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

Authors :
Bertacchi, Daniela
Braunsteins, Peter
Hautphenne, Sophie
Zucca, Fabio
Source :
ALEA. Latin American Journal of Probability & Mathematical Statistics. 2022, Vol. 19 Issue 1, p311-338. 28p.
Publication Year :
2022

Abstract

We consider Galton-Watson branching processes with countable typeset X. We study the vectors q(A) = (qx(A))x∈X recording the conditional probabilities of extinction in subsets of types A ⊆ X, given that the type of the initial individual is x. We first investigate the location of the vectors q(A) in the set of fixed points of the progeny generating vector and prove that qx({x}) is larger than or equal to the xth entry of any fixed point, whenever it is different from 1. Next, we present equivalent conditions for qx(A) < qx(B) for any initial type x and A, B ⊆ X. Finally, we develop a general framework to characterise all 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19800436
Volume :
19
Issue :
1
Database :
Academic Search Index
Journal :
ALEA. Latin American Journal of Probability & Mathematical Statistics
Publication Type :
Academic Journal
Accession number :
159201738
Full Text :
https://doi.org/10.30757/ALEA.v19-12