An Extremal Inequality Motivated by Multiterminal Information Theoretic Problems

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dc.creatorLiu, Tie
dc.creatorViswanath, Pramod
dc.date2006-04-07
dc.date2006-11-07
dc.date.accessioned2026-07-07T08:16:28Z
dc.date.available2026-07-07T08:16:28Z
dc.descriptionWe prove a new extremal inequality, motivated by the vector Gaussian broadcast channel and the distributed source coding with a single quadratic distortion constraint problems. As a corollary, this inequality yields a generalization of the classical entropy-power inequality (EPI). As another corollary, this inequality sheds insight into maximizing the differential entropy of the sum of two dependent random variables.
dc.description32 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/cs/0604025
dc.identifierhttp://arxiv.org/abs/cs/0604025
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133788
dc.subjectInformation Theory
dc.titleAn Extremal Inequality Motivated by Multiterminal Information Theoretic Problems
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