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Main Authors: Anedda, Claudia, Cuccu, Fabrizio
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2408.04634
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author Anedda, Claudia
Cuccu, Fabrizio
author_facet Anedda, Claudia
Cuccu, Fabrizio
contents Let $Ω\subset\mathbb{R}^N$, $N\geq 1$, be a bounded connected open set. We consider the weighted eigenvalue problem $-Δu =λm u$ in $Ω$ with $λ\in \mathbb{R}$, $m\in L^\infty(Ω)$ and with homogeneous Dirichlet and Robin boundary conditions. First, we study weak* continuity, convexity and Gâteaux differentiability of the map $m\mapsto1/λ_1(m)$, where $λ_1(m)$ is the principal eigenvalue. Then, denoting by $\mathcal{G}(m_0)$ the class of rearrangements of a fixed weight $m_0$ and assuming that $m_0$ is positive on a set of positive Lebesgue measure, we investigate the minimization and maximization of $λ_1(m)$ over $\mathcal{G}(m_0)$. The minimization problem has been already discussed in some papers; here we prove some known results about the existence and characterization of minimizers of $λ_1(m)$. We underline that our approach allows us to treat Dirichlet and Robin boundary conditions together. Instead, to our best knowledge, the maximization problem has been only partially addressed in the literature. It turns out that the maximization of $λ_1(m)$ is more intricate than its minimization. In our work we discuss existence, uniqueness and characterization of maximizers both in $ \mathcal{G}(m_0)$ and in its weak* closure $\overline{\mathcal{G}(m_0)}$. In particular, we provide an original full description of the unique maximizer in the case of Dirichlet boundary conditions. In the context of the population dynamics, this kind of problems arise from the question of determining the optimal spatial location of favourable and unfavourable habitats in order to increase the chances of survival or extinction of a population.
format Preprint
id arxiv_https___arxiv_org_abs_2408_04634
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Maximization and minimization of the principal eigenvalue of the Laplacian with indefinite weight under Dirichlet and Robin boundary conditions on classes of rearrangements
Anedda, Claudia
Cuccu, Fabrizio
Analysis of PDEs
Let $Ω\subset\mathbb{R}^N$, $N\geq 1$, be a bounded connected open set. We consider the weighted eigenvalue problem $-Δu =λm u$ in $Ω$ with $λ\in \mathbb{R}$, $m\in L^\infty(Ω)$ and with homogeneous Dirichlet and Robin boundary conditions. First, we study weak* continuity, convexity and Gâteaux differentiability of the map $m\mapsto1/λ_1(m)$, where $λ_1(m)$ is the principal eigenvalue. Then, denoting by $\mathcal{G}(m_0)$ the class of rearrangements of a fixed weight $m_0$ and assuming that $m_0$ is positive on a set of positive Lebesgue measure, we investigate the minimization and maximization of $λ_1(m)$ over $\mathcal{G}(m_0)$. The minimization problem has been already discussed in some papers; here we prove some known results about the existence and characterization of minimizers of $λ_1(m)$. We underline that our approach allows us to treat Dirichlet and Robin boundary conditions together. Instead, to our best knowledge, the maximization problem has been only partially addressed in the literature. It turns out that the maximization of $λ_1(m)$ is more intricate than its minimization. In our work we discuss existence, uniqueness and characterization of maximizers both in $ \mathcal{G}(m_0)$ and in its weak* closure $\overline{\mathcal{G}(m_0)}$. In particular, we provide an original full description of the unique maximizer in the case of Dirichlet boundary conditions. In the context of the population dynamics, this kind of problems arise from the question of determining the optimal spatial location of favourable and unfavourable habitats in order to increase the chances of survival or extinction of a population.
title Maximization and minimization of the principal eigenvalue of the Laplacian with indefinite weight under Dirichlet and Robin boundary conditions on classes of rearrangements
topic Analysis of PDEs
url https://arxiv.org/abs/2408.04634