English

Reverse Cheeger inequality for planar convex sets

Optimization and Control 2015-01-20 v1 Analysis of PDEs

Abstract

We prove the sharp inequality J(Ω):=λ1(Ω)h1(Ω)2<π24, J(\Omega) := \frac{\lambda_1(\Omega)}{h_1(\Omega)^2} < \frac{\pi^2}{4}, where Ω\Omega is any planar, convex set, λ1(Ω)\lambda_1(\Omega) is the first eigenvalue of the Laplacian under Dirichlet boundary conditions, and h1(Ω)h_1(\Omega) is the Cheeger constant of Ω\Omega. The value on the right-hand side is optimal, and any sequence of convex sets with fixed volume and diameter tending to infinity is a maximizing sequence. Morever, we discuss the minimization of JJ in the same class of subsets: we provide a lower bound which improves the generic bound given by Cheeger's inequality, we show the existence of a minimizer, and we give some optimality conditions.

Keywords

Cite

@article{arxiv.1501.04520,
  title  = {Reverse Cheeger inequality for planar convex sets},
  author = {Enea Parini},
  journal= {arXiv preprint arXiv:1501.04520},
  year   = {2015}
}
R2 v1 2026-06-22T08:05:49.560Z