March 2012 Persistence and equilibria of branching populations with exponential intensity
Zakhar Kabluchko
Author Affiliations +
J. Appl. Probab. 49(1): 226-244 (March 2012). DOI: 10.1239/jap/1331216844

Abstract

We consider a system of independent branching random walks on R which start from a Poisson point process with intensity of the form eλ(du) = eudu, where λ ∈ R is chosen in such a way that the overall intensity of particles is preserved. Denote by χ the cluster distribution, and let φ be the log-Laplace transform of the intensity of χ. If λφ'(λ) > 0, we show that the system is persistent, meaning that the point process formed by the particles in the nth generation converges as n → ∞ to a non-trivial point process Πeλχ with intensity eλ. If λφ'(λ) < 0 then the branching population suffers local extinction, meaning that the limiting point process is empty. We characterize point processes on R which are cluster invariant with respect to the cluster distribution χ as mixtures of the point processes Πceλχ over c > 0 and λ ∈ Kst, where Kst = {λ ∈ R: φ(λ) = 0, λφ'(λ) > 0}.

Citation

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Zakhar Kabluchko. "Persistence and equilibria of branching populations with exponential intensity." J. Appl. Probab. 49 (1) 226 - 244, March 2012. https://doi.org/10.1239/jap/1331216844

Information

Published: March 2012
First available in Project Euclid: 8 March 2012

zbMATH: 1255.60154
MathSciNet: MR2952892
Digital Object Identifier: 10.1239/jap/1331216844

Subjects:
Primary: 60J80
Secondary: 60G55

Keywords: Branching random walk , cluster invariant point process , equilibrium state , exponential intensity , Local extinction , Persistence , Poisson point process

Rights: Copyright © 2012 Applied Probability Trust

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Vol.49 • No. 1 • March 2012
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