A Steklov eigenvalue estimate for affine connections and its application to substatic triples

Abstract Choi-Wang obtained a lower bound of the first eigenvalue of the Laplacian on closed minimal hypersurfaces. On minimal hypersurfaces with boundary, Fraser-Li established an inequality giving a lower bound of the first Steklov eigenvalue as a counterpart of the Choi-Wang inequality. The Fraser-Li type inequality was obtained for manifolds with non-negative Ricci curvature. In this paper, we extend it to the setting of non-negative Ricci curvature with respect to the Wylie-Yeroshkin type affine connection. Our results apply to both weighted Riemannian manifolds with non-negative 1-weighted Ricci curvature and substatic triples.

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Publication Details

Journal
Analysis and Mathematical Physics
Published
2025-10-29
DOI
https://doi.org/10.1007/s13324-025-01135-w
Primary Topic
Geometric Analysis and Curvature Flows
Type
article
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article

A Steklov eigenvalue estimate for affine connections and its application to substatic triples

Yasuaki Fujitani
Analysis and Mathematical Physics
Geometric Analysis and Curvature Flows
article

A Steklov eigenvalue estimate for affine connections and its application to substatic triples

Yasuaki Fujitani
article en

Abstract

Abstract Choi-Wang obtained a lower bound of the first eigenvalue of the Laplacian on closed minimal hypersurfaces. On minimal hypersurfaces with boundary, Fraser-Li established an inequality giving a lower bound of the first Steklov eigenvalue as a counterpart of the Choi-Wang inequality. The Fraser-Li type inequality was obtained for manifolds with non-negative Ricci curvature. In this paper, we extend it to the setting of non-negative Ricci curvature with respect to the Wylie-Yeroshkin type affine connection. Our results apply to both weighted Riemannian manifolds with non-negative 1-weighted Ricci curvature and substatic triples.

Analysis and Mathematical PhysicsVol. 15(6)
The University of Osaka (JP)
Openalex Percentile: Top 56%
Geometric Analysis and Curvature Flows
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