Upper bound estimation for the ratio of the first two eigenvalues of Robin Laplacian
Guowei Dai, Yingxin Sun

TL;DR
This paper proves that for the Robin Laplacian, the ratio of the first two eigenvalues is maximized by a disk across all dimensions and boundary parameters, and that this ratio decreases as the boundary parameter increases.
Contribution
It confirms the Robin Laplacian eigenvalue ratio conjecture for all dimensions and boundary parameters, extending previous results and providing insights into eigenvalue behavior.
Findings
The maximum eigenvalue ratio is achieved by a disk.
The ratio $/$ decreases with increasing boundary parameter $$.
The result applies to all dimensions $N $ and $ > 0$.
Abstract
The celebrated conjecture by Payne, P\'{o}lya and Weinberger (1956) states that for the fixed membrane problem, the ratio of the first two eigenvalues, , is maximized by a disk. A more general dimensional version of this conjecture was later resolved by Ashbaugh and Benguria in the 1990s. For the Robin Laplacian, Payne and Schaefer (2001) formulated an analogous conjecture, positing that the ratio is also maximized by a disk for a range of the boundary parameter . This was later restated by Henrot in 2003. In this work, under some suitable conditions, we affirm this conjecture for all dimensions and for all . Furthermore, we prove that the maximum value of is strictly decreasing in over the entire interval . Our result provides a positive answer to a variant of Yau's Problem 77: by…
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
TopicsSpectral Theory in Mathematical Physics · Nonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering
