随机环境中马氏链的特征数与禁止概率OA
Characteristic Number and Taboo Probability of Markov Chains in Random Environments
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。
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.
崔静
安徽师范大学数学计算机科学学院,安徽芜湖241000
数学
随机环境中马氏链禁止概率强常返特征数
Markov chains in ramdom environmentsTaboo probabilitystrong recurrencecharacteristic number
《四川理工学院学报：自然科学版》 2012 (2)
74-76,3
安徽省教育厅自然科学基金项目（KJ2011z147）
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