The Projection Methods for Computing the Pseudospectra of Large Scale Matrices

The projection methods, usually viewed as the methods for computing eigenvalues, can also be used to estimate pseudospectra. This paper proposes a kind of projection methods for computing the pseudospectra of large scale matrices, including orthogonalization projection method and oblique projection method respectively. This possibility may be of practical importance in applications involving large scale highly nonnormal matrices. Numerical algorithms are given and some numerical experiments illustrate the efficiency of the new algorithms.




References:
[1] L.N.Trefethen. Spectra and pseudospectra: The behavior of nonnormal
matrices and operator. 2005, Princeton University Press, Princeton.
[2] L.N.Trefethen. Pseudospectra of linear operators. SIAM Review, 1997,
39(3):383-406.
[3] L.N.Trefethen. Computation of pseudospectra. Acta Numerica ,1999,
Cambridge:Cambridge University Press, 247-295.
[4] T.G.Wright,L.N.Trefethen. Large-scale computation of pseudospectra
using ARPACK and eigs. SIAM J.Sci. Comput., 2001, 23(2):591-605.
[5] K.C.Toh,L.N.Trefethen. Calculation of pseudospectra by the Arnoldi
iteration. SIAM J.Sci. Comput., 1996, 17(1):1-15.
[6] Y.M.Shen, J.X.Zhao, and H.J.Fan. Properties and computations of matrix
pseudospectra. Applied Mathematics and Computation, 2005, 161:385-
393.
[7] T.Braconnier, N.J.Higham. Computing the field of values and pseudospectra
using the Lanczos method with continuation. BIT, 1996,
36(3):422-440.
[8] M.Bruhl. A curve tracing algorthim for computing the pseudospectrum.
BIT, 1996, 36(3):441-454.
[9] P.Lancaster, P.Psarrokos. On the pseudospectra of matrix polynomials.
SIAM J. Matrix Anal. Appl., 2005, 27(1):115-129.
[10] F.Tisseur, N.J.Highm. Structured pseudospectra for polynomial eigenvalue
problems, with applications. SIAM J. Matrix Anal. Appl., 2001,
23(1):187-208.
[11] G.H.Golub, C.F.Van Loan. Matrix computations, 2nd ed., Johns Hopkins
University Press,Baltimore,MD,1989.
[12] Y.Saad. Numerical methods for large eigenvalue problems, Manchester
University Press,Manchester,UK,1992.
[13] Z.J.Bai, J.Demmel, J.Dongarra, A.Ruhe, H. van der Vorst. Templates for
the solution of algebraic eigenvalue problems: A practical guide. 2000,
SIAM Philadelphia.
[14] H.A. van Vorst. Computational methods for large eigenvalue problems.
2002, North-Holland(Elsevier), Amsterdam.
[15] N. M. Nachtigal, S. C. Reddy, L.N.Trefethen. A hybrid GMRES
algorithm for nonsymmetric liner systems. SIAM J.Matrix Anal. Appl.,
1992,13:796-825.
[16] F. chattin-Chatelin, V. Toumazou, E. Traviesas. Accuracy assessment for
eigencomputations:Variety of backward errors and pseudospectra. Linear
Algebra Appl.,2000,309:73-83.
[17] S.H.Lui, Computation of pseudospectra by continuation. SIAM J. Sci.
Comput., 1997, 18:565-573
[18] N.J.Higham, F.Tisseur, More on pseudospectra for polynomial eigenvalue
problems and applications in control theory. Linear Algebra Appl.,
2002,351-352:435-453.
[19] S.M.Rump. Eigenvalues,pseudospectrum and structured perturbations.
Linear Algebra and its Applications,2006,413: 567-593.
[20] L.N.Trefethen,Marco Contedini,Mark Embree. Spectra ,Pseudospectra,
and Localization for Random Bidiagonal Matrices. Communications
on Pure and Applied Mathematics,2000,54: 595-623.
[21] Stef Graillat. A note on structured pseudospectra. Journal of Computational
and Applied Mathematics,2006,191: 68-76.
[22] T.G.Wright,L.N.Trefethen. Pseudospectra of rectangular matrices. IMA
Journal of Numerical Analysis,2002,22: 501-519.