Strict spectral approximation of a matrix and some related problems
Volume 24 / 1997
Applicationes Mathematicae 24 (1997), 267-280
DOI: 10.4064/am-24-3-267-280
Abstract
We show how the strict spectral approximation can be used to obtain characterizations and properties of solutions of some problems in the linear space of matrices. Namely, we deal with (i) approximation problems with singular values preserving functions, (ii) the Moore-Penrose generalized inverse. Some properties of approximation by positive semi-definite matrices are commented.
