Extinction probabilities in branching processes with countably many types: a general framework

Autor: Daniela Bertacchi, Peter Braunsteins, Sophie Hautphenne, Fabio Zucca
Přispěvatelé: Bertacchi, D, Braunsteins, P, Hautphenne, S, Zucca, F
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: We consider Galton-Watson branching processes with countable typeset $\mathcal{X}$. We study the vectors ${\bf q}(A)=(q_x(A))_{x\in\mathcal{X}}$ recording the conditional probabilities of extinction in subsets of types $A\subseteq \mathcal{X}$, given that the type of the initial individual is $x$. We first investigate the location of the vectors ${\bf q}(A)$ in the set of fixed points of the progeny generating vector and prove that $q_x(\{x\})$ is larger than or equal to the $x$th entry of any fixed point, whenever it is different from 1. Next, we present equivalent conditions for $q_x(A)< q_x (B)$ for any initial type $x$ and $A,B\subseteq \mathcal{X}$. Finally, we develop a general framework to characterise all \emph{distinct} extinction probability vectors, and thereby to determine whether there are finitely many, countably many, or uncountably many distinct vectors. We illustrate our results with examples, and conclude with open questions.
33 pages, 7 figures
Databáze: OpenAIRE