{"title":"Exponential \\(\\Phi \\)-Mixing Implies Exponential \\(\\Psi \\)-Mixing For Markov Fields On Bounded Degree Graphs","authors":"Elias Zimmermann","doi":"10.1007/s10955-026-03630-1","DOIUrl":null,"url":null,"abstract":"<div><p>We show that for non-degenerate <i>k</i>-Markovian random fields with finite state space over a bounded degree graph with exponential growth rate <img>, uniform <img>-mixing with exponential decay rate <img> implies uniform <img>-mixing with exponential decay rate <img>. As an application we obtain exponential <img>-mixing for Gibbs fields on regular trees arising from finite range potentials such as the Ising model at low inverse temperature or the Potts model with sufficiently many spin states.</p></div>","PeriodicalId":667,"journal":{"name":"Journal of Statistical Physics","volume":"193 7","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10955-026-03630-1.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Physics","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s10955-026-03630-1","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, MATHEMATICAL","Score":null,"Total":0}
引用次数: 0
Abstract
We show that for non-degenerate k-Markovian random fields with finite state space over a bounded degree graph with exponential growth rate , uniform -mixing with exponential decay rate implies uniform -mixing with exponential decay rate . As an application we obtain exponential -mixing for Gibbs fields on regular trees arising from finite range potentials such as the Ising model at low inverse temperature or the Potts model with sufficiently many spin states.
期刊介绍:
The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.