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A strong limit theorem for the average of ternary functions of Markov chains in bi-infinite random environments

机译:双无限随机环境中马氏链平均三元函数的强极限定理

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摘要

We consider strong limit theorems for Markov chains in bi-infinite random environments. We first give a new proof of a strong limit theorem of Liu and Yang (1995) on the average of functions of non-homogeneous Markov chains by constructing a nonnegative martingale. As corollaries, for a Markov chain in a bi-infinite random environment, we obtain strong limit theorems for the conditional relative entropy and for the number of times that the Markov chain and related processes reach a given point. (C) 2015 Elsevier B.V. All rights reserved.
机译:我们考虑双无限随机环境中马尔可夫链的强极限定理。我们首先通过构造一个非负mar,给出了Liu和Yang(1995)关于非齐次马氏链平均函数的强极限定理的一个新证明。作为推论,对于双无限随机环境中的马尔可夫链,我们获得了条件相对熵以及马尔可夫链和相关过程达到给定点的次数的强极限定理。 (C)2015 Elsevier B.V.保留所有权利。

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