Matrix analysis
Spectral value sets: a graphical tool for robustness analysis
Systems & Control Letters
Structured Pseudospectra for Polynomial Eigenvalue Problems, with Applications
SIAM Journal on Matrix Analysis and Applications
Structured Perturbations Part I: Normwise Distances
SIAM Journal on Matrix Analysis and Applications
| Hi-index | 7.29 |
In this note, we study the notion of structured pseudospectra. We prove that for Toeplitz, circulant, Hankel and symmetric structures, the structured pseudospectrum equals the unstructured pseudospectrum. We show that this is false for Hermitian and skew-Hermitian structures. We generalize the result to pseudospectra of matrix polynomials. Indeed, we prove that the structured pseudospectrum equals the unstructured pseudospectrum for matrix polynomials with Toeplitz, circulant, Hankel and symmetric structures. We conclude by giving a formula for structured pseudospectra of real matrix polynomials. The particular type of perturbations used for these pseudospectra arise in control theory.