A microscopic interpretation for adaptive dynamics trait substitution sequence models

dc.creatorChampagnat, Nicolas
dc.date2005-12-02
dc.date.accessioned2026-07-07T06:54:48Z
dc.date.available2026-07-07T06:54:48Z
dc.descriptionWe consider an interacting particle Markov process for Darwinian evolution in an asexual population with non-constant population size, involving a linear birth rate, a density-dependent logistic death rate, and a probability $μ$ of mutation at each birth event. We introduce a renormalization parameter $K$ scaling the size of the population, which leads, when $K\to+\infty$, to a deterministic dynamics for the density of individuals holding a given trait. By combining in a non-standard way the limits of large population ($K\to+\infty$) and of small mutations ($μ\to 0$), we prove that a time scales separation between the birth and death events and the mutation events occurs and that the interacting particle microscopic process converges for finite dimensional distributions to the biological model of evolution known as the ``monomorphic trait substitution sequence'' model of adaptive dynamics, which describes the Darwinian evolution in an asexual population as a Markov jump process in the trait space.
dc.identifierhttps://arxiv.org/abs/math/0512063
dc.identifierhttp://arxiv.org/abs/math/0512063
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/106073
dc.subjectProbability
dc.subjectPopulations and Evolution
dc.subject60F99; 60K35; 92D15
dc.titleA microscopic interpretation for adaptive dynamics trait substitution sequence models
dc.typetext

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