Abstract
Consider the discrete cube Ω={0,1}N, provided with the uniform probabilityP. We denote byd(x, A) the Hamming distance of a pointx of Ω and a subsetA of Ω. We define the influenceI(A) of theith coordinate onA as follows. Forx in Ω, consider the pointT i (x) obtained by changing the value of theith coordinate. Then\(I_i (A) = P(\{ x \in A;T_i (x) \notin A\} ).\)
We prove that we always have\(P(A)\int_\Omega {d(x,A)dP(x) \leqslant \frac{1}{2}\sum\limits_{i \leqslant N} {I_i (A).} } \)
Since it is easy to see that\(\sum\nolimits_{i \leqslant N} {I_i (A)^2 \leqslant \frac{1}{4}} \), this recovers the well known fact that ∫Ω d(x, A)dP(x) is at most of order\(\sqrt N \) whenP(A)≥1/2. The new information is that ∫Ω d(x, A)dP(x) can be of order\(\sqrt N \) only ifA reassembles the Hamming ball {x; ∑1≤N x i ≥N/2}.
Similar content being viewed by others
References
[K-K-L] J. Kahn, G. Kalai and N. Linial,The influence of variables on Boolean functions, Proc. 29th IEEE, FOCS 58-80, IEEE, New York, 1988.
[M] K. Marton,A concentration of measure inequality for contracting Markov chains, Geometric and Functional Analysis6 (1996), 553–571.
[T1] M. Talagrand,How much are increasing sets positively correlated, Combinatorica16 (1996), 243–258.
[T2] M. Talagrand,A new look at independence, The Annals of Probability24 (1996), 1–34.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Talagrand, M. Concentration and influences. Isr. J. Math. 111, 275–284 (1999). https://doi.org/10.1007/BF02810688
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02810688