DocumentCode
67612
Title
On the Conditional Rényi Entropy
Author
Fehr, Serge ; Berens, Stefan
Author_Institution
Wiskunde & Inf., Amsterdam, Netherlands
Volume
60
Issue
11
fYear
2014
fDate
Nov. 2014
Firstpage
6801
Lastpage
6810
Abstract
The Rényi entropy of general order unifies the well-known Shannon entropy with several other entropy notions, like the min-entropy or collision entropy. In contrast to the Shannon entropy, there seems to be no commonly accepted definition for the conditional Rényi entropy: several versions have been proposed and used in the literature. In this paper, we reconsider the definition for the conditional Rényi entropy of general order as proposed by Arimoto in the seventies. We show that this particular notion satisfies several natural properties. In particular, we show that it satisfies monotonicity under conditioning, meaning that conditioning can only reduce the entropy, and (a weak form of) chain rule, which implies that the decrease in entropy due to conditioning is bounded by the number of bits one conditions on. None of the other suggestions for the conditional Rényi entropy satisfies both these properties. Finally, we show a natural interpretation of the conditional Rényi entropy in terms of (unconditional) Rényi divergence, and we show consistency with a recently proposed notion of conditional Rényi entropy in the quantum setting.
Keywords
minimum entropy methods; Rényi divergence; Shannon entropy; collision entropy; conditional Rényi entropy; minentropy entropy; quantum setting; Biomedical measurement; Entropy; Information theory; Joints; Measurement uncertainty; Random variables; Uncertainty; Conditial R??nyi entropy; R??nyi divergence; monotonicity and chain rule; quantum R??nyi entropy;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2357799
Filename
6898022
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