{"title":"Infinite 𝑝-adic random matrices and ergodic decomposition of 𝑝-adic Hua measures","authors":"T. Assiotis","doi":"10.1090/tran/8526","DOIUrl":null,"url":null,"abstract":"Neretin constructed an analogue of the Hua measures on the infinite $p$-adic matrices $Mat\\left(\\mathbb{N},\\mathbb{Q}_p\\right)$. Bufetov and Qiu classified the ergodic measures on $Mat\\left(\\mathbb{N},\\mathbb{Q}_p\\right)$ that are invariant under the natural action of $GL(\\infty,\\mathbb{Z}_p)\\times GL(\\infty,\\mathbb{Z}_p)$. In this paper we solve the problem of ergodic decomposition for the $p$-adic Hua measures introduced by Neretin. We prove that the probability measure governing the ergodic decomposition has an explicit expression which identifies it with a Hall-Littlewood measure on partitions. Our arguments involve certain Markov chains.","PeriodicalId":8470,"journal":{"name":"arXiv: Probability","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1090/tran/8526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Neretin constructed an analogue of the Hua measures on the infinite $p$-adic matrices $Mat\left(\mathbb{N},\mathbb{Q}_p\right)$. Bufetov and Qiu classified the ergodic measures on $Mat\left(\mathbb{N},\mathbb{Q}_p\right)$ that are invariant under the natural action of $GL(\infty,\mathbb{Z}_p)\times GL(\infty,\mathbb{Z}_p)$. In this paper we solve the problem of ergodic decomposition for the $p$-adic Hua measures introduced by Neretin. We prove that the probability measure governing the ergodic decomposition has an explicit expression which identifies it with a Hall-Littlewood measure on partitions. Our arguments involve certain Markov chains.