Multitype branching processes in random environments with not strictly positive expectation matrices

Fuente: arXiv
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Hauptverfasser: Orgoványi, Vilma, Simon, Károly
Format: Preprint
Veröffentlicht: 2024
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author Orgoványi, Vilma
Simon, Károly
author_facet Orgoványi, Vilma
Simon, Károly
contents It is well known that under some conditions the almost sure survival probability of a multitype branching processes in random environment is positive if the Lyapunov exponent corresponding to the expectation matrices is positive, and zero if the Lyapunov exponent is negative. The goal of this note is to establish similar results when certain positivity conditions on the expectation matrices are not met. One application of such a result is to classify the positivity of Lebesgue measure of certain overlapping random self-similar sets in the line.
format Preprint
id arxiv_https___arxiv_org_abs_2401_12767
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multitype branching processes in random environments with not strictly positive expectation matrices
Orgoványi, Vilma
Simon, Károly
Probability
Dynamical Systems
60J80, 60J85 (Primary) 28A80 (Secondary)
It is well known that under some conditions the almost sure survival probability of a multitype branching processes in random environment is positive if the Lyapunov exponent corresponding to the expectation matrices is positive, and zero if the Lyapunov exponent is negative. The goal of this note is to establish similar results when certain positivity conditions on the expectation matrices are not met. One application of such a result is to classify the positivity of Lebesgue measure of certain overlapping random self-similar sets in the line.
title Multitype branching processes in random environments with not strictly positive expectation matrices
topic Probability
Dynamical Systems
60J80, 60J85 (Primary) 28A80 (Secondary)
url https://arxiv.org/abs/2401.12767