AbstractWe determine the inertia of a linear real symmetric matrix pencil A(t)=A−tB of order n as a function of the parameter t. Finding the critical values where the inertia of A(t) changes is reduced to determining the real eigenvalues of a (not necessarily symmetric) matrix. The order of this matrix is at most r+s−r1, where r, s, and r1 are the ranks of A, B, and [A B], respectively. We illustrate the method by means of a numerical example. Then we reduce determining the inertia of a quadratic real symmetric matrix pencil A(t)=A −tB1−t2B2 to the linear case. Our results are extensions of those by Caron and Gould
© 2017 Informa UK Limited, trading as Taylor & Francis Group In many areas of applied linear algebra...
AbstractIterative algorithms for the eigensolution of symmetric pencils of matrices are considered. ...
AbstractThe problem is considered how to obtain the eigenvalues and vectors of a matrix A+VVT where ...
AbstractWe determine the inertia of a linear real symmetric matrix pencil A(t)=A−tB of order n as a ...
AbstractWe define and study generalized pencil eigenvalues for a pencil P(S, T) of real symmetric ma...
AbstractWe show that the inertia of a quadratic matrix polynomial is determined in terms of the iner...
AbstractThis paper gives a group of expansion formulas for the inertias of Hermitian matrix polynomi...
AbstractUsing elementary matrix algebra we establish the following theorems: (1.3) Let H be any n×n ...
Several decompositions of symmetric matrices for calculating inertia and solving systems of linear e...
AbstractLet A and B be Hermitian matrices and P = λA + μB where (λ,μ)ϵR2. Using parametric dependenc...
Bibliography: pages 76-78.This thesis is devoted to the study of numerical comparison with respect t...
AbstractThe main concern of this work is a description of inertia characteristics applicable to both...
AbstractWe develop a constructive procedure for generating nonsingular solutions of the matrix equat...
. The Rational Krylov algorithm computes eigenvalues and eigenvectors of a regular not necessarily s...
AbstractIf H is a Hermitian matrix and W = AH + HA∗ is positive definite, then A has as many eigenva...
© 2017 Informa UK Limited, trading as Taylor & Francis Group In many areas of applied linear algebra...
AbstractIterative algorithms for the eigensolution of symmetric pencils of matrices are considered. ...
AbstractThe problem is considered how to obtain the eigenvalues and vectors of a matrix A+VVT where ...
AbstractWe determine the inertia of a linear real symmetric matrix pencil A(t)=A−tB of order n as a ...
AbstractWe define and study generalized pencil eigenvalues for a pencil P(S, T) of real symmetric ma...
AbstractWe show that the inertia of a quadratic matrix polynomial is determined in terms of the iner...
AbstractThis paper gives a group of expansion formulas for the inertias of Hermitian matrix polynomi...
AbstractUsing elementary matrix algebra we establish the following theorems: (1.3) Let H be any n×n ...
Several decompositions of symmetric matrices for calculating inertia and solving systems of linear e...
AbstractLet A and B be Hermitian matrices and P = λA + μB where (λ,μ)ϵR2. Using parametric dependenc...
Bibliography: pages 76-78.This thesis is devoted to the study of numerical comparison with respect t...
AbstractThe main concern of this work is a description of inertia characteristics applicable to both...
AbstractWe develop a constructive procedure for generating nonsingular solutions of the matrix equat...
. The Rational Krylov algorithm computes eigenvalues and eigenvectors of a regular not necessarily s...
AbstractIf H is a Hermitian matrix and W = AH + HA∗ is positive definite, then A has as many eigenva...
© 2017 Informa UK Limited, trading as Taylor & Francis Group In many areas of applied linear algebra...
AbstractIterative algorithms for the eigensolution of symmetric pencils of matrices are considered. ...
AbstractThe problem is considered how to obtain the eigenvalues and vectors of a matrix A+VVT where ...