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.
On eigenvalues of symmetric matrices with PSD principal submatrices / Kozhasov, Khazhgali. - In: JOURNAL OF SYMBOLIC COMPUTATION. - ISSN 0747-7171. - 119:(2023), pp. 90-100. [10.1016/j.jsc.2023.02.003]
On eigenvalues of symmetric matrices with PSD principal submatrices
Kozhasov, Khazhgali
2023-01-01
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.File | Dimensione | Formato | |
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