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Survival criterion for a population subject to selection and mutations; Application to temporally piecewise constant environments
Institution:1. NYC College of Technology, Department of Mathematics, 300 Jay Street, Brooklyn, NY 11201, United States;2. Duke University, Department of Mathematics, Box 90320, Durham, NC 27708, United States
Abstract:We study a parabolic Lotka–Volterra type equation that describes the evolution of a population structured by a phenotypic trait, under the effects of mutations and competition for resources modelled by a nonlocal feedback. The limit of small mutations is characterized by a Hamilton–Jacobi equation with constraint that describes the concentration of the population on some traits. This result was already established in Barles and Perthame (2008); Barles et al. (2009); Lorz et al. (2011) in a time-homogeneous environment, when the asymptotic persistence of the population was ensured by assumptions on either the growth rate or the initial data. Here, we relax these assumptions to extend the study to situations where the population may go extinct at the limit. For that purpose, we provide conditions on the initial data for the asymptotic fate of the population. Finally, we show how this study for a time-homogeneous environment allows to consider temporally piecewise constant environments.
Keywords:Parabolic integro-differential equations  Hamilton–Jacobi equation with constraint  Dirac concentrations  Adaptive evolution
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