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Ergodicity Coefficient and Ergodic Properties of Inhomogeneous Markov Chains in Ordered Normed Spaces with a Base

机译:具有基的有序赋范空间中非齐次马氏链的遍历系数和遍历性质

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摘要

It is well known that transition probability is an important notion in the theory of Markov processes. This probability determines a linear operator, which is called a Markov operator and acts on some L~1 -space. The study of the entire process can be reduced to the study of the limit behavior of the corresponding Markov operator. On the other hand, research in many fields of mathematics and natural sciences necessitates studying inhomogeneous Markov processes. Weak ergodicity is one of the main notions in this context.
机译:众所周知,转移概率是马尔可夫过程理论中的一个重要概念。该概率确定线性算子,该算子称为马尔可夫算子并且作用于某些L〜1空间。整个过程的研究可以简化为相应Markov算子的极限行为的研究。另一方面,在数学和自然科学的许多领域中的研究都需要研究非均匀的马尔可夫过程。弱遍历性是这种情况下的主要概念之一。

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