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Model of Markov Chains in Space-Time Random Environments
引用本文:YANG Guangyu HU Dihe. Model of Markov Chains in Space-Time Random Environments[J]. 武汉大学学报:自然科学英文版, 2007, 12(2): 225-229. DOI: 10.1007/s11859-006-0012-6
作者姓名:YANG Guangyu 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)
摘    要:A general framework of stochastic model for a Markov chain in a space-time random environment is introduced, here the environment ξ^*:={ξ1,x∈N,x∈ X}is a random field. We study the dependence relations between the environment and the original chain, especially the "feedback". Some equivalence theorems and law of large numbers are obtained.

关 键 词:空时随机环境 马尔可夫链 反馈 数学模型
文章编号:1007-1202(2007)02-0225-05
收稿时间:2006-03-18

Model of Markov chains in space-time random environments
Yang Guangyu,Hu Dihe. Model of Markov chains in space-time random environments[J]. Wuhan University Journal of Natural Sciences, 2007, 12(2): 225-229. DOI: 10.1007/s11859-006-0012-6
Authors:Yang Guangyu  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:A general framework of stochastic model for a Markov chain in a space-time random environment is introduced, here the environment ξ *:= {ξ t,x, t ∈ N, x ∈ χ} is a random field. We study the dependence relations between the environment and the original chain, especially the “feedback”. Some equivalence theorems and law of large numbers are obtained. Biography: YANG Guangyu(1979-), male, Ph.D.candidate, research direction: stochastic process and random fractals.
Keywords:Markov chains in space-time random environments  feedback   Markovian environments
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