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The influence of variables in product spaces
Authors:Jean Bourgain  Jeff Kahn  Gil Kalai  Yitzhak Katznelson  Nathan Linial
Institution:(1) Département de Mathématiques, IHES, 35 route de Chartres, Bures-sur-Yvette, France;(2) Department of Mathematics, Rutgers University, 08903 New Brunswick, NJ, USA;(3) Landau Center for Research in Mathematical Analysis Institute of Mathematics and Computer Science, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel;(4) IBM Almaden Research Center, Israel;(5) Department of Mathematics, Stanford University, 94305 Stanford, CA, USA
Abstract:LetX be a probability space and letf: X n → {0, 1} be a measurable map. Define the influence of thek-th variable onf, denoted byI f (k), as follows: Foru=(u 1,u 2,…,u n−1) ∈X n−1 consider the setl k (u)={(u 1,u 2,...,u k−1,t,u k ,…,u n−1):tX}. 
$$I_f (k) = \Pr (u \in X^{n - 1} :f is not constant on l_k (u)).$$
More generally, forS a subset of n]={1,...,n} let the influence ofS onf, denoted byI f (S), be the probability that assigning values to the variables not inS at random, the value off is undetermined. Theorem 1:There is an absolute constant c 1 so that for every function f: X n → {0, 1},with Pr(f −1(1))=p≤1/2,there is a variable k so that 
$$I_f (k) \geqslant c_1 p\frac{{\log n}}{n}.$$
Theorem 2:For every f: X n → {0, 1},with Prob(f=1)=1/2, and every ε>0,there is Sn], |S|=c 2(ε)n/logn so that I f (S)≥1−ε. These extend previous results by Kahn, Kalai and Linial for Boolean functions, i.e., the caseX={0, 1}. Work supported in part by grants from the Binational Israel-US Science Foundation and the Israeli Academy of Science.
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