A Durrett–Remenik particle system in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e23"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>d</mml:mi>

This paper studies a branching-selection model of motionless particles in 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 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.

Authors

Institutions

Publication Details

Journal
Stochastic Processes and their Applications
Published
2025-10-24
DOI
https://doi.org/10.1016/j.spa.2025.104789
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Durrett–Remenik particle system in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e23"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>d</mml:mi>

Rami Atar
Stochastic Processes and their Applications
Stochastic processes and statistical mechanics
article

A Durrett–Remenik particle system in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e23"> <mml:msup> <mml:mrow> <mml:mi mathvariant="double-struck">R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>d</mml:mi>

Rami Atar
article en

Abstract

This paper studies a branching-selection model of motionless particles in 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 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.

Stochastic Processes and their ApplicationsVol. 192
Technion – Israel Institute of Technology (IL)
Openalex Percentile: Top 62%
Stochastic processes and statistical mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.