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On eigenvalues of symmetric matrices with PSD principal submatrices

Kozhasov, Khazhgali
2023
  • journal article

Periodico
JOURNAL OF SYMBOLIC COMPUTATION
Abstract
We investigate convexity properties of the set of eigenvalue tuples of n x n real symmetric matrices, all of whose k x k (where k < n is fixed) minors are positive semidefinite. We prove that the set lambda(Sn,k) of eigenvalue vectors of all such matrices is star-shaped with respect to the nonnegative orthant Rn >0 and not convex already when (n, k) = (4, 2). We also show that k is the smallest integer such that Sn,kis a linear projection of a set described by linear matrix inequalities of size k. (c) 2023 Elsevier Ltd. All rights reserved.
DOI
10.1016/j.jsc.2023.02.003
WOS
WOS:000951961500001
Archivio
https://hdl.handle.net/20.500.11767/142261
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85150835872
https://arxiv.org/abs/2103.15811
https://ricerca.unityfvg.it/handle/20.500.11767/142261
Diritti
open access
Soggetti
  • Positive semidefine m...

  • Eigenvalues

  • Semidefinite represen...

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