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Autori principali: Fang, Zhe-Kang, Mao, Yong-Hua
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2408.05662
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author Fang, Zhe-Kang
Mao, Yong-Hua
author_facet Fang, Zhe-Kang
Mao, Yong-Hua
contents This paper studies the quasi-stationary distributions for a single death process (or downwardly skip-free process) with killing defined on the non-negative integers, corresponding to a non-conservative transition rate matrix. The set $\{1,2,3,\cdots\}$ constitutes an irreducible class and $0$ is an absorbing state. For the single death process with three kinds of killing term, we obtain the existence and uniqueness of the quasi-stationary distribution. Moreover, we derive the conditions for exponential convergence to the quasi-stationary distribution in the total variation norm. Our main approach is based on the Doob's $h$-transform, potential theory and probabilistic methods.
format Preprint
id arxiv_https___arxiv_org_abs_2408_05662
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quasi-stationary distributions for single death processes with killing
Fang, Zhe-Kang
Mao, Yong-Hua
Probability
This paper studies the quasi-stationary distributions for a single death process (or downwardly skip-free process) with killing defined on the non-negative integers, corresponding to a non-conservative transition rate matrix. The set $\{1,2,3,\cdots\}$ constitutes an irreducible class and $0$ is an absorbing state. For the single death process with three kinds of killing term, we obtain the existence and uniqueness of the quasi-stationary distribution. Moreover, we derive the conditions for exponential convergence to the quasi-stationary distribution in the total variation norm. Our main approach is based on the Doob's $h$-transform, potential theory and probabilistic methods.
title Quasi-stationary distributions for single death processes with killing
topic Probability
url https://arxiv.org/abs/2408.05662