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On monotonicity and superadditivity properties of the entropy function
Published online by Cambridge University Press: 17 February 2009
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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- Research Article
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- Copyright © Australian Mathematical Society 2001