Pirogov--Sinai Theory Beyond Lattices

Fuente: arXiv
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Autori principali: Cannon, Sarah, Helmuth, Tyler, Perkins, Will
Natura: Preprint
Pubblicazione: 2024
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author Cannon, Sarah
Helmuth, Tyler
Perkins, Will
author_facet Cannon, Sarah
Helmuth, Tyler
Perkins, Will
contents Pirogov--Sinai theory is a well-developed method for understanding the low-temperature phase diagram of statistical mechanics models on lattices. Motivated by physical and algorithmic questions beyond the setting of lattices, we develop a combinatorially flexible version of Pirogov--Sinai theory for the hard-core model of independent sets. Our results illustrate that the main conclusions of Pirogov--Sinai theory can be obtained in significantly greater generality than that of $\mathbb Z^{d}$. The main ingredients in our generalization are combinatorial and involve developing appropriate definitions of contours based on the notion of cycle basis connectivity. This is inspired by works of Timár and Georgakopoulos--Panagiotis.
format Preprint
id arxiv_https___arxiv_org_abs_2411_07809
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Pirogov--Sinai Theory Beyond Lattices
Cannon, Sarah
Helmuth, Tyler
Perkins, Will
Probability
Data Structures and Algorithms
Mathematical Physics
Pirogov--Sinai theory is a well-developed method for understanding the low-temperature phase diagram of statistical mechanics models on lattices. Motivated by physical and algorithmic questions beyond the setting of lattices, we develop a combinatorially flexible version of Pirogov--Sinai theory for the hard-core model of independent sets. Our results illustrate that the main conclusions of Pirogov--Sinai theory can be obtained in significantly greater generality than that of $\mathbb Z^{d}$. The main ingredients in our generalization are combinatorial and involve developing appropriate definitions of contours based on the notion of cycle basis connectivity. This is inspired by works of Timár and Georgakopoulos--Panagiotis.
title Pirogov--Sinai Theory Beyond Lattices
topic Probability
Data Structures and Algorithms
Mathematical Physics
url https://arxiv.org/abs/2411.07809