Escape probabilities for branching Brownian motion among mild obstacles
Jean-Francois Le Gall, Amandine Veber

TL;DR
This paper analyzes the probability of a critical branching Brownian motion escaping a large domain amid mild Poissonian obstacles, using PDEs and homogenization techniques to derive asymptotic results.
Contribution
It introduces a novel approach combining PDE analysis and quenched homogenization to quantify escape probabilities in complex obstacle environments.
Findings
Derived asymptotics for escape probabilities in obstacle-laden environments.
Established a quenched homogenization theorem for branching Brownian motion.
Connected PDE solutions with probabilistic escape behaviors.
Abstract
We derive asymptotics for the quenched probability that a critical branching Brownian motion killed at a small rate in Poissonian obstacles exits a large domain. Results are formulated in terms of the solution to a semilinear partial differential equation with singular boundary conditions. The proofs depend on a quenched homogenization theorem for branching Brownian motion among mild obstacles.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Mathematical Modeling in Engineering · Theoretical and Computational Physics
