A Spectral Gap Estimate and Applications
Bogdan Georgiev, Mayukh Mukherjee, Stefan Steinerberger

TL;DR
This paper establishes a lower bound on the first eigenvalue of a Schrödinger operator using sublevel set estimates and applies this to bound the maximum of the first Laplacian eigenfunction in convex planar domains.
Contribution
It introduces a sharp spectral gap estimate based on sublevel set measures and applies it to eigenfunction bounds in convex domains, answering a specific open question.
Findings
Lower bound on eigenvalue in terms of sublevel set measures.
Eigenfunction maximum bound depending on inradius and diameter.
Answer to van den Berg's question in 2D convex domains.
Abstract
We consider the Schr\"odinger operator where is bounded from below and prove a lower bound on the first eigenvalue in terms of sublevel estimates: if then The result is sharp up to a universal constant if is an interval for the value of solving the minimization problem. An immediate application is as follows: let be a convex domain with inradius and diameter and let be the first eigenfunction of the Laplacian on with Dirichlet boundary conditions on…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Spectral Theory in Mathematical Physics · Numerical methods in inverse problems
