Optimal location of resources maximizing the total population size in logistic models - Archive ouverte HAL
Journal Articles Journal de Mathématiques Pures et Appliquées Year : 2020

Optimal location of resources maximizing the total population size in logistic models

Idriss Mazari
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Grégoire Nadin

Abstract

In this article, we consider a species whose population density solves the steady diffusive logistic equation in a heterogeneous environment modeled with the help of a spatially non constant coefficient standing for a resources distribution. We address the issue of maximizing the total population size with respect to the resources distribution, considering some uniform pointwise bounds as well as prescribing the total amount of resources. By assuming the diffusion rate of the species large enough, we prove that any optimal configuration is bang-bang (in other words an extreme point of the admissible set) meaning that this problem can be recast as a shape optimization problem, the unknown domain standing for the resources location. In the one-dimensional case, this problem is deeply analyzed, and for large diffusion rates, all optimal configurations are exhibited. This study is completed by several numerical simulations in the one dimensional case.
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Dates and versions

hal-01607046 , version 1 (02-10-2017)
hal-01607046 , version 2 (14-05-2019)
hal-01607046 , version 3 (09-07-2019)
hal-01607046 , version 4 (28-07-2019)

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Idriss Mazari, Grégoire Nadin, Yannick Privat. Optimal location of resources maximizing the total population size in logistic models. Journal de Mathématiques Pures et Appliquées, 2020, 134, pp.1-35. ⟨10.1016/j.matpur.2019.10.008⟩. ⟨hal-01607046v4⟩
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