{"title":"Global central limit theorems for Markov chains","authors":"Christophe Cuny , Michael Lin","doi":"10.1016/j.spa.2025.104709","DOIUrl":null,"url":null,"abstract":"<div><div>Let <span><math><mi>P</mi></math></span> be a Markov operator on a general state space <span><math><mrow><mo>(</mo><mi>S</mi><mo>,</mo><mi>Σ</mi><mo>)</mo></mrow></math></span> with invariant probability <span><math><mi>m</mi></math></span>, assumed ergodic. We study conditions which yield that for <em>every</em> centered <span><math><mrow><mn>0</mn><mo>≠</mo><mi>f</mi><mo>∈</mo><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub><mrow><mo>(</mo><mi>m</mi><mo>)</mo></mrow></mrow></math></span> a non-degenerate annealed CLT and an <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>-normalized CLT hold.</div></div>","PeriodicalId":51160,"journal":{"name":"Stochastic Processes and their Applications","volume":"190 ","pages":"Article 104709"},"PeriodicalIF":1.2000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Processes and their Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304414925001504","RegionNum":2,"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 be a Markov operator on a general state space with invariant probability , assumed ergodic. We study conditions which yield that for every centered a non-degenerate annealed CLT and an -normalized CLT hold.
期刊介绍:
Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.