Open Access
October 2007 Coexistence in locally regulated competing populations and survival of branching annihilating random walk
Jochen Blath, Alison Etheridge, Mark Meredith
Ann. Appl. Probab. 17(5-6): 1474-1507 (October 2007). DOI: 10.1214/105051607000000267

Abstract

We propose two models of the evolution of a pair of competing populations. Both are lattice based. The first is a compromise between fully spatial models, which do not appear amenable to analytic results, and interacting particle system models, which do not, at present, incorporate all of the competitive strategies that a population might adopt. The second is a simplification of the first, in which competition is only supposed to act within lattice sites and the total population size within each lattice point is a constant. In a special case, this second model is dual to a branching annihilating random walk. For each model, using a comparison with oriented percolation, we show that for certain parameter values, both populations will coexist for all time with positive probability. As a corollary, we deduce survival for all time of branching annihilating random walk for sufficiently large branching rates. We also present a number of conjectures relating to the rôle of space in the survival probabilities for the two populations.

Citation

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Jochen Blath. Alison Etheridge. Mark Meredith. "Coexistence in locally regulated competing populations and survival of branching annihilating random walk." Ann. Appl. Probab. 17 (5-6) 1474 - 1507, October 2007. https://doi.org/10.1214/105051607000000267

Information

Published: October 2007
First available in Project Euclid: 3 October 2007

zbMATH: 1145.92032
MathSciNet: MR2358631
Digital Object Identifier: 10.1214/105051607000000267

Subjects:
Primary: 60K35
Secondary: 60J70 , 60J80 , 60J85 , 92D25

Keywords: branching annihilating random walk , Coexistence , Competing species , Feller diffusion , heteromyopia , Interacting diffusions , regulated population , Stepping stone model , survival , Wright–Fisher diffusion

Rights: Copyright © 2007 Institute of Mathematical Statistics

Vol.17 • No. 5-6 • October 2007
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