Crossref journal-article
Wiley
Random Structures & Algorithms (311)
Abstract

AbstractWe generalize previously known conditions for uniqueness of the Gibbs measure in statistical physics models by presenting conditions of any finite size for models on any underlying graph. We give two dual conditions, one requiring that the total influenceona site is small, and the other that the total influenceofa site is small. Our proofs are combinatorial in nature and use tools from the analysis of discrete Markov chains, in particular the path coupling method. The implications of our conditions for the mixing time of natural Markov chains associated with the models are discussed as well. We also present some examples of models for which the conditions hold. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2005

Bibliography

Weitz, D. (2005). Combinatorial criteria for uniqueness of Gibbs measures. Random Structures & Algorithms, 27(4), 445–475. Portico.

Authors 1
  1. Dror Weitz (first)
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Dates
Type When
Created 20 years, 3 months ago (May 24, 2005, 3:09 p.m.)
Deposited 8 months ago (Jan. 1, 2025, 4:58 a.m.)
Indexed 4 months, 3 weeks ago (April 9, 2025, 12:50 p.m.)
Issued 20 years, 3 months ago (May 24, 2005)
Published 20 years, 3 months ago (May 24, 2005)
Published Online 20 years, 3 months ago (May 24, 2005)
Published Print 19 years, 9 months ago (Dec. 1, 2005)
Funders 0

None

@article{Weitz_2005, title={Combinatorial criteria for uniqueness of Gibbs measures}, volume={27}, ISSN={1098-2418}, url={http://dx.doi.org/10.1002/rsa.20073}, DOI={10.1002/rsa.20073}, number={4}, journal={Random Structures & Algorithms}, publisher={Wiley}, author={Weitz, Dror}, year={2005}, month=may, pages={445–475} }