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Variance-refined in-diameter lower bound for the first Dirichlet eigenvalue

Year: 2026
Type: article
Abstract: Let [Formula: see text] be a compact [Formula: see text]-dimensional Riemannian manifold with nonempty boundary. Assume that [Formula: see text] for some [Formula: see text] and that [Formula: see text] has nonnegative mean curvature with respect to the outward unit normal. Denote by [Formula: see text] the first Dirichlet eigenvalue of the Laplacian. Ling’s gradient-comparison method [J. Ling, A lower bound of the first Dirichlet eigenvalue of a compact manifold with positive Ricci curvature, Int. J. Math. 17(5) (2006) 605–617] provides an explicit lower bound for [Formula: see text] in terms of [Formula: see text] and the in-diameter [Formula: see text] (twice the maximal distance from a point of [Formula: see text] to [Formula: see text]). 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 [Formula: see text] on [Formula: see text], 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 [Formula: see text], without taking a maximum with the curvature-only Lichnerowicz–Reilly bound.
Language: English
Open Access status: green
OpenAlex ID: W7117585358
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