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Beyond the Entropy Power Inequality, via Rearrangements

机译:通过重排超越了熵幂不等式

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摘要

A lower bound on the Rényi differential entropy of a sum of independent random vectors is demonstrated in terms of rearrangements. For the special case of Boltzmann–Shannon entropy, this lower bound is better than that given by the entropy power inequality. Several applications are discussed, including a new proof of the classical entropy power inequality and an entropy inequality involving symmetrization of Lévy processes.
机译:就重排而言,证明了独立随机向量之和的Rényi微分熵的下界。对于Boltzmann-Shannon熵的特殊情况,该下界比熵幂不等式给出的下界更好。讨论了几种应用,包括经典熵幂不等式的新证明和涉及Lévy过程对称化的熵不等式。

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