{"title":"Uniqueness and statistical properties of the Gibbs state on general one-dimensional lattices with markovian structure","authors":"V. Vargas","doi":"10.1142/s0219493723500387","DOIUrl":null,"url":null,"abstract":"Let $M$ be a compact metric space and $X = M^{\\mathbb{N}}$, we consider a set of admissible sequences $X_{A, I} \\subset X$ determined by a continuous admissibility function $A : M \\times M \\to \\mathbb{R}$ and a compact set $I \\subset \\mathbb{R}$. Given a Lipschitz continuous potential $\\varphi : X_{A, I} \\to \\mathbb{R}$, we prove uniqueness of the Gibbs state $\\mu_\\varphi$ and we show that it is a Gibbs-Bowen measure and satisfies a central limit theorem.","PeriodicalId":51170,"journal":{"name":"Stochastics and Dynamics","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastics and Dynamics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1142/s0219493723500387","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
Let $M$ be a compact metric space and $X = M^{\mathbb{N}}$, we consider a set of admissible sequences $X_{A, I} \subset X$ determined by a continuous admissibility function $A : M \times M \to \mathbb{R}$ and a compact set $I \subset \mathbb{R}$. Given a Lipschitz continuous potential $\varphi : X_{A, I} \to \mathbb{R}$, we prove uniqueness of the Gibbs state $\mu_\varphi$ and we show that it is a Gibbs-Bowen measure and satisfies a central limit theorem.
期刊介绍:
This interdisciplinary journal is devoted to publishing high quality papers in modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system''s point of view.
Papers can be about theory, experiments, algorithms, numerical simulation and applications. Papers studying the dynamics of stochastic phenomena by means of random or stochastic ordinary, partial or functional differential equations or random mappings are particularly welcome, and so are studies of stochasticity in deterministic systems.