Publisher： Cambridge University Press
E-ISSN： 1446-8735|42|4|515-531
ISSN： 1446-1811
Source： ANZIAM Journal, Vol.42, Iss.4, 2001-04, pp. : 515-531
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Abstract
We apply superadditivity and monotonicity properties associated with the Jensen discrete inequality to derive relationships between the entropy function of a probability vector and a renormalized arbitrary sub-vector. The results are extended to cover other entropy measures such as joint entropy, conditional entropy and mutual information.
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