We prove the stability of the ball as global minimizer of an attractive shape functional under volume constraint, by means of mass transportation arguments. The stability exponent is 1∕2 and it is sharp. Moreover, we use such stability result together with the quantitative (possibly fractional) isoperimetric inequality to prove that the ball is a global minimizer of a shape functional involving both an attractive and a repulsive term with a sufficiently large fixed volume and with a suitable (possibly fractional) perimeter penalization.
Keywords: Riesz rearrangement inequality, fractional perimeter, Riesz potential, quantitative isoperimetric inequality
@article{COCV_2022__28_1_A4_0,
author = {Ascione, Giacomo},
title = {A spherical rearrangement proof of the stability of a {Riesz-type} inequality and an application to an isoperimetric type problem},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
year = {2022},
publisher = {EDP-Sciences},
volume = {28},
doi = {10.1051/cocv/2021106},
mrnumber = {4362197},
zbl = {1481.49041},
language = {en},
url = {https://www.numdam.org/articles/10.1051/cocv/2021106/}
}
TY - JOUR AU - Ascione, Giacomo TI - A spherical rearrangement proof of the stability of a Riesz-type inequality and an application to an isoperimetric type problem JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2022 VL - 28 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/cocv/2021106/ DO - 10.1051/cocv/2021106 LA - en ID - COCV_2022__28_1_A4_0 ER -
%0 Journal Article %A Ascione, Giacomo %T A spherical rearrangement proof of the stability of a Riesz-type inequality and an application to an isoperimetric type problem %J ESAIM: Control, Optimisation and Calculus of Variations %D 2022 %V 28 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/cocv/2021106/ %R 10.1051/cocv/2021106 %G en %F COCV_2022__28_1_A4_0
Ascione, Giacomo. A spherical rearrangement proof of the stability of a Riesz-type inequality and an application to an isoperimetric type problem. ESAIM: Control, Optimisation and Calculus of Variations, Tome 28 (2022), article no. 4. doi: 10.1051/cocv/2021106
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The author is supported by MIUR-PRIN 2017, project Stochastic Models for Complex Systems, no. 2017JFFHSH and by Gruppo Nazionale per l’Analisi Matematica, la Probabilitá e le loro Applicazioni (GNAMPA-INdAM).





