{"title":"ASYMPTOTIC PROPERTIES WITH PROBABILITY 1 FOR ONE-DIMENSIONAL RANDOM WALKS IN A RANDOM ENVIRONMENT","authors":"A. V. Lëtchikov","doi":"10.1070/SM1993V074N02ABEH003356","DOIUrl":null,"url":null,"abstract":"Random walks in a random environment are considered on the set of integers when the moving particle can go at most steps to the right and at most steps to the left in a unit of time. The transition probabilities for such a random walk from a point are determined by the vector . It is assumed that the sequence is a sequence of independent identically distributed random vectors. Asymptotic properties with probability 1 are investigated for such a random process. An invariance principle and the law of the iterated logarithm for a product of independent random matrices are proved as auxiliary results.","PeriodicalId":208776,"journal":{"name":"Mathematics of The Ussr-sbornik","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics of The Ussr-sbornik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1070/SM1993V074N02ABEH003356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Random walks in a random environment are considered on the set of integers when the moving particle can go at most steps to the right and at most steps to the left in a unit of time. The transition probabilities for such a random walk from a point are determined by the vector . It is assumed that the sequence is a sequence of independent identically distributed random vectors. Asymptotic properties with probability 1 are investigated for such a random process. An invariance principle and the law of the iterated logarithm for a product of independent random matrices are proved as auxiliary results.