Variance-Refined In-Diameter Lower Bound for the First Dirichlet Eigenvalue

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1. Verfasser: Schürmann, Thomas
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Veröffentlicht: 2025
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author Schürmann, Thomas
author_facet Schürmann, Thomas
contents Let $(M,g)$ be a compact $n$-dimensional Riemannian manifold with nonempty boundary and $n\geq 2$. Assume that ${\mathrm{Ric}(M)\ge (n-1)K}$ for some ${K>0}$ and that $\partial M$ has nonnegative mean curvature with respect to the outward unit normal. Denote by $λ$ the first Dirichlet eigenvalue of the Laplacian. Ling's gradient-comparison method (Ling, 2006) provides an explicit lower bound for $λ$ in terms of $K$ and the in-diameter $\tilde d$ (twice the maximal distance from a point of $M$ to $\partial M$). We isolate the only step in Ling's argument that loses quantitative information: a Jensen-Hölder averaging that replaces a nonconstant one-dimensional comparison function by its mean. Using the uniform strong convexity of $x\to x^{-1/2}$ on $(0,1]$, we refine this averaging by a variance term and thereby retain part of the discarded oscillation. This yields an explicit closed-form in-diameter bound that is strictly stronger than Ling's estimate for every $K>0$.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21517
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Variance-Refined In-Diameter Lower Bound for the First Dirichlet Eigenvalue
Schürmann, Thomas
Differential Geometry
Analysis of PDEs
Primary 58J50, 35P15, Secondary 53C21
Let $(M,g)$ be a compact $n$-dimensional Riemannian manifold with nonempty boundary and $n\geq 2$. Assume that ${\mathrm{Ric}(M)\ge (n-1)K}$ for some ${K>0}$ and that $\partial M$ has nonnegative mean curvature with respect to the outward unit normal. Denote by $λ$ the first Dirichlet eigenvalue of the Laplacian. Ling's gradient-comparison method (Ling, 2006) provides an explicit lower bound for $λ$ in terms of $K$ and the in-diameter $\tilde d$ (twice the maximal distance from a point of $M$ to $\partial M$). We isolate the only step in Ling's argument that loses quantitative information: a Jensen-Hölder averaging that replaces a nonconstant one-dimensional comparison function by its mean. Using the uniform strong convexity of $x\to x^{-1/2}$ on $(0,1]$, we refine this averaging by a variance term and thereby retain part of the discarded oscillation. This yields an explicit closed-form in-diameter bound that is strictly stronger than Ling's estimate for every $K>0$.
title Variance-Refined In-Diameter Lower Bound for the First Dirichlet Eigenvalue
topic Differential Geometry
Analysis of PDEs
Primary 58J50, 35P15, Secondary 53C21
url https://arxiv.org/abs/2512.21517