Robust optimality of Gaussian noise stability
Journal of the European Mathematical Society, Tome 17 (2015) no. 2, pp. 433-482.

Voir la notice de l'article provenant de la source EMS Press

We prove that under the Gaussian measure, half-spaces are uniquely the most noise stable sets. We also prove a quantitative version of uniqueness, showing that a set which is almost optimally noise stable must be close to a half-space. This extends a theorem of Borell, who proved the same result but without uniqueness, and it also answers a question of Ledoux, who asked whether it was possible to prove Borell’s theorem using a direct semigroup argument. Our quantitative uniqueness result has various applications in diverse fields.
DOI : 10.4171/jems/507
Classification : 60-XX, 26-XX, 68-XX
Mots-clés : Gaussian noise sensitivity, isoperimetry, influence, Max-Cut
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Elchanan Mossel; Joe Neeman. Robust optimality of Gaussian noise stability. Journal of the European Mathematical Society, Tome 17 (2015) no. 2, pp. 433-482. doi : 10.4171/jems/507. https://geodesic-test.mathdoc.fr/articles/10.4171/jems/507/

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