The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift
Julien Berestycki, Jiaqi Liu, Bastien Mallein, Jason Schweinsberg

TL;DR
This paper investigates the long-term behavior of branching Brownian motion with absorption and a slightly subcritical drift, establishing the existence of a Yaglom limit and analyzing its asymptotic properties as the drift approaches criticality.
Contribution
It constructs the Yaglom limit for the process in the subcritical case and analyzes its asymptotic behavior near the critical drift value.
Findings
Existence of a Yaglom limit for the process when > .
As approaches , the number of particles and maximum particle position scale as ^{-1/3}.
Limit distribution of particle locations is characterized as .
Abstract
Consider branching Brownian motion with absorption in which particles move independently as one-dimensional Brownian motions with drift , each particle splits into two particles at rate one, and particles are killed when they reach the origin. Kesten (1978) showed that this process dies out with probability one if and only if . We show that in the subcritical case when , the law of the process conditioned on survival until time converges as to a quasi-stationary distribution, which we call the Yaglom limit. We give a construction of this quasi-stationary distribution. We also study the asymptotic behavior as of this quasi-stationary distribution. We show that the logarithm of the number of particles and the location of the highest particle are of order , and we obtain a…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Thermodynamics and Statistical Mechanics · Phase Equilibria and Thermodynamics
