In this paper we examine how the matrix exponenetial $e^{At}$ is affected by perterbations in A. Elementary techniques using log norms and the Jordan and Schur factorizations indicate that $e^{At}$ is least sensitive when A is normal. Through the formulation of an exponential condition number, insight is gained into the connection between the condition of the eigensystem of A and the sensitivity of $e^{At}$
It is shown that for two square matrices A and B with algebraic elements, eAeB=eBeA if and only if A...
AbstractThis paper surveys the development of the sensitivity analysis of multiple eigenvalues and t...
Several relative condition numbers that exploit tridiagonal form are derived. Some of them use tridi...
. For matrices with a single eigenvalue the sensitivity of the eigenvalue to perturbations in the ma...
AbstractLet M be an n × n real matrix, and let Exy be the elementary matrix with 1 in the (x, y) pos...
Title: Sensitivity and perturbation analysis of nonlinear eigenvalue Abstract: We discuss a general ...
AbstractGiven n-by-n matrices A and E, a characterization of the sensitivity of eigenvalues of A wit...
This report brings together a wide variety of facts concerning the matrix exponential. Against a bac...
AbstractWe develop a method based on the additive perturbation of a nonnegative irreducible matrix t...
AbstractPerturbation bounds for invariant subspaces and eigenvalues of complex matrices are presente...
Abstract. This paper gives sensitivity analyses by two approaches for L and U in the factor-ization ...
Let Pm(z) be a matrix polynomial of degree m whose coefficients At <FONT FACE=Symbol>Î</FONT> Cq×q s...
. We show that three well-known perturbation bounds for matrix eigenvalues imply relative bounds: th...
summary:We are concerned with bounds of the matrix eigenvalues and its exponential. Combining the Ly...
International audienceThis paper considers the eigenvectors involved in rank one perturbations of sy...
It is shown that for two square matrices A and B with algebraic elements, eAeB=eBeA if and only if A...
AbstractThis paper surveys the development of the sensitivity analysis of multiple eigenvalues and t...
Several relative condition numbers that exploit tridiagonal form are derived. Some of them use tridi...
. For matrices with a single eigenvalue the sensitivity of the eigenvalue to perturbations in the ma...
AbstractLet M be an n × n real matrix, and let Exy be the elementary matrix with 1 in the (x, y) pos...
Title: Sensitivity and perturbation analysis of nonlinear eigenvalue Abstract: We discuss a general ...
AbstractGiven n-by-n matrices A and E, a characterization of the sensitivity of eigenvalues of A wit...
This report brings together a wide variety of facts concerning the matrix exponential. Against a bac...
AbstractWe develop a method based on the additive perturbation of a nonnegative irreducible matrix t...
AbstractPerturbation bounds for invariant subspaces and eigenvalues of complex matrices are presente...
Abstract. This paper gives sensitivity analyses by two approaches for L and U in the factor-ization ...
Let Pm(z) be a matrix polynomial of degree m whose coefficients At <FONT FACE=Symbol>Î</FONT> Cq×q s...
. We show that three well-known perturbation bounds for matrix eigenvalues imply relative bounds: th...
summary:We are concerned with bounds of the matrix eigenvalues and its exponential. Combining the Ly...
International audienceThis paper considers the eigenvectors involved in rank one perturbations of sy...
It is shown that for two square matrices A and B with algebraic elements, eAeB=eBeA if and only if A...
AbstractThis paper surveys the development of the sensitivity analysis of multiple eigenvalues and t...
Several relative condition numbers that exploit tridiagonal form are derived. Some of them use tridi...