dc.creatorCorach, Gustavo
dc.creatorStojanoff, Demetrio
dc.date2001
dc.date2019-11-04T13:30:12Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/84728
dc.identifierissn:0024-3795
dc.descriptionFor each n×n positive semidefinite matrix A we define the minimal index I(A)=max{λ≥0:A∘B≥λB for all B≥0} and, for each norm N, the N-index I<SUB>N</SUB>(A)=min{N(A∘B):B≥0 and N(B)=1}, where A ∘ B=[a<SUB>ij</SUB>b<SUB>ij</SUB>] is the Hadamard or Schur product of A=[a<SUB>ij</SUB>] and B=[b<SUB>ij</SUB>] and B≥0 means that B is a positive semidefinite matrix. A comparison between these indexes is done, for different choices of the norm N. As an application we find, for each bounded invertible selfadjoint operator S on a Hilbert space, the best constant M(S) such that ∥STS+S<SUP>-1</SUP>TS<SUP>-1</SUP>∥≥M(S)∥T∥ for all T≥0.
dc.descriptionFacultad de Ciencias Exactas
dc.formatapplication/pdf
dc.format503-517
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Exactas
dc.subjectMatemática
dc.subject47A30
dc.subject47B15
dc.subjectHadamard product
dc.subjectNorm inequalities
dc.subjectPositive semidefinite matrices
dc.titleIndex of Hadamard multiplication by positive matrices II
dc.typeArticulo
dc.typeArticulo


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