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Random population dynamics under catastrophic events

Published online by Cambridge University Press:  15 August 2022

Patrick Cattiaux*
Affiliation:
Université de Toulouse
Jens Fischer*
Affiliation:
Université de Toulouse and Universität Potsdam
Sylvie Rœlly*
Affiliation:
Universität Potsdam
Samuel Sindayigaya*
Affiliation:
Institut d’Enseignement Supérieur de Ruhengeri
*
*Postal address: Institut de Mathématiques de Toulouse, CNRS UMR 5219, Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse CEDEX 9, France. Email address: patrick.cattiaux@math.univ-toulouse.fr
**Postal address: Institut de Mathématiques de Toulouse, CNRS UMR 5219, Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse CEDEX 9, France; Institut für Mathematik der Universität Potsdam, Karl-Liebknecht-Str. 24–25, 14476 Potsdam OT Golm, Germany. Email address: jens.fischer@math.univ-toulouse.fr
***Postal address: Institut für Mathematik der Universität Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam OT Golm, Germany. Email address: roelly@math.uni-potsdam.de
****Postal address: Institut d’Enseignement Supérieur de Ruhengeri, Musanze Street NM 155, PO Box 155, Ruhengeri, Rwanda. Email address: sindasam12@gmail.com

Abstract

In this paper we introduce new birth-and-death processes with partial catastrophe and study some of their properties. In particular, we obtain some estimates for the mean catastrophe time, and the first and second moments of the distribution of the process at a fixed time t. This is completed by some asymptotic results.

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Applied Probability Trust

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