Abstract We consider the perturbation properties of the eigensolution of Hermitian matrices. For the matrix entries and the eigenvalues we use the realistic “floating-point” error measure |δa/a|. Recently, Demmel and Veselic considered the same problem for a positive definite matrix H, showing that the floating-point perturbation theory holds with constants depending on the condition number of the matrix A=DHD, where Aii=1 and D is a diagonal scaling. We study the general Hermitian case along the same lines, thus obtaining new classes of well-behaved matrices and matrix pairs. Our theory is applicable to the already known class of scaled diagonally dominant matrices as well as to matrices given by factors—like those in symmetric indefinite decompositions. We also obtain norm estimates for the perturbations of the eigenprojections, and show that some of our techniques extend to non-Hermitian matrices. However, unlike in the positive definite case, we are still unable to describe simply the set of all well-behaved Hermitian matrices.
[1]
J. Barlow,et al.
Computing accurate eigensystems of scaled diagonally dominant matrices: LAPACK working note No. 7
,
1988
.
[2]
K. Hadeler.
Variationsprinzipien bei nichtlinearen Eigenwertaufgaben
,
1968
.
[3]
J. H. Wilkinson.
The algebraic eigenvalue problem
,
1966
.
[4]
James Demmel,et al.
Jacobi's Method is More Accurate than QR
,
1989,
SIAM J. Matrix Anal. Appl..
[5]
J. Bunch,et al.
Direct Methods for Solving Symmetric Indefinite Systems of Linear Equations
,
1971
.
[6]
Allan O. Steinhardt,et al.
The hyberbolic singular value decomposition and applications
,
1990,
Fifth ASSP Workshop on Spectrum Estimation and Modeling.
[7]
James Demmel,et al.
Accurate Singular Values of Bidiagonal Matrices
,
1990,
SIAM J. Sci. Comput..
[8]
Tosio Kato.
Perturbation theory for linear operators
,
1966
.
[9]
A. Sluis.
Condition numbers and equilibration of matrices
,
1969
.