Extremal Relations Between Shannon Entropy and $\ell_α$-Norm

Yuta Sakai; Ken-ichi Iwata

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arXiv · 1601.07678

Extremal Relations Between Shannon Entropy and $\ell_α$-Norm

Yuta Sakai·Ken-ichi Iwata

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Abstract

The paper examines relationships between the Shannon entropy and the $\ell_α$-norm for $n$-ary probability vectors, $n \ge 2$. More precisely, we investigate the tight bounds of the $\ell_α$-norm with a fixed Shannon entropy, and vice versa. As applications of the results, we derive the tight bounds between the Shannon entropy and several information measures which are determined by the $\ell_α$-norm, e.g., Rényi entropy, Tsallis entropy, the $R$-norm information, and some diversity indices. Moreover, we apply these results to uniformly focusing channels. Then, we show the tight bounds of Gallager's $E_{0}$ functions with a fixed mutual information under a uniform input distribution.

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Yuta Sakai, Ken-ichi Iwata. 2016-01-28. Extremal Relations Between Shannon Entropy and $\ell_α$-Norm. https://arxiv.org/abs/1601.07678

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