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The Limit Theorems for Function of Markov Chains in the Environment of Single Infinite Markovian Systems

机译:单无限马尔可夫系统环境下马尔可夫链函数的极限定理

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摘要

This paper is intended to study the limit theorem of Markov chain function in the environment of single infinite Markovian systems. Moreover, the problem of the strong law of large numbers in the infinite environment is presented by means of constructing martingale differential sequence for the measurement under some different sufficient conditions. If the sequence of even functions gn satisfies different conditions when the value ranges of x are different, we have obtained SLLN for function of Markov chain in the environment of single infinite Markovian systems. In addition, the paper studies the strong convergence of the weighted sums of function for finite state Markov Chains in single infinitely Markovian environments. Although the similar conclusions have been carried out, the difference results performed by previous scholars are that we give weaker different sufficient conditions of the strong convergence of weighted sums compared with the previous conclusions.
机译:本文旨在研究单无限马尔可夫系统环境下马尔可夫链函数的极限定理。此外,通过构造马丁格尔微分序列,提出了在一些不同充分条件下进行测量的无穷环境下大数强定律问题。当x的值范围不同时,偶数函数gn的序列满足不同的条件,我们得到了单无限马尔可夫系统环境下马尔可夫链函数的SLLN。此外,本文还研究了有限状态马尔可夫链在单个无限马尔可夫环境中的加权函数和的强收敛性.尽管已经得出了类似的结论,但前人得出的差异结果是,与以前的结论相比,我们给出了加权和强收敛性较弱的不同充分条件。

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