Markov branching processes with disasters: extinction, survival and duality to p-jump processes

Fuente: arXiv
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Main Authors: Hermann, F., Pfaffelhuber, P.
Format: Preprint
Published: 2018
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author Hermann, F.
Pfaffelhuber, P.
author_facet Hermann, F.
Pfaffelhuber, P.
contents A $p$-jump process is a piecewise deterministic Markov process with jumps by a factor of $p$. We prove a limit theorem for such processes on the unit interval. Via duality with respect to probability generating functions, we deduce limiting results for the survival probabilities of time-homogeneous branching processes with arbitrary offspring distributions, underlying binomial disasters. Extending this method, we obtain corresponding results for time-inhomogeneous birth-death processes underlying time-dependent binomial disasters and continuous state branching processes with $p$-jumps.
format Preprint
id arxiv_https___arxiv_org_abs_1808_00073
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Markov branching processes with disasters: extinction, survival and duality to p-jump processes
Hermann, F.
Pfaffelhuber, P.
Probability
60J80 (Primary) 60J75, 60F10 (Secondary)
A $p$-jump process is a piecewise deterministic Markov process with jumps by a factor of $p$. We prove a limit theorem for such processes on the unit interval. Via duality with respect to probability generating functions, we deduce limiting results for the survival probabilities of time-homogeneous branching processes with arbitrary offspring distributions, underlying binomial disasters. Extending this method, we obtain corresponding results for time-inhomogeneous birth-death processes underlying time-dependent binomial disasters and continuous state branching processes with $p$-jumps.
title Markov branching processes with disasters: extinction, survival and duality to p-jump processes
topic Probability
60J80 (Primary) 60J75, 60F10 (Secondary)
url https://arxiv.org/abs/1808.00073