A new criterion for recurrence of Markov chains with an infinitely countable set of states

For a class of irreducible Markov chains with an infinitely countable set of states, we establish a new verifiable necessary and sufficient condition for recurrence. We show that if one of the basic assumptions is not satisfied, then the statement of the theorem becomes invalid.

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Publication Details

Journal
Theory of Probability and Mathematical Statistics
Published
2025-05-09
DOI
https://doi.org/10.1090/tpms/1224
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
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article

A new criterion for recurrence of Markov chains with an infinitely countable set of states

Vyacheslav M. Abramov
Theory of Probability and Mathematical Statistics
Markov Chains and Monte Carlo Methods
article

A new criterion for recurrence of Markov chains with an infinitely countable set of states

Vyacheslav M. Abramov
article en

Abstract

For a class of irreducible Markov chains with an infinitely countable set of states, we establish a new verifiable necessary and sufficient condition for recurrence. We show that if one of the basic assumptions is not satisfied, then the statement of the theorem becomes invalid.

Theory of Probability and Mathematical StatisticsVol. 112(0)
Openalex Percentile: Top 90%
Markov Chains and Monte Carlo Methods
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A new criterion for recurrence of Markov chains with an infinitely countable set of states — Vyacheslav M. Abramov · Theory of Probability and Mathematical Statistics (2025) | TGRS Research Map | TGRS