlation decay on arbitrary graphs. The key gadget in Weitz's reduction has been instrumental in recent advances in approximate counting and sampling, from analysis of local Markov chains like Glauber dynamics to the design of deterministic algorithms for estimating the partition function. A longstanding open problem in the field has been to find such a reduction for more general multispin systems like the uniform distribution over proper colorings of a graph. In this paper, we show that for a rich class of multispin systems, including the ferromagnetic Potts model, there are fundamental obstacles to extending Weitz's reduction to the multispin setting. A central component of our investigation is establishing nonconvexity of the image of the belief propagation functional, the standard tool for analyzing spin systems on trees. On the other hand, we provide evidence of convexity for the antiferromagnetic Potts model.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06541
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Counterexamples to a Weitz-Style Reduction for Multispin Systems
Liu, Kuikui
Mani, Nitya
Pernice, Francisco
Data Structures and Algorithms
Probability
In a seminal paper, Weitz showed that for two-state spin systems, such as the Ising and hardcore models from statistical physics, correlation decay on trees implies correlation decay on arbitrary graphs. The key gadget in Weitz's reduction has been instrumental in recent advances in approximate counting and sampling, from analysis of local Markov chains like Glauber dynamics to the design of deterministic algorithms for estimating the partition function. A longstanding open problem in the field has been to find such a reduction for more general multispin systems like the uniform distribution over proper colorings of a graph. In this paper, we show that for a rich class of multispin systems, including the ferromagnetic Potts model, there are fundamental obstacles to extending Weitz's reduction to the multispin setting. A central component of our investigation is establishing nonconvexity of the image of the belief propagation functional, the standard tool for analyzing spin systems on trees. On the other hand, we provide evidence of convexity for the antiferromagnetic Potts model.
title Counterexamples to a Weitz-Style Reduction for Multispin Systems
topic Data Structures and Algorithms
Probability
url https://arxiv.org/abs/2411.06541