Optimal transportation to the entropy-power inequality

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a simple proof of the entropy-power inequality using an optimal transportation argument which takes the form of a simple change of variables. The same argument yields a reverse inequality involving a conditional differential entropy which has its own interest. It can also be generalized in various ways. The equality case is easily captured by this method and the proof is formally identical in one and several dimensions.

Original languageEnglish
Title of host publication2017 Information Theory and Applications Workshop, ITA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509052936
DOIs
Publication statusPublished - 30 Aug 2017
Externally publishedYes
Event2017 Information Theory and Applications Workshop, ITA 2017 - San Diego, United States
Duration: 12 Feb 201717 Feb 2017

Publication series

Name2017 Information Theory and Applications Workshop, ITA 2017

Conference

Conference2017 Information Theory and Applications Workshop, ITA 2017
Country/TerritoryUnited States
CitySan Diego
Period12/02/1717/02/17

Fingerprint

Dive into the research topics of 'Optimal transportation to the entropy-power inequality'. Together they form a unique fingerprint.

Cite this