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The Strong Law of Large Numbers and the Entropy Ergodic Theorem for Nonhomogeneous Bifurcating Markov Chains Indexed by a Binary Tree

机译:二叉树索引的非齐叉分叉马尔可夫链的大数强定律和熵遍历定理

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摘要

Guyon (Guyon J. Limit theorems for bifurcating Markov chains. Application to the detection of cellular aging. Ann Appl Probab, 2007, 17: 1538-1569) introduced an important model for homogeneous bifurcating Markov chains indexed by a binary tree taking values in general state space and studied their limit theorems. The results were applied to detect cellular aging. In this paper, we define a discrete form of nonhomogeneous bifurcating Markov chains indexed by a binary tree and discuss the equivalent properties for them. The strong law of large numbers and the entropy ergodic theorem are studied for these Markov chains with finite state space. In contrast to previous work, we use a new approach to prove the main results of this paper.
机译:Guyon(Guyon J.分支马尔可夫链的极限定理。在细胞衰老检测中的应用。Ann Appl Probab,2007,17:1538-1569)介绍了一个重要的模型,该模型是用二叉树索引的齐次分支马尔可夫链的一般值。状态空间并研究了它们的极限定理。结果被用于检测细胞衰老。在本文中,我们定义了由二叉树索引的不均匀分支马尔可夫链的离散形式,并讨论了它们的等效性质。研究了这些有限状态空间的马尔可夫链的强大数定律和熵遍历定理。与以前的工作相反,我们使用一种新的方法来证明本文的主要结果。

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