Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

On Schur Forms for Matrices with Simple Eigenvalues

View through CrossRef
In this paper we consider the standard Schur problem for a square matrix A, namely the similarity unitary transformation of A into upper Schur form containing the eigenvalues of A on its diagonal. Since the profound work of Issai Schur (1909), this is a fundamental issue in the theory and applications of matrices. Nevertheless, certain details concerning the Schur problem need further clarification especially in connection with the perturbation analysis of the Schur decomposition relative to perturbations in A. In particular, the concept of regular solution to the perturbed Schur form is introduced and illustrated by several examples. We also introduce the concepts of diagonally spectral matrices and of quasi-Schur condensed forms of a matrix A, and show that they may be much less sensitive to perturbations in A.
Title: On Schur Forms for Matrices with Simple Eigenvalues
Description:
In this paper we consider the standard Schur problem for a square matrix A, namely the similarity unitary transformation of A into upper Schur form containing the eigenvalues of A on its diagonal.
Since the profound work of Issai Schur (1909), this is a fundamental issue in the theory and applications of matrices.
Nevertheless, certain details concerning the Schur problem need further clarification especially in connection with the perturbation analysis of the Schur decomposition relative to perturbations in A.
In particular, the concept of regular solution to the perturbed Schur form is introduced and illustrated by several examples.
We also introduce the concepts of diagonally spectral matrices and of quasi-Schur condensed forms of a matrix A, and show that they may be much less sensitive to perturbations in A.

Related Results

Combinatorial aspects of generalizations of Schur functions
Combinatorial aspects of generalizations of Schur functions
The understanding of the space of symmetric functions is gained through the study of its bases. Certain bases can be dened by purely combinatorial methods, sometimes enabling impor...
The q-Schur Algebra
The q-Schur Algebra
This book focuses on the representation theory of q-Schur algebras and connections with the representation theory of Hecke algebras and quantum general linear groups. The aim is to...
SCHUR MULTIPLICATIVE MAPS ON MATRICES
SCHUR MULTIPLICATIVE MAPS ON MATRICES
AbstractThe structure of Schur multiplicative maps on matrices over a field is studied. The result is then used to characterize Schur multiplicative maps f satisfying $f(S) \subset...
Methods for detecting “missing” dimensions in genetic covariance matrices
Methods for detecting “missing” dimensions in genetic covariance matrices
AbstractBlows and Hoffmann (2005) and others have suggested that low levels of genetic variation in some dimensions of an additive genetic variance-covariance matrix (G) will be de...
Subespacios hiperinvariantes y característicos : una aproximación geométrica
Subespacios hiperinvariantes y característicos : una aproximación geométrica
The aim of this thesis is to study the hyperinvariant and characteristic subspaces of a matrix, or equivalently, of an endomorphism of a finite dimensional vector space. We restric...
Mòduls locals de sistemes dinàmics lineals amb coeficients constants
Mòduls locals de sistemes dinàmics lineals amb coeficients constants
La present memòria estudia l'estabilitat estructural de ternes de matrius. Es ben conegut que els sistemes dinàmic lineals amb coeficients constants poden venir definits per ternes...
Non-Cytotoxic Cross-Linking of Bioactive Porcine Matrices
Non-Cytotoxic Cross-Linking of Bioactive Porcine Matrices
AbstractIncubating a porcine aortic valve matrix with a platelet gel (PG) concentrate creates a bioactive matrix which is loaded with growth factors. These matrices can be repopula...
Block imbedding and interlacing results for normal matrices
Block imbedding and interlacing results for normal matrices
A pair of matrices is said to be imbeddable precisely when one is an isometric projection of the other on a suitable subspace. The concept of imbedding has been the subject of exte...

Back to Top