Quantitative stability for overdetermined nonlocal problems with parallel surfaces and investigation of the stability exponents

TL;DR

This paper establishes a new quantitative stability result for the parallel surface problem involving fractional Laplacians, providing insights into the optimal stability exponents and their explicit bounds.

Contribution

It introduces an improved stability estimate for nonlocal problems and analyzes the techniques to determine the optimal stability exponent.

Findings

Derived an explicit upper bound on the stability exponent.

Provided a detailed comparison of techniques for optimal exponent estimation.

Presented new explicit examples for stability analysis.

Abstract

In this article, we analyze the stability of the parallel surface problem for semilinear equations driven by the fractional Laplacian. We prove a quantitative stability result that goes beyond that previously obtained in [Cir+23]. Moreover, we discuss in detail several techniques and challenges in obtaining the optimal exponent in this stability result. In particular, this includes an upper bound on the exponent via an explicit computation involving a family of ellipsoids. We also sharply investigate a technique that was proposed in [Cir+18] to obtain the optimal stability exponent in the quantitative estimate for the nonlocal Alexandrov's soap bubble theorem, obtaining accurate estimates to be compared with a new, explicit example.