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Building a completely positive factorization

A symmetric matrix of order n is called completely positive if it has a symmetric factorization by means of a rectangular matrix with n columns and no negative entries (a so-called cp factorization), i.e., if it can be interpreted as a Gram matrix of n directions in the positive orthant of another E...

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Autor principal: Bomze, Immanuel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945802/
https://www.ncbi.nlm.nih.gov/pubmed/29773964
http://dx.doi.org/10.1007/s10100-017-0499-2
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author Bomze, Immanuel M.
author_facet Bomze, Immanuel M.
author_sort Bomze, Immanuel M.
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description A symmetric matrix of order n is called completely positive if it has a symmetric factorization by means of a rectangular matrix with n columns and no negative entries (a so-called cp factorization), i.e., if it can be interpreted as a Gram matrix of n directions in the positive orthant of another Euclidean space of possibly different dimension. Finding this factor therefore amounts to angle packing and finding an appropriate embedding dimension. Neither the embedding dimension nor the directions may be unique, and so many cp factorizations of the same given matrix may coexist. Using a bordering approach, and building upon an already known cp factorization of a principal block, we establish sufficient conditions under which we can extend this cp factorization to the full matrix. Simulations show that the approach is promising also in higher dimensions.
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spelling pubmed-59458022018-05-15 Building a completely positive factorization Bomze, Immanuel M. Cent Eur J Oper Res Original Paper A symmetric matrix of order n is called completely positive if it has a symmetric factorization by means of a rectangular matrix with n columns and no negative entries (a so-called cp factorization), i.e., if it can be interpreted as a Gram matrix of n directions in the positive orthant of another Euclidean space of possibly different dimension. Finding this factor therefore amounts to angle packing and finding an appropriate embedding dimension. Neither the embedding dimension nor the directions may be unique, and so many cp factorizations of the same given matrix may coexist. Using a bordering approach, and building upon an already known cp factorization of a principal block, we establish sufficient conditions under which we can extend this cp factorization to the full matrix. Simulations show that the approach is promising also in higher dimensions. Springer Berlin Heidelberg 2017-11-15 2018 /pmc/articles/PMC5945802/ /pubmed/29773964 http://dx.doi.org/10.1007/s10100-017-0499-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Bomze, Immanuel M.
Building a completely positive factorization
title Building a completely positive factorization
title_full Building a completely positive factorization
title_fullStr Building a completely positive factorization
title_full_unstemmed Building a completely positive factorization
title_short Building a completely positive factorization
title_sort building a completely positive factorization
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945802/
https://www.ncbi.nlm.nih.gov/pubmed/29773964
http://dx.doi.org/10.1007/s10100-017-0499-2
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