Branching random walk with non-local competition

Fuente: arXiv
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Hauptverfasser: Maillard, Pascal, Penington, Sarah
Format: Preprint
Veröffentlicht: 2022
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author Maillard, Pascal
Penington, Sarah
author_facet Maillard, Pascal
Penington, Sarah
contents We study the Bolker-Pacala-Dieckmann-Law (BPDL) model of population dynamics in the regime of large population density. The BPDL model is a particle system in which particles reproduce, move randomly in space, and compete with each other locally. We rigorously prove global survival as well as a shape theorem describing the asymptotic spread of the population, when the population density is sufficiently large. In contrast to most previous studies, we allow the competition kernel to have an arbitrary, even infinite range, whence the term non-local competition. This makes the particle system non-monotone and of infinite-range dependence, meaning that the usual comparison arguments break down and have to be replaced by a more hands-on approach. Some ideas in the proof are inspired by works on the non-local Fisher-KPP equation, but the stochasticity of the model creates new difficulties.
format Preprint
id arxiv_https___arxiv_org_abs_2209_14653
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Branching random walk with non-local competition
Maillard, Pascal
Penington, Sarah
Probability
60K35, 60J80 (Primary) 92D25 (Secondary)
We study the Bolker-Pacala-Dieckmann-Law (BPDL) model of population dynamics in the regime of large population density. The BPDL model is a particle system in which particles reproduce, move randomly in space, and compete with each other locally. We rigorously prove global survival as well as a shape theorem describing the asymptotic spread of the population, when the population density is sufficiently large. In contrast to most previous studies, we allow the competition kernel to have an arbitrary, even infinite range, whence the term non-local competition. This makes the particle system non-monotone and of infinite-range dependence, meaning that the usual comparison arguments break down and have to be replaced by a more hands-on approach. Some ideas in the proof are inspired by works on the non-local Fisher-KPP equation, but the stochasticity of the model creates new difficulties.
title Branching random walk with non-local competition
topic Probability
60K35, 60J80 (Primary) 92D25 (Secondary)
url https://arxiv.org/abs/2209.14653