dc.contributor.author | Makur, Anuran | |
dc.contributor.author | Polyanskiy, Yury | |
dc.date.accessioned | 2019-07-22T17:54:47Z | |
dc.date.available | 2019-07-22T17:54:47Z | |
dc.date.issued | 2017-06 | |
dc.identifier.isbn | 9781509040964 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/121869 | |
dc.description.abstract | Consider 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.sponsorship | National Science Foundation (U.S.). Career Award (Grant CCF-12-53205) | en_US |
dc.description.sponsorship | National Science Foundation (U.S.). Center for Science of Information (Grant CCF-09-39370) | en_US |
dc.language.iso | en | |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | 10.1109/isit.2017.8006972 | en_US |
dc.rights | Creative Commons Attribution 3.0 unported license | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | MIT web domain | en_US |
dc.title | Less noisy domination by symmetric channels | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Makur, 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.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.relation.journal | 2017 IEEE International Symposium on Information Theory (ISIT) | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-07-01T17:29:18Z | |
dspace.date.submission | 2019-07-01T17:29:18Z | |