A Durrett-Remenik particle system in $\mathbb{R}^d$

Fuente: arXiv
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Main Author: Atar, Rami
Format: Preprint
Published: 2025
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author Atar, Rami
author_facet Atar, Rami
contents This paper studies a branching-selection model of motionless particles in $\mathbb{R}^d$, with nonlocal branching, introduced by Durrett and Remenik in dimension $1$. The assumptions on the fitness function, $F$, and on the inhomogeneous branching distribution, are mild. The evolution equation for the macroscopic density is given by an integro-differential free boundary problem in $\mathbb{R}^d$, in which the free boundary represents the least $F$-value in the population. The main result is the characterization of the limit in probability of the empirical measure process in terms of the unique solution to this free boundary problem.
format Preprint
id arxiv_https___arxiv_org_abs_2507_13990
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Durrett-Remenik particle system in $\mathbb{R}^d$
Atar, Rami
Probability
This paper studies a branching-selection model of motionless particles in $\mathbb{R}^d$, with nonlocal branching, introduced by Durrett and Remenik in dimension $1$. The assumptions on the fitness function, $F$, and on the inhomogeneous branching distribution, are mild. The evolution equation for the macroscopic density is given by an integro-differential free boundary problem in $\mathbb{R}^d$, in which the free boundary represents the least $F$-value in the population. The main result is the characterization of the limit in probability of the empirical measure process in terms of the unique solution to this free boundary problem.
title A Durrett-Remenik particle system in $\mathbb{R}^d$
topic Probability
url https://arxiv.org/abs/2507.13990