A microscopic probabilistic description of a locally regulated population and macroscopic approximations

dc.creatorFournier, Nicolas
dc.creatorMeleard, Sylvie
dc.date2005-03-24
dc.date.accessioned2026-07-07T05:18:22Z
dc.date.available2026-07-07T05:18:22Z
dc.descriptionWe consider a discrete model that describes a locally regulated spatial population with mortality selection. This model was studied in parallel by Bolker and Pacala and Dieckmann, Law and Murrell. We first generalize this model by adding spatial dependence. Then we give a pathwise description in terms of Poisson point measures. We show that different normalizations may lead to different macroscopic approximations of this model. The first approximation is deterministic and gives a rigorous sense to the number density. The second approximation is a superprocess previously studied by Etheridge. Finally, we study in specific cases the long time behavior of the system and of its deterministic approximation.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051604000000882 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0503546
dc.identifierhttp://arxiv.org/abs/math/0503546
dc.identifierAnnals of Applied Probability 2004, Vol. 14, No. 4, 1880-1919
dc.identifierdoi:10.1214/105051604000000882
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/74639
dc.subjectProbability
dc.subject60J80, 60K35. (Primary)
dc.titleA microscopic probabilistic description of a locally regulated population and macroscopic approximations
dc.typetext

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