Sharp estimates for the first Robin eigenvalue of nonlinear elliptic operators

TL;DR

This paper derives optimal bounds for the first Robin eigenvalue of the anisotropic p-Laplace operator, linking it to geometric properties of the domain and a one-dimensional nonlinear problem.

Contribution

It provides new sharp estimates for the eigenvalue in terms of domain geometry and a simplified one-dimensional problem, extending previous results to anisotropic operators.

Findings

Lower bounds for positive eta>0

Upper bounds for negative eta<0

Bounds depend on anisotropic inradius and eta

Abstract

The aim of this paper is to obtain optimal estimates for the first Robin eigenvalue of the anisotropic $p$-Laplace operator, namely: \begin{equation*} \lambda_1(\beta,\Omega)=\min_{\psi\in W^{1,p}(\Omega)\setminus\{0\} } \frac{\displaystyle\int_\Omega F(\nabla \psi)^p dx +\beta \displaystyle\int_{\partial\Omega}|\psi|^pF(\nu_{\Omega}) d\mathcal H^{N-1} }{\displaystyle\int_\Omega|\psi|^p dx}, \end{equation*} where $p\in]1,+\infty[$, $\Omega$ is a bounded, mean convex domain in $\mathbb R^{N}$, $\nu_{\Omega}$ is its Euclidean outward normal, $\beta$ is a real number, and $F$ is a sufficiently smooth norm on $\mathbb R^{N}$. The estimates we found are in terms of the first eigenvalue of a one-dimensional nonlinear problem, which depends on $\beta$ and on geometrical quantities associated to $\Omega$. More precisely, we prove a lower bound of $\lambda_{1}$ in the case $\beta>0$, and a upper bound in the case $\beta<0$. As a consequence, we prove, for $\beta>0$, a lower bound for $\lambda_{1}(\beta,\Omega)$ in terms of the anisotropic inradius of $\Omega$ and, for $\beta<0$, an upper bound of $\lambda_{1}(\beta,\Omega)$ in terms of $\beta$.