title: Shannon's monotonicity problem for free and classical entropy.
abstract: We give a short unified proof of the following theorem, valid in the context of both classical probability theory and Voiculescu's free probability theory: let (X(j)((1)), ..., X(j)((n))) be independent (resp., freely independent) n-tuples of random variables. Let Z(N)((p)) = N(-1/2)(X(1)((p)) + ... + X(N)((p))) be their central limit sums. Then the entropy (resp., free entropy) of the n-tuple (Z(N)((1)), ..., Z(N)((n))) is a monotone function of N. The classical case (for n = 1) is a celebrated result of Artstein, Ball, Barthe, and Naor, and our proof is an adaptation and simplification of their argument.
authors: Department of Mathematics, University of California, Los Angeles, CA 90095, USA. shlyakht@math.ucla.edu
authors: Dimitri
authors: D
authors: Shlyakhtenko
authors: Hanne
authors: H
authors: Schultz
mesh_terms: D019277:Entropy; D007257:Information Theory; D015233:Models, Statistical; D008962:Models, Theoretical; D016011:Normal Distribution; D011336:Probability