Computing the Structured Pseudospectrum of a Toeplitz Matrix and Its Extreme Points

The computation of the structured pseudospectral abscissa and radius (with respect to the Frobenius norm) of a Toeplitz matrix is discussed and two algorithms based on a low-rank property to construct extremal perturbations are presented. The algorithms are inspired by those considered in [N. Guglielmi and M. Overton, SIAM J. Matrix Anal. Appl., 32 (2011), pp. 1166--1192] for the unstructured case, but their extension to structured pseudospectra and analysis presents several difficulties. Natural generalizations of the algorithms, allowing us to draw significant sections of the structured pseudospectra in proximity of extremal points, are also discussed. Since no algorithms are available in the literature to draw such structured pseudospectra, the approach we present seems promising to extend existing software tools (Eigtool, Seigtool) to structured pseudospectra representation for Toeplitz matrices. We discuss local convergence properties of the algorithms and show some applications to a few illustrative...

[1]  L. Trefethen,et al.  Eigenvalues and pseudo-eigenvalues of Toeplitz matrices , 1992 .

[2]  M. Overton,et al.  FAST APPROXIMATION OF THE H∞ NORM VIA OPTIMIZATION OVER SPECTRAL VALUE SETS∗ , 2012 .

[3]  Nicholas J. Higham,et al.  Backward Error and Condition of Structured Linear Systems , 1992, SIAM J. Matrix Anal. Appl..

[4]  Michael L. Overton,et al.  Fast Algorithms for the Approximation of the Pseudospectral Abscissa and Pseudospectral Radius of a Matrix , 2011, SIAM J. Matrix Anal. Appl..

[5]  Michael Karow,et al.  Structured Pseudospectra and the Condition of a Nonderogatory Eigenvalue , 2010, SIAM J. Matrix Anal. Appl..

[6]  S. Graillat A note on structured pseudospectra , 2006 .

[7]  Daniel Kressner,et al.  On the computation of structured singular values and pseudospectra , 2010, Syst. Control. Lett..

[8]  S. Rump EIGENVALUES, PSEUDOSPECTRUM AND STRUCTURED PERTURBATIONS , 2006 .

[9]  C. D. Meyer,et al.  Derivatives and perturbations of eigenvectors , 1988 .

[10]  Daniel Kressner,et al.  Structured Eigenvalue Condition Numbers , 2006, SIAM J. Matrix Anal. Appl..

[11]  A. Böttcher,et al.  On the Distance of a Large Toeplitz Band Matrix to the Nearest Singular Matrix , 2002 .

[12]  Silvia Noschese,et al.  Eigenvalue patterned condition numbers: Toeplitz and Hankel cases , 2007 .

[13]  L. Trefethen Spectra and pseudospectra , 2005 .

[14]  Nicola Guglielmi,et al.  Differential Equations for Roaming Pseudospectra: Paths to Extremal Points and Boundary Tracking , 2011, SIAM J. Numer. Anal..

[15]  Lothar Reichel,et al.  Tridiagonal Toeplitz matrices: properties and novel applications , 2013, Numer. Linear Algebra Appl..