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Scaling limits of a model for selection at two scales Luo, S Mattingly, Jonathan Christopher 2015-07-28T19:31:51Z 2015-07-28T19:32:28Z
dc.description.abstract The dynamics of a population undergoing selection is a central topic in evolutionary biology. This question is particularly intriguing in the case where selective forces act in opposing directions at two population scales. For example, a fast-replicating virus strain outcompetes slower-replicating strains at the within-host scale. However, if the fast-replicating strain causes host morbidity and is less frequently transmitted, it can be outcompeted by slower-replicating strains at the between-host scale. Here we consider a stochastic ball-and-urn process which models this type of phenomenon. We prove the weak convergence of this process under two natural scalings. The first scaling leads to a deterministic nonlinear integro-partial differential equation on the interval $[0,1]$ with dependence on a single parameter, $\lambda$. We show that the fixed points of this differential equation are Beta distributions and that their stability depends on $\lambda$ and the behavior of the initial data around $1$. The second scaling leads to a measure-valued Fleming-Viot process, an infinite dimensional stochastic process that is frequently associated with a population genetics.
dc.format.extent 23 pages, 1 figure
dc.relation.replaces 10161/10331
dc.relation.isreplacedby 10161/12939
dc.subject math.PR
dc.subject math.PR
dc.subject math.DS
dc.subject q-bio.PE
dc.subject 37, 60
dc.title Scaling limits of a model for selection at two scales
dc.type Journal article
pubs.organisational-group Duke
pubs.organisational-group Mathematics
pubs.organisational-group Trinity College of Arts & Sciences

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