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Stochastics
An International Journal of Probability and Stochastic Processes
Volume 94, 2022 - Issue 5
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Research Article

A zero-one law for Markov chains

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Pages 680-697 | Received 27 Nov 2020, Accepted 02 Sep 2021, Published online: 28 Sep 2021
 

Abstract

We prove an analogue of the classical zero-one law for both homogeneous and nonhomogeneous Markov chains (MC). Its almost precise formulation is simple: given any event A from the tail σ-algebra of MC (Zn), for large n, with probability near one, the trajectories of the MC are in states i, where P(A|Zn=i) is either near 0 or near 1. A similar statement holds for the entrance σ-algebra when n tends to . To formulate this second result, we give detailed results on the existence of nonhomogeneous Markov chains indexed by Z or Z in both the finite and countable cases. This extends a well-known result due to Kolmogorov. Further, in our discussion, we note an interesting dichotomy between two commonly used definitions of MCs.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work of M. Grabchak was supported in part by Russian Science Foundation Project No. 17-11-01098.

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