{"title":"A note on the antisymmetry in the speed of a random walk in reversible dynamic random environment","authors":"O. Blondel","doi":"10.1214/23-ecp514","DOIUrl":null,"url":null,"abstract":"In this short note, we prove that $v(-\\epsilon)=-v(\\epsilon)$. Here, $v(\\epsilon)$ is the speed of a one-dimensional random walk in a dynamic \\emph{reversible} random environment, that jumps to the right (resp. to the left) with probability $1/2+\\epsilon$ (resp. $1/2-\\epsilon$) if it stands on an occupied site, and vice-versa on an empty site. We work in any setting where $v(\\epsilon), v(-\\epsilon)$ are well-defined, i.e. a weak LLN holds. The proof relies on a simple coupling argument that holds only in the discrete setting.","PeriodicalId":50543,"journal":{"name":"Electronic Communications in Probability","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Communications in Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/23-ecp514","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 1
Abstract
In this short note, we prove that $v(-\epsilon)=-v(\epsilon)$. Here, $v(\epsilon)$ is the speed of a one-dimensional random walk in a dynamic \emph{reversible} random environment, that jumps to the right (resp. to the left) with probability $1/2+\epsilon$ (resp. $1/2-\epsilon$) if it stands on an occupied site, and vice-versa on an empty site. We work in any setting where $v(\epsilon), v(-\epsilon)$ are well-defined, i.e. a weak LLN holds. The proof relies on a simple coupling argument that holds only in the discrete setting.
期刊介绍:
The Electronic Communications in Probability (ECP) publishes short research articles in probability theory. Its sister journal, the Electronic Journal of Probability (EJP), publishes full-length articles in probability theory. Short papers, those less than 12 pages, should be submitted to ECP first. EJP and ECP share the same editorial board, but with different Editors in Chief.