The First Eigenvalue for the Bi-Beltrami-Laplacian on Minimal Isoparametric Hypersurfaces of $\mathbb{S}^{n+1}(1)$
Lingzhong Zeng

TL;DR
This paper determines the first eigenvalues of the bi-Beltrami-Laplacian on minimal isoparametric hypersurfaces in spheres using a variational approach, overcoming previous difficulties and providing a simpler proof.
Contribution
The paper introduces a straightforward variational method to compute the first eigenvalues of the bi-Beltrami-Laplacian on minimal isoparametric hypersurfaces, filling a gap in existing results.
Findings
First eigenvalues explicitly determined for specific hypersurfaces
Overcomes previous technical difficulties in the limit theorem
Provides a simpler proof method for eigenvalue calculation
Abstract
In this paper, we investigate the first eigenvalues of two closed eigenvalue problems of the bi-Beltrami-Laplacian on minimal embedded isoparametric hypersurface in the unit sphere . Although many mathematicians want to derive the corresponding results for the first eigenvalues of bi-Beltrami-Laplacian, they encountered great difficulties in proving the limit theorem of the version of bi-Beltrami-Laplacian along with the strategy due to I. Chavel and E. A. Feldman(Journal of Functional Analysis, 30 (1978), 198-222) and S. Ozawa (Duke Mathematics Journal, 48 (1981),767-778). Therefore, as the author knows, there are no any results of Tang-Yan type( Journal of Differential Geometry, 94 (2013) 521-540). However, by the variational argument, we overcome the difficulties and determine the first eigenvalues of the bi-Beltrami-Laplacian in the sense of isoparametric…
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
TopicsNonlinear Partial Differential Equations · Geometric Analysis and Curvature Flows · Advanced Mathematical Modeling in Engineering
