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随机环境中马氏链的特征数与禁止概率
引用本文:崔静. 随机环境中马氏链的特征数与禁止概率[J]. 四川理工学院学报(自然科学版), 2012, 0(2): 74-76
作者姓名:崔静
作者单位:安徽师范大学数学计算机科学学院
基金项目:安徽省教育厅自然科学基金项目(KJ2011z147)
摘    要:利用马氏链的一般理论讨论了随机环境中马氏链的特征数和禁止概率的关系,给出了强常返状态特征数的分解公式,利用禁止概率的一般分解公式研究了分布矩的性质,丰富了现有文献中的随机环境中马氏链的相关结果。

关 键 词:随机环境中马氏链  禁止概率  强常返  特征数

Characteristic Number and Taboo Probability of Markov Chains in Random Environments
CUI Jing. Characteristic Number and Taboo Probability of Markov Chains in Random Environments[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2012, 0(2): 74-76
Authors:CUI Jing
Affiliation:CUI Jing(College of Mathematics and Computer Science,Anhui Normal University,Wuhu 241000,China)
Abstract:On the basic of the general theory of Markov Chains,relations between characteristic number and taboo probability of Markov chains in random enviroments are discussed and the decomposition of characteristic number of strong recurrence is given.The property of distribrution moments is obtained by means of the general decomposition formula of Taboo probability,which has enriched the correspanding result of Markov Chairs in randon envirionments described in literatures.
Keywords:Markov chains in ramdom environments  Taboo probability  strong recurrence  characteristic number
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