Preferential relocations enhance survival for Markov chains with killing

Fuente: arXiv
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Autori principali: Bertoin, Jean, Minchev, Martin
Natura: Preprint
Pubblicazione: 2026
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author Bertoin, Jean
Minchev, Martin
author_facet Bertoin, Jean
Minchev, Martin
contents We investigate the impact on survival of a modification of the evolution of a sub-stochastic Markov chain that involves random relocations at previously visited states. Our central result is that such preferential relocations increase the persistence rate, meaning the survival probability decays more slowly than for the benchmark chain without relocations, and this improvement is strict under mild assumptions. We derive explicit lower bounds on the ratio of persistence rates when the relocation distribution is highly dispersed. The analysis relies on ergodic properties of so-called chains with complete connections, and a Feynman--Kac approach to estimate persistence.
format Preprint
id arxiv_https___arxiv_org_abs_2605_29030
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Preferential relocations enhance survival for Markov chains with killing
Bertoin, Jean
Minchev, Martin
Probability
60J05, 60J10, 60F10, 37A30, 37A50
We investigate the impact on survival of a modification of the evolution of a sub-stochastic Markov chain that involves random relocations at previously visited states. Our central result is that such preferential relocations increase the persistence rate, meaning the survival probability decays more slowly than for the benchmark chain without relocations, and this improvement is strict under mild assumptions. We derive explicit lower bounds on the ratio of persistence rates when the relocation distribution is highly dispersed. The analysis relies on ergodic properties of so-called chains with complete connections, and a Feynman--Kac approach to estimate persistence.
title Preferential relocations enhance survival for Markov chains with killing
topic Probability
60J05, 60J10, 60F10, 37A30, 37A50
url https://arxiv.org/abs/2605.29030