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双无限环境中马氏链的状态分类

Classification of States for Markov Chains in Random Envronments
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摘要 在引进一系列与随机环境中的马氏链相关的概率特性函数,我们可以得到这些函数之间的一系列关系。 After introducing seuerai basic function of the probability character for Markov Chains in random environments, we can obtain a series of relations among these functions.
作者 黄振生
机构地区 池州师专数学系
出处 《芜湖职业技术学院学报》 2006年第3期7-9,共3页 Journal of Wuhu Institute of Technology
关键词 随机环境中马氏链 强常返 一致可达 Markov Chains in random environments strongly recurrence uniform accessibility.
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