Robust optimality of Gaussian noise stability
Journal of the European Mathematical Society, Tome 17 (2015) no. 2, pp. 433-482
Cet article a éte moissonné depuis 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.
Classification :
60-XX, 26-XX, 68-XX
Keywords: Gaussian noise sensitivity, isoperimetry, influence, Max-Cut
Keywords: Gaussian noise sensitivity, isoperimetry, influence, Max-Cut
@article{JEMS_2015_17_2_a5,
author = {Elchanan Mossel and Joe Neeman},
title = {Robust optimality of {Gaussian} noise stability},
journal = {Journal of the European Mathematical Society},
pages = {433--482},
year = {2015},
volume = {17},
number = {2},
doi = {10.4171/jems/507},
url = {http://geodesic.mathdoc.fr/articles/10.4171/jems/507/}
}
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
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