Title :
Characterization of the smooth Rényi Entropy Using Majorization
Author_Institution :
Fac. of Syst. & Inf., Univ. of Tsukuba, Tsukuba, Japan
Abstract :
This paper unveils a new connection between majorization theory and the smooth Rényi entropy of order α. We completely characterize the subprobability distribution that attains the infimum included in the definition of the smooth Rényi entropy Hαε(p) of order α by using the notions of majorization and the Schur convexity/concavity, where p denotes a probability distribution on a discrete alphabet and ε ϵ [0,1) is an arbitrarily given constant. We can apply the obtained result to characterization of asymptotic behavior of 1/n Hαε(p) as n → ∞ for general sources satisfying the strong converse property.
Keywords :
entropy; statistical distributions; Schur concavity; Schur convexity; asymptotic behavior; discrete alphabet; majorization theory; smooth Renyi entropy; subprobability distribution; Educational institutions; Electronic mail; Encoding; Entropy; Probability distribution; Random variables; Upper bound;
Conference_Titel :
Information Theory Workshop (ITW), 2013 IEEE
Conference_Location :
Sevilla
Print_ISBN :
978-1-4799-1321-3
DOI :
10.1109/ITW.2013.6691332