arXiv Analytics

Sign in

arXiv:2405.06376 [math.AP]AbstractReferencesReviewsResources

Bubbling and quantitative stability for Alexandrov's Soap Bubble Theorem with $L^1$-type deviations

Giorgio Poggesi

Published 2024-05-10Version 1

The quantitative analysis of bubbling phenomena for almost constant mean curvature boundaries is an important question having significant applications in various fields including capillarity theory and the study of mean curvature flows. Such a quantitative analysis was initiated in [G. Ciraolo and F. Maggi, Comm. Pure Appl. Math. (2017)], where the first quantitative result of proximity to a set of disjoint balls of equal radii was obtained in terms of a uniform deviation of the mean curvature from being constant. Weakening the measure of the deviation in such a result is a delicate issue that is crucial in view of the applications for mean curvature flows. Some progress in this direction was recently made in [V. Julin and J. Niinikoski, Anal. PDE (2023)], where $L^{N-1}$-deviations are considered for domains in $\mathbb{R}^N$. In the present paper we significantly weaken the measure of the deviation, obtaining a quantitative result of proximity to a set of disjoint balls of equal radii for the following deviation $$ \int_{\partial \Omega } \left( H_0 - H \right)^+ dS_x, \quad \text{ where } \begin{cases} H \text{ is the mean curvature of } \partial \Omega , \\ H_0:=\frac{| \partial \Omega |}{N | \Omega |} , \\ \left( H_0 - H \right)^+:=\max\left\lbrace H_0 - H , 0 \right\rbrace , \end{cases} $$ which is clearly even weaker than $\Vert H_0-H \Vert_{L^1( \partial \Omega )}$.

Related articles: Most relevant | Search more
arXiv:1708.07392 [math.AP] (Published 2017-08-24)
Serrin's problem and Alexandrov's Soap Bubble Theorem: enhanced stability via integral identities
arXiv:2411.04908 [math.AP] (Published 2024-11-07)
Gluing methods for quantitative stability of optimal transport maps
arXiv:2002.02022 [math.AP] (Published 2020-02-05)
Quantitative stability in the geometry of semi-discrete optimal transport