Exponential convergence to quasi-stationary distribution and \(Q\)-process

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Publication:2634900

DOI10.1007/S00440-014-0611-7zbMATH Open1334.60015arXiv1404.1349OpenAlexW1968548276MaRDI QIDQ2634900

Author name not available (Why is that?)

Publication date: 10 February 2016

Published in: (Search for Journal in Brave)

Abstract: For general, almost surely absorbed Markov processes, we obtain necessary and sufficient conditions for exponential convergence to a unique quasi-stationary distribution in the total variation norm. These conditions also ensure the existence and exponential ergodicity of the Q-process (the process conditioned to never be absorbed). We apply these results to one-dimensional birth and death processes with catastrophes, multi-dimensional birth and death processes, infinite-dimensional population models with Brownian mutations and neutron transport dynamics absorbed at the boundary of a bounded domain.


Full work available at URL: https://arxiv.org/abs/1404.1349



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