A Variational Characterization of Renyi Divergences

被引:5
|
作者
Anantharam, Venkat [1 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
Markov chains; relative entropy; Renyi divergence; variational formulas;
D O I
10.1109/TIT.2018.2861013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Atar, Chowdhary, and Dupuis have recently exhibited a variational formula for exponential integrals of bounded measurable functions in terms of Renyi divergences. We show that a variational characterization of the Renyi divergences between two probability distributions on a measurable space in terms of relative entropies, when combined with the elementary variational formula for exponential integrals of bounded measurable functions in terms of relative entropy, yields the variational formula of Atar, Chowdhary, and Dupuis as a corollary. We then develop an analogous variational characterization of the Renyi divergence rates between two stationary finite state Markov chains in terms of relative entropy rates. When combined with Varadhan's variational characterization of the spectral radius of square matrices with nonnegative entries in terms of relative entropy, this yields an analog of the variational formula of Atar, Chowdary, and Dupuis in the framework of stationary finite state Markov chains.
引用
收藏
页码:6979 / 6989
页数:11
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