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dc.contributor.authorMakur, Anuran
dc.contributor.authorPolyanskiy, Yury
dc.date.accessioned2019-07-22T17:54:47Z
dc.date.available2019-07-22T17:54:47Z
dc.date.issued2017-06
dc.identifier.isbn9781509040964
dc.identifier.urihttps://hdl.handle.net/1721.1/121869
dc.description.abstractConsider the family of all q-ary symmetric channels (q-SCs) with capacities decreasing from log(q) to 0. This paper addresses the following question: what is the member of this family with the smallest capacity that dominates a given channel V in the 'less noisy' preorder sense. When the q-SCs are replaced by q-ary erasure channels, this question is known as the 'strong data processing inequality.' We provide several equivalent characterizations of the less noisy preorder in terms of x2-divergence, Lowner (PSD) partial order, and spectral radius. We then illustrate a simple criterion for domination by a q-SC based on degradation, and mention special improvements for the case where V is an additive noise channel over an Abelian group of order q. Finally, as an application, we discuss how logarithmic Sobolev inequalities for q-SCs, which are well-studied, can be transported to an arbitrary channel V.en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Career Award (Grant CCF-12-53205)en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Center for Science of Information (Grant CCF-09-39370)en_US
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/isit.2017.8006972en_US
dc.rightsCreative Commons Attribution 3.0 unported licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleLess noisy domination by symmetric channelsen_US
dc.typeArticleen_US
dc.identifier.citationMakur, Anuran and Yury Polyanskiy. "Less Noisy Domination by Symmetric Channels." 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 25-30 June 2017.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journal2017 IEEE International Symposium on Information Theory (ISIT)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-07-01T17:29:18Z
dspace.date.submission2019-07-01T17:29:18Z


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