Bilinear optimality constraints for the cone of positive polynomials

For a proper cone and its dual cone the complementary slackness condition defines an n -dimensional manifold in the space . When is a symmetric cone, points in must satisfy at least n linearly independent bilinear identities. This fact proves to be useful when optimizing over such cones, therefore i...

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Bibliographic Details
Published in:Mathematical programming Vol. 129; no. 1; pp. 5 - 31
Main Authors: Rudolf, Gábor, Noyan, Nilay, Papp, Dávid, Alizadeh, Farid
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer-Verlag 01.09.2011
Springer Nature B.V
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ISSN:0025-5610, 1436-4646
Online Access:Get full text
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Summary:For a proper cone and its dual cone the complementary slackness condition defines an n -dimensional manifold in the space . When is a symmetric cone, points in must satisfy at least n linearly independent bilinear identities. This fact proves to be useful when optimizing over such cones, therefore it is natural to look for similar bilinear relations for non-symmetric cones. In this paper we define the bilinearity rank of a cone, which is the number of linearly independent bilinear identities valid for points in . We examine several well-known cones, in particular the cone of positive polynomials and its dual, and show that there are exactly four linearly independent bilinear identities which hold for all , regardless of the dimension of the cones. For nonnegative polynomials over an interval or half-line there are only two linearly independent bilinear identities. These results are extended to trigonometric and exponential polynomials. We prove similar results for Müntz polynomials.
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ISSN:0025-5610
1436-4646
DOI:10.1007/s10107-011-0458-y