Diffusion approximation of critical controlled multi-type branching processes

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Hauptverfasser: Barczy, Matyas, González, Miguel, Martín-Chávez, Pedro, del Puerto, Inés
Format: Preprint
Veröffentlicht: 2023
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author Barczy, Matyas
González, Miguel
Martín-Chávez, Pedro
del Puerto, Inés
author_facet Barczy, Matyas
González, Miguel
Martín-Chávez, Pedro
del Puerto, Inés
contents Branching processes form an important family of stochastic processes that have been successfully applied in many fields. In this paper, we focus our attention on controlled multi-type branching processes (CMBPs). A Feller-type diffusion approximation is derived for some critical CMBPs. Namely, we consider a sequence of appropriately scaled random step functions formed from a critical CMBP with control distributions having expectations that satisfy a kind of linearity assumption. It is proved that such a sequence converges weakly toward a squared Bessel process supported by a ray determined by an eigenvector of a matrix related to the offspring mean matrix and the control distributions of the branching process in question. As applications, among others, we derive Feller-type diffusion approximations of critical, primitive multi-type branching processes with immigration and some two-sex branching processes. We also describe the asymptotic behaviour of the relative frequencies of distinct types of individuals for critical CMBPs.
format Preprint
id arxiv_https___arxiv_org_abs_2304_06958
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Diffusion approximation of critical controlled multi-type branching processes
Barczy, Matyas
González, Miguel
Martín-Chávez, Pedro
del Puerto, Inés
Probability
60J80, 60F17
Branching processes form an important family of stochastic processes that have been successfully applied in many fields. In this paper, we focus our attention on controlled multi-type branching processes (CMBPs). A Feller-type diffusion approximation is derived for some critical CMBPs. Namely, we consider a sequence of appropriately scaled random step functions formed from a critical CMBP with control distributions having expectations that satisfy a kind of linearity assumption. It is proved that such a sequence converges weakly toward a squared Bessel process supported by a ray determined by an eigenvector of a matrix related to the offspring mean matrix and the control distributions of the branching process in question. As applications, among others, we derive Feller-type diffusion approximations of critical, primitive multi-type branching processes with immigration and some two-sex branching processes. We also describe the asymptotic behaviour of the relative frequencies of distinct types of individuals for critical CMBPs.
title Diffusion approximation of critical controlled multi-type branching processes
topic Probability
60J80, 60F17
url https://arxiv.org/abs/2304.06958