Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
173 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Bubbling and quantitative stability for Alexandrov's Soap Bubble Theorem with $L^1$-type deviations (2405.06376v3)

Published 10 May 2024 in math.AP

Abstract: 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 $\Vert H_0-H \Vert_{L1( \partial \Omega )}$.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com