Stability of Talagrand's influence inequality

09/26/2019
by   Ronen Eldan, et al.
0

We strengthen several classical inequalities concerning the influences of a Boolean function, showing that near-maximizers must have large vertex boundaries. An inequality due to Talagrand states that for a Boolean function f, var(f)≤ C∑_i=1^nInf_i(f)/1+log(1/Inf_i(f)), where Inf_i(f) denotes the influence of the i-th coordinate. We give a lower bound for the size of the vertex boundary of functions saturating this inequality. As a corollary, we show that for sets that satisfy the edge-isoperimetric inequality or the Kahn-Kalai-Linial inequality up to a constant, a constant proportion of the mass is in the inner vertex boundary. Our proofs rely on new techniques, based on stochastic calculus, and bypass the use of hypercontractivity common to previous proofs.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/26/2019

Concentration on the Boolean hypercube via pathwise stochastic analysis

We develop a new technique for proving concentration inequalities which ...
research
10/05/2022

A Counterexample to a Directed KKL Inequality

We show that the natural directed analogues of the KKL theorem [KKL88] a...
research
09/07/2021

Convex Influences

We introduce a new notion of influence for symmetric convex sets over Ga...
research
11/24/2019

Revisiting Bourgain-Kalai and Fourier Entropies

The total influence of a function is a central notion in analysis of Boo...
research
12/15/2022

A Lower Bound on the Constant in the Fourier Min-Entropy/Influence Conjecture

We describe a new construction of Boolean functions. A specific instance...
research
09/11/2020

Hypercontractivity on the symmetric group

The hypercontractive inequality is a fundamental result in analysis, wit...
research
08/12/2022

Noise stability on the Boolean hypercube via a renormalized Brownian motion

We consider a variant of the classical notion of noise on the Boolean hy...

Please sign up or login with your details

Forgot password? Click here to reset