English

Some optimal control and shape optimisation problems for bulk-surface cooperative systems

Analysis of PDEs 2025-05-28 v1 Optimization and Control

Abstract

The goal of this paper is to address some optimal control and shape optimisation problems arising from bulk-surface cooperative systems. The basic model under consideration is the following: letting Ω\Omega be a fixed domain, we assume that a population (with density uu) lives inside Ω\Omega and can access some resources ff, while a second population (with density vv) lives on the boundary Ω\partial \Omega and can access other resources gg. These two populations are coupled in a cooperative manner by a constant exchange rate at the boundary, leading to a non-standard PDE system that has already been studied in previous works by Bogosel, Giletti and Tellini, for its connection with road-field models. Building on the considerations of the aforementioned previous works, we have two main objectives here: first, investigate the question of optimal resources distribution inside the domain Ω\Omega and on the surface Ω\partial \Omega, i.e. how to spread resources in order to guarantee an optimal survival of the two species. We establish rigid Talenti inequalities and comparison results when Ω\Omega is a ball, extending in particular the results of J. J. Langford on symmetrisation for Neumann and Robin problems. Second, when the resources distribution ff and gg are constant, we provide a partial analysis of the natural shape optimisation problem: which shape Ω\Omega maximises the survival rate of the two species? Namely, we show that in certain regimes there can be no optimal shape and, by computing second-order shape derivatives, we investigate the local optimality of the ball.

Keywords

Cite

@article{arxiv.2505.20865,
  title  = {Some optimal control and shape optimisation problems for bulk-surface cooperative systems},
  author = {Andrea Gentile and Idriss Mazari-Fouquer and Raphaël Prunier},
  journal= {arXiv preprint arXiv:2505.20865},
  year   = {2025}
}
R2 v1 2026-07-01T02:42:03.785Z