Abstract
Many axiomatic definitions of entropy, such as the Rényi entropy, of a random variable are closely related to the -norm of its probability distribution. This study considers probability distributions on finite sets, and examines the sharp bounds of the -norm with a fixed -norm, , for -dimensional probability vectors with an integer . From the results, we derive the sharp bounds of the Rényi entropy of positive order with a fixed Rényi entropy of another positive order . As applications, we investigate sharp bounds of Ariomoto's mutual information of order and Gallager's random coding exponents for uniformly focusing channels under the uniform input distribution.
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