Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/44195
Title: Worst-case results for positive semidefinite rank
Authors: Gouveia, João 
Robinson, Richard Z. 
Thomas, Rekha R. 
Issue Date: 2015
Publisher: Springer
Project: info:eu-repo/grantAgreement/FCT/COMPETE/132981/PT 
metadata.degois.publication.title: Mathematical Programming
metadata.degois.publication.volume: 153
metadata.degois.publication.issue: 1
Abstract: We present various worst-case results on the positive semidefinite (psd) rank of a nonnegative matrix, primarily in the context of polytopes. We prove that the psd rank of a generic n-dimensional polytope with v vertices is at least (nv)^{\frac{1}{4}} improving on previous lower bounds. For polygons with v vertices, we show that psd rank cannot exceed 4⌈v/6⌉ which in turn shows that the psd rank of a p×q matrix of rank three is at most 4⌈min{p,q}/6⌉. In general, a nonnegative matrix of rank {k+1 \atopwithdelims ()2} has psd rank at least k and we pose the problem of deciding whether the psd rank is exactly k. Using geometry and bounds on quantifier elimination, we show that this decision can be made in polynomial time when k is fixed.
URI: https://hdl.handle.net/10316/44195
DOI: 10.1007/s10107-015-0867-4
10.1007/s10107-015-0867-4
Rights: embargoedAccess
Appears in Collections:I&D CMUC - Artigos em Revistas Internacionais

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