Quenched law of large numbers for branching Brownian motion in a random medium

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dc.creatorEngländer, János
dc.date2008-06-16
dc.date.accessioned2026-07-07T12:19:31Z
dc.date.available2026-07-07T12:19:31Z
dc.descriptionWe study a spatial branching model, where the underlying motion is $d$-dimensional ($d\ge1$) Brownian motion and the branching rate is affected by a random collection of reproduction suppressing sets dubbed mild obstacles. The main result of this paper is the quenched law of large numbers for the population for all $d\ge1$. 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.
dc.descriptionPublished in at http://dx.doi.org/10.1214/07-AIHP155 the Annales de l'Institut Henri Poincaré - Probabilités et Statistiques (http://www.imstat.org/aihp/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0806.2512
dc.identifierhttp://arxiv.org/abs/0806.2512
dc.identifierAnnales de l'Institut Henri Poincaré - Probabilités et Statistiques 2008, Vol. 44, No. 3, 490-518
dc.identifierdoi:10.1214/07-AIHP155
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212782
dc.subjectProbability
dc.titleQuenched law of large numbers for branching Brownian motion in a random medium
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