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The Classificat,on of States for Markov Chain in Random Environments and m-irreducible
引用本文:WANG Weigang HU Dihe. The Classificat,on of States for Markov Chain in Random Environments and m-irreducible[J]. 武汉大学学报:自然科学英文版, 2007, 12(3): 402-406. DOI: 10.1007/S11859-006-0068-3
作者姓名:WANG Weigang HU Dihe
作者单位:[1]School of Mathematics and Statistics, Wuhan University,Wuhan 430072, Hubei, China; [2]School of Mathematics and Statistics, Yunnan University,Kunming 650091, Yunnan, China
基金项目:Supported by the National Natural Science Foundation of China ( 10371092) and the Foundation of Wuhan University
摘    要:


关 键 词:随机环境 马尔可夫链 m-不可约分 分类
文章编号:1007-1202(2007)02-04C2-05
收稿时间:2005-06-08
修稿时间:2006-06-15

The classification of states for Markov chain in random environments and m-irreducible
Wang Weigang,Hu Dihe. The classification of states for Markov chain in random environments and m-irreducible[J]. Wuhan University Journal of Natural Sciences, 2007, 12(3): 402-406. DOI: 10.1007/S11859-006-0068-3
Authors:Wang Weigang  Hu Dihe
Affiliation:(1) School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, Hubei, China;(2) School of Mathematics and Statistics, Yunnan University, Kunming, 650091, Yunnan, China
Abstract:
First of all, we introduces the concept of m-irreducible of Markov chain in random environment. Then under the condition of m-irreducible, the relationship of recurrent and positive recurrent between two states is studied. We also give several conditions that can imply a state is recurrent and positive recurrent. And then the period of a state is discussed and we obtained that under the condition of m-irreducible, for any two states in x, they have the same period.
Keywords:Markov chain in random environment   m-irreducible  recurrent stat   transient state   positive recurrent
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