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A Useful Elementary Correlation Inequality, II

โœ Scribed by Joel Spencer


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
171 KB
Volume
84
Category
Article
ISSN
0097-3165

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โœฆ Synopsis


Let I be a finite index set and let B i , i # I, be events in a probability space. Let G be an undirected graph on vertex set I. Suppose that whenever J, K are disjoint subsets of I with no pairs j # J, k # K adjacent any Boolean expression of the B j , j # J is independent of any Boolean expression of the B k , k # K. In this case we call G a strong dependency graph for the events. We note that this is somewhat stronger than the notion of dependency graph used in the Lova sz Local Lemma and considerably stronger than making i, i $ adjacent whenever B i , B i $ were independent. We shall fix a particular dependency graph (in general G is not uniquely determined though in many instances there is a natural choice for G) and we shall write itj for i, j being adjacent in G.

Assume all Pr[B i ] p and that every i # G has deg(i) d. Further assume 4dp<1. To avoid trivialities we take d 1 so that p< 1 4 . Set

the sum over unordered pairs. Further set

Here we give an elementary proof of the following inequality of Suen [4].

Theorem. Under the above assumptions

Remarks. While we have quite deliberately emphasized the similarities, the above result provides an upper bound on Pr[รƒ i # I B i ] while the Lova sz Article No. TA982885 95 0097-3165ร‚98 25.00


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