DocumentCode
847230
Title
Balanced information inequalities
Author
Chan, Terence H.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
Volume
49
Issue
12
fYear
2003
Firstpage
3261
Lastpage
3267
Abstract
In this correspondence, we are interested in linear information inequalities, both discrete and continuous ones. We show that every discrete information inequality is associated with a "balanced" information inequality and a set of "residual weights." To prove the inequality, it is necessary and sufficient to prove that its "balanced" version is valid and all its residual weights are nonnegative. For a continuous information inequality, we prove that it is valid if and only if its discrete counterpart is balanced and valid.
Keywords
entropy; group theory; information theory; probability; balanced information inequality; discrete information inequality; group inequality; linear information inequality; quasiuniform random variable; residual weight; Channel coding; Codes; Cramer-Rao bounds; Entropy; Information theory; Mutual information; Random variables;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2003.820037
Filename
1255551
Link To Document