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The Classification of States for Markov Chain in Random Environments and m-irreducible
引用本文:WANG Weigang1,HU Dihe1,2 1. School of Mathematics and Statistics,Wuhan University,Wuhan 430072,Hubei,China, 2. School of Mathematics and Statistics,Yunnan University,Kunming 650091,Yunnan,China. The Classification 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, 0(3)
作者姓名:WANG Weigang1  HU Dihe1  2 1. School of Mathematics and Statistics  Wuhan University  Wuhan 430072  Hubei  China   2. School of Mathematics and Statistics  Yunnan University  Kunming 650091  Yunnan  China
作者单位:WANG Weigang1,HU Dihe1,2 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),the Foundation of Wuhan University
摘    要:
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.


The Classification of States for Markov Chain in Random Environments and m-irreducible
WANG Weigang,HU Dihe, . School of Mathematics and Statistics,Wuhan University,Wuhan ,Hubei,China, . School of Mathematics and Statistics,Yunnan University,Kunming ,Yunnan,China. The Classification of States for Markov Chain in Random Environments and m-irreducible[J]. Wuhan University Journal of Natural Sciences, 2007, 0(3)
Authors:WANG Weigang  HU Dihe   . School of Mathematics  Statistics  Wuhan University  Wuhan   Hubei  China   . School of Mathematics  Statistics  Yunnan University  Kunming   Yunnan  China
Affiliation:WANG Weigang1,HU Dihe1,2 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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