mildobstacleALLd BRANCHING BROWNIAN MOTION WITH ‘MILD’ POISSONIAN OBSTACLES

We study a spatial branching model, where the underlying motion is d-dimensional (d ≥ 1) Brownian motion and the branching rate is affected by a random collection of reproduction suppressing sets dubbed mild obstacles. We show that the quenched local growth rate is given by the branching rate in the ‘free’ region. We obtain the asymptotics (in probability) of the quenched global growth rates for all d ≥ 1, and identify subexponential correction terms. We also show that the branching Brownian motion with mild obstacles spreads less quickly than ordinary branching Brownian motion by giving an upper estimate on its speed. When the underlying motion is an arbitrary diffusion process, we obtain a dichotomy for the quenched local growth that is independent of the Poissonian intensity. More general offspring distributions (beyond the dyadic one considered in the main theorems) as well as mild obstacle models for superprocesses are also discussed.