On ergodicity of general Markov chains
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  • 作者:Vytautas Kazakevi?ius (1)
  • 关键词:Markov chains ; invariant functions ; ergodic probabilities ; ergodic decomposition
  • 刊名:Lithuanian Mathematical Journal
  • 出版年:2014
  • 出版时间:October 2014
  • 年:2014
  • 卷:54
  • 期:4
  • 页码:429-446
  • 全文大小:261 KB
  • 参考文献:1. P. Billingsley, / Convergence of Probability Measures, Wiley, New York, 1968.
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    5. Y. Kifer, / Ergodic Theory of Random Transformations, Birkh?user, Boston, 1986. CrossRef
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    9. D. Revuz, / Markov Chains, North Holland, Amsterdam, New York, Oxford, 1984.
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  • 作者单位:Vytautas Kazakevi?ius (1)

    1. Faculty of Mathematics and Informatics, Vilnius University, Naugarduko str. 24, LT-03225, Vilnius, Lithuania
  • ISSN:1573-8825
文摘
We consider ergodic properties of general Markov chains evolving on a separable measurable space E (with no topological or irreducibility assumptions) and extend some known results in the case of a standard measurable space E to this general framework. We also give simpler proofs of some known results.

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