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A Variational Characterization of Rényi Divergences

机译:Rényi散度的变化特征

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摘要

Atar, Chowdhary and Dupuis have recently exhibited a variational formula for exponential integrals of bounded measurable functions in terms of Rényi divergences. We show that a variational characterization of the Rényi 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 Rényi 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.
机译:Atar,Chowdhary和Dupuis最近针对Rényi散度展示了有界可测函数的指数积分的变分公式。我们证明,相对可熵空间上的可测空间上两个概率分布之间的Rényi散度的变分刻画,与相对可熵的有限可测函数指数积分的基本变分公式结合时,得出Atar的变分公式,Chowdhary和Dupuis作为推论。然后,我们根据相对熵率,对两个固定有限状态马尔可夫链之间的Rényi发散率进行了类似的变分表征。当结合Varadhan对具有相对负项的非负项的方阵的光谱半径的变化特征进行描述时,这产生了一个Atar,Chowdary和Dupuis的变分公式在平稳有限状态Markov链的框架中的一个类似物。

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