Shape optimization of a weighted twophase Dirichlet eigenvalue
Abstract
Let $m$ be a bounded function and $\alpha$ a nonnegative parameter. This article is concerned with the first eigenvalue $\lambda_\alpha(m)$ of the drifted Laplacian type operator $\mathcal L_m$ given by $\mathcal L_m(u)= \operatorname{div} \left((1+\alpha m)\nabla u\right)mu$ on a smooth bounded domain, with Dirichlet boundary conditions. Assuming uniform pointwise and integral bounds on $m$, we investigate the issue of minimizing $\lambda_\alpha(m)$ with respect to $m$. Such a problem is related to the socalled "two phase extremal eigenvalue problem" and arises naturally, for instance in population dynamics where it is related to the survival ability of a species in a domain. We prove that unless the domain is a ball, this problem has no "regular" solution. We then provide a careful analysis in the case of a ball by: (1) characterizing the solution among all radially symmetric resources distributions, with the help of a new method involving a homogenized version of the problem; (2) proving in a more general setting, a stability result for the centered distribution of resources with the help of a monotonicity principle for second order shape derivatives which significantly simplifies the analysis.
 Publication:

arXiv eprints
 Pub Date:
 January 2020
 arXiv:
 arXiv:2001.02958
 Bibcode:
 2020arXiv200102958M
 Keywords:

 Mathematics  Analysis of PDEs;
 Mathematics  Optimization and Control