A discrete complement of lyapunov's inequality and its information theoretic consequences

ANNALS OF APPLIED PROBABILITY(2023)

引用 0|浏览0
暂无评分
摘要
We establish a reversal of Lyapunov's inequality for monotone logconcave sequences, settling a conjecture of Havrilla-Tkocz and Melbourne- Tkocz. A strengthened version of the same conjecture is disproved through counter example. We also derive several information theoretic inequalities as consequences. In particular sharp bounds are derived for the varentropy, Renyi entropies, and the concentration of information of monotone logconcave random variables. Moreover, the majorization approach utilized in the proof of the main theorem, is applied to derive analogous information theoretic results in the symmetric setting, where the Lyapunov reversal is known to fail.
更多
查看译文
关键词
Log-concave sequences,reverse Lyapunov,concentration of information,Renyi entropy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要