Markov chains conditioned never to wait too long at the origin
Saul Jacka

TL;DR
This paper studies Markov chains conditioned to avoid long waits at the origin, establishing weak limits and convergence properties under various conditions, inspired by Feller's coin-tossing problem.
Contribution
It introduces new results on the existence and nature of weak limits for Markov chains conditioned on avoiding long waits at a state, extending previous understanding.
Findings
Weak limit exists for finite or transient state spaces.
Conditions for weak limit existence in general cases.
Vague convergence to a defective limit under certain tail conditions.
Abstract
Motivated by Feller's coin-tossing problem, we consider the problem of conditioning an irreducible Markov chain never to wait too long at 0. Denoting by the first time that the chain, , waits for at least one unit of time at the origin, we consider conditioning the chain on the event . We show there is a weak limit as in the cases where either the statespace is finite or is transient. We give sufficient conditions for the existence of a weak limit in other cases and show that we have vague convergence to a defective limit if the time to hit zero has a lighter tail than and is subexponential.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Advanced Queuing Theory Analysis
