On Laplacian eigenvalue equation with constant Neumann boundary data
Yong Huang, Qinfeng Li, Qiuqi Li, Ruofei Yao

TL;DR
This paper investigates boundary behaviors of solutions to the Laplacian eigenvalue problem with constant Neumann boundary data, deriving inequalities and symmetry results that characterize domain shapes like balls and rectangles.
Contribution
It introduces new inequalities involving eigenfunctions, characterizes domains where certain spectral constants are maximized, and extends symmetry breaking results to broader classes of domains.
Findings
Inequality for solutions on rectangular boxes, balls, and triangles with equality at symmetric domains.
Identification of conditions under which the Poincaré constant equals the second Neumann eigenvalue.
Extension of symmetry breaking results to wider classes of domains and quantitative estimates for thresholds.
Abstract
Let be a bounded Lipshcitz domain in 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 }\\ \frac{\partial u}{\partial \nu}=-1\quad &\mbox{on }. \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, is the solution to the eigenvalue equation and is the second Neumann Laplacian eigenvalue. Second, let be…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations · Numerical methods in inverse problems
