English

Geometric influences

Probability 2012-05-25 v4 Functional Analysis

Abstract

We present a new definition of influences in product spaces of continuous distributions. Our definition is geometric, and for monotone sets it is identical with the measure of the boundary with respect to uniform enlargement. We prove analogs of the Kahn-Kalai-Linial (KKL) and Talagrand's influence sum bounds for the new definition. We further prove an analog of a result of Friedgut showing that sets with small "influence sum" are essentially determined by a small number of coordinates. In particular, we establish the following tight analog of the KKL bound: for any set in Rn\mathbb{R}^n of Gaussian measure tt, there exists a coordinate ii such that the iith geometric influence of the set is at least ct(1t)logn/nct(1-t)\sqrt{\log n}/n, where cc is a universal constant. This result is then used to obtain an isoperimetric inequality for the Gaussian measure on Rn\mathbb{R}^n and the class of sets invariant under transitive permutation group of the coordinates.

Keywords

Cite

@article{arxiv.0911.1601,
  title  = {Geometric influences},
  author = {Nathan Keller and Elchanan Mossel and Arnab Sen},
  journal= {arXiv preprint arXiv:0911.1601},
  year   = {2012}
}

Comments

Published in at http://dx.doi.org/10.1214/11-AOP643 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

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