English

On Laplacian eigenvalue equation with constant Neumann boundary data

Analysis of PDEs 2024-04-30 v2

Abstract

Let Ω\Omega be a bounded Lipshcitz domain in Rn\mathbb{R}^n and we study boundary behaviors of solutions to the Laplacian eigenvalue equation with constant Neumann data. \begin{align} \label{cequation0} \begin{cases} -\Delta u=cu\quad &\mbox{in Ω\Omega}\\ \frac{\partial u}{\partial \nu}=-1\quad &\mbox{on Ω\partial \Omega}. \end{cases} \end{align}First, by using properties of Bessel functions and proving new inequalities on elementary symmetric polynomials, we obtain the following inequality for rectangular boxes, balls and equilateral triangles: \begin{align} \label{bbb} \lim_{c\rightarrow \mu_2^-}c\int_{\partial \Omega}u_c\, d\sigma\ge \frac{n-1}{n}\frac{P^2(\Omega)}{|\Omega|}, \end{align}with equality achieved only at cubes and balls. In the above, ucu_c is the solution to the eigenvalue equation and μ2\mu_2 is the second Neumann Laplacian eigenvalue. Second, let κ1\kappa_1 be the best constant for the Poincar\'e inequality with mean zero on Ω\partial \Omega, and we prove that κ1μ2\kappa_1\le \mu_2, with equality holds if and only if Ωucdσ>0\int_{\partial \Omega}u_c\, d\sigma>0 for any c(0,μ2)c\in (0,\mu_2). As a consequence, κ1=μ2\kappa_1=\mu_2 on balls, rectangular boxes and equilateral triangles, and balls maximize κ1\kappa_1 over all Lipschitz domains with fixed volume. As an application, we extend the symmetry breaking results from ball domains obtained in Bucur-Buttazzo-Nitsch[J. Math. Pures Appl., 2017], to wider class of domains, and give quantitative estimates for the precise breaking threshold at balls and rectangular boxes. It is a direct consequence that for domains with κ1<μ2\kappa_1<\mu_2, the above boundary limit inequality is never true, while whether it is valid for domains on which κ1=μ2\kappa_1=\mu_2 remains open.

Keywords

Cite

@article{arxiv.2211.15110,
  title  = {On Laplacian eigenvalue equation with constant Neumann boundary data},
  author = {Yong Huang and Qinfeng Li and Qiuqi Li and Ruofei Yao},
  journal= {arXiv preprint arXiv:2211.15110},
  year   = {2024}
}

Comments

A revised version compared to the previous one

R2 v1 2026-06-28T07:14:30.242Z