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Reverse isoperimetric problems under curvature constraints

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arxiv 2303.02294 v1 pith:RC6ISMUS submitted 2023-03-04 math.MG math.DG

classification math.MGmath.DG
keywords lambdaconvexbodiescurvatureisoperimetricreverseareaconjecture
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abstract

In this paper we solve several reverse isoperimetric problems in the class of $\lambda$-convex bodies, i.e., convex bodies whose curvature at each point of their boundary is bounded below by some $\lambda > 0$. We give an affirmative answer in $\mathbb{R}^3$ to a conjecture due to Borisenko which states that the $\lambda$-convex lens, i.e., the intersection of two balls of radius $1/\lambda$, is the unique minimizer of volume among all $\lambda$-convex bodies of given surface area. Also, we prove a reverse inradius inequality: in model spaces of constant curvature and arbitrary dimension, we show that the $\lambda$-convex lens (properly defined in non-zero curvature spaces) has the smallest inscribed ball among all $\lambda$-convex bodies of given surface area. This solves a conjecture due to Bezdek on minimal inradius of isoperimetric ball-polyhedra in $\mathbb{R}^n$.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Two properties of optimisers for the reverse isoperimetric problem

    math.DG 2025-11 conditional novelty 7.0 of 10

    No volume-constrained area maximizer among λ-convex bodies has a C² boundary, and every C² piece of such a maximizer has smallest principal curvature exactly λ, in constant-curvature space forms.

  2. Central Limit Theorems for Functionals of Persistence Diagrams in Germ-Grain Random Set Models with Applications to Goodness-of-Fit Testing

    math.ST 2026-07 conditional novelty 6.0 of 10

    M-bounded persistence-diagram functionals of germ-grain models with exponential correlation decay are asymptotically normal, enabling chi-squared GoF tests for spatial interactions.

  3. Optimal $L^p$-approximation of convex sets by convex subsets

    math.OC 2025-01 reject novelty 6.0 of 10

    The Gamma-convergence result is correct, but the abstract monotonicity theorem used to prove the polygonal-boundary result is false.

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