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2018 Noise stability and correlation with half spaces
Elchanan Mossel, Joe Neeman
Electron. J. Probab. 23: 1-17 (2018). DOI: 10.1214/18-EJP145


Benjamini, Kalai and Schramm showed that a monotone function $f : \{-1,1\}^n \to \{-1,1\}$ is noise stable if and only if it is correlated with a half-space (a set of the form $\{x: \langle x, a \rangle \le b\}$).

We study noise stability in terms of correlation with half-spaces for general (not necessarily monotone) functions. We show that a function $f: \{-1, 1\}^n \to \{-1, 1\}$ is noise stable if and only if it becomes correlated with a half-space when we modify $f$ by randomly restricting a constant fraction of its coordinates.

Looking at random restrictions is necessary: we construct noise stable functions whose correlation with any half-space is $o(1)$. The examples further satisfy that different restrictions are correlated with different half-spaces: for any fixed half-space, the probability that a random restriction is correlated with it goes to zero.

We also provide quantitative versions of the above statements, and versions that apply for the Gaussian measure on $\mathbb{R} ^n$ instead of the discrete cube. Our work is motivated by questions in learning theory and a recent question of Khot and Moshkovitz.


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Elchanan Mossel. Joe Neeman. "Noise stability and correlation with half spaces." Electron. J. Probab. 23 1 - 17, 2018.


Received: 25 April 2017; Accepted: 25 January 2018; Published: 2018
First available in Project Euclid: 23 February 2018

zbMATH: 06868361
MathSciNet: MR3771753
Digital Object Identifier: 10.1214/18-EJP145

Primary: 60

Keywords: boolean function , functional inequality , Noise stability


Vol.23 • 2018
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