Survival and complete convergence for a branching annihilating random walk

We study a discrete-time branching annihilating random walk (BARW) on the d-dimensional lattice. Each particle produces a Poissonian number of offspring with mean μ which independently move to a uniformly chosen site within a fixed distance R from their parent’s position. Whenever a site is occupied by at least two particles, all the particles at that site are annihilated. We prove that for any μ>1 the process survives when R is sufficiently large. For fixed R we show that the process dies out if μ is too small or too large. Furthermore, we exhibit an interval of μ-values for which the process survives and possesses a unique nontrivial ergodic equilibrium for R sufficiently large. We also prove complete convergence for that case.

Authors

Institutions

Publication Details

Journal
The Annals of Applied Probability
Published
2024-12-01
DOI
https://doi.org/10.1214/24-aap2105
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Survival and complete convergence for a branching annihilating random walk

Jǐŕı Černý, Matthias Birkner, Nina Gantert, Alice Callegaro et al.
1 citations
The Annals of Applied Probability
Stochastic processes and statistical mechanics
0.89
article

Survival and complete convergence for a branching annihilating random walk

Jǐŕı Černý, Matthias Birkner, Nina Gantert, Alice Callegaro, Pascal Oswald
article en
1 citations

Abstract

We study a discrete-time branching annihilating random walk (BARW) on the d-dimensional lattice. Each particle produces a Poissonian number of offspring with mean μ which independently move to a uniformly chosen site within a fixed distance R from their parent’s position. Whenever a site is occupied by at least two particles, all the particles at that site are annihilated. We prove that for any μ>1 the process survives when R is sufficiently large. For fixed R we show that the process dies out if μ is too small or too large. Furthermore, we exhibit an interval of μ-values for which the process survives and possesses a unique nontrivial ergodic equilibrium for R sufficiently large. We also prove complete convergence for that case.

The Annals of Applied ProbabilityVol. 34(6)
University of Basel (CH), Johannes Gutenberg University Mainz (DE), Technical University of Munich (DE)
Reduced inequalities
Openalex Percentile: Top 25%
Stochastic processes and statistical mechanics
0.89
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.

Survival and complete convergence for a branching annihilating random walk — Jǐŕı Černý, Matthias Birkner, et al. · The Annals of Applied Probability (2024) | TGRS Research Map | TGRS