Shearer's inequality
Shearer's inequality or also Shearer's lemma, in mathematics, is an inequality in information theory relating the entropy of a set of variables to the entropies of a collection of subsets. It is named for mathematician James B. Shearer. Concretely, it states that if X1, ..., Xd are random variables and S1, ..., Sn are subsets of {1, 2, ..., d} such that every integer between 1 and d lies in at least r of these subsets, then where is entropy and is the Cartesian product of random variables with indices j in .[1] Combinatorial versionLet be a family of subsets of [n] (possibly with repeats) with each included in at least members of . Let be another set of subsets of . Then where the set of possible intersections of elements of with .[2] See alsoReferences
|