DocumentCode
51647
Title
Rényi Divergence and Kullback-Leibler Divergence
Author
van Erven, Tim ; Harremoes, Peter
Author_Institution
Dept. de Math., Univ. Paris-Sud, Orsay, France
Volume
60
Issue
7
fYear
2014
fDate
Jul-14
Firstpage
3797
Lastpage
3820
Abstract
Rényi divergence is related to Rényi entropy much like Kullback-Leibler divergence is related to Shannon´s entropy, and comes up in many settings. It was introduced by Rényi as a measure of information that satisfies almost the same axioms as Kullback-Leibler divergence, and depends on a parameter that is called its order. In particular, the Rényi divergence of order 1 equals the Kullback-Leibler divergence. We review and extend the most important properties of Rényi divergence and Kullback- Leibler divergence, including convexity, continuity, limits of σ-algebras, and the relation of the special order 0 to the Gaussian dichotomy and contiguity. We also show how to generalize the Pythagorean inequality to orders different from 1, and we extend the known equivalence between channel capacity and minimax redundancy to continuous channel inputs (for all orders) and present several other minimax results.
Keywords
algebra; entropy; minimax techniques; σ-algebras; Gaussian contiguity; Gaussian dichotomy; Kullback-Leibler divergence; Pythagorean inequality; Rényi divergence; Rényi entropy; Shannon entropy; channel capacity; continuity; continuous channel inputs; convexity; minimax redundancy; Bismuth; Convergence; Data processing; Entropy; Markov processes; Q measurement; Testing; (alpha) -divergence; Bhattacharyya distance; Kullback-Leibler divergence; Pythagorean inequality; R??nyi divergence; information divergence;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2320500
Filename
6832827
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