Open Access
2021 Trait-dependent branching particle systems with competition and multiple offspring
Gabriel Berzunza, Anja Sturm, Anita Winter
Author Affiliations +
Electron. J. Probab. 26: 1-41 (2021). DOI: 10.1214/21-EJP707

Abstract

In this work we model the dynamics of a population that evolves as a continuous time branching process with a trait structure and ecological interactions in form of mutations and competition between individuals. We generalize existing microscopic models by allowing individuals to have multiple offspring at a reproduction event. Furthermore, we allow the reproduction law to be influenced both by the trait type of the parent as well as by the mutant trait type.

We look for tractable large population approximations. More precisely, under some natural assumption on the branching and mutation mechanisms, we establish a superprocess limit as the solution of a well-posed martingale problem. Standard approaches do not apply in our case due to the lack of the branching property, which is a consequence of the dependency created by the competition between individuals. In order to show uniqueness we therefore had to develop a generalization of Dawson’s Girsanov Theorem that may be of independent interest.

Funding Statement

Supported by the DFG-SPP Priority Programme 1590, Probabilistic Structures in Evolution.

Citation

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Gabriel Berzunza. Anja Sturm. Anita Winter. "Trait-dependent branching particle systems with competition and multiple offspring." Electron. J. Probab. 26 1 - 41, 2021. https://doi.org/10.1214/21-EJP707

Information

Received: 21 December 2018; Accepted: 21 September 2021; Published: 2021
First available in Project Euclid: 6 December 2021

Digital Object Identifier: 10.1214/21-EJP707

Subjects:
Primary: 60J68 , 60J80 , 60K35

Keywords: adaptive dynamics , branching process , competition-mutation dynamics , Darwinian evolution , Interacting particle system , limit theorem , nonlinear superprocesses

Vol.26 • 2021
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