Extinction probabilities in branching processes with countably many types: a general framework
Daniela Bertacchi, Peter Braunsteins, Sophie Hautphenne, Fabio Zucca

TL;DR
This paper develops a comprehensive framework for analyzing extinction probabilities in multitype Galton-Watson processes with infinitely many types, characterizing the structure and number of distinct extinction probability vectors.
Contribution
It introduces a general method to identify and classify all distinct extinction probability vectors in countably many types, extending classical results to infinite type spaces.
Findings
Characterization of fixed points of the progeny generating vector.
Conditions for strict inequalities between extinction probabilities.
Framework to determine the cardinality of the set of extinction probability vectors.
Abstract
We consider Galton-Watson branching processes with countable typeset . We study the vectors recording the conditional probabilities of extinction in subsets of types , given that the type of the initial individual is . We first investigate the location of the vectors in the set of fixed points of the progeny generating vector and prove that is larger than or equal to the th entry of any fixed point, whenever it is different from 1. Next, we present equivalent conditions for for any initial type and . 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…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Bayesian Methods and Mixture Models · Algorithms and Data Compression
