Multiplicities of the structured pseudoeigenvalues
2009
Abstract
The structured pseudospectra of a matrix A are sets of complex numbers that are eigenvalues of matrices X which are near to A and have the same entries as A at a fixed set of places. The sum of multiplicities of the eigenvalues of X inside each connected component of the structured pseudospectra of A does not depend on X. This fact is known, but not so much as it should be. For this reason, we give here an elementary and detailed proof of the result.
References (12)
- S. Barnett. Polynomials and Linear Control Systems. Marcel Dekker, Inc., New York, 1983. 5
- R. Bhatia. Matrix Analysis. Springer, 1997. 3
- J. V. Burke, A. S. Lewis, and M. L. Overton. Optimization and pseudospec- tra, with applications to robust stability. SIAM J. Matrix Anal. Appl., 25 (1):80-104, 2003. 3, 4
- M. Embree and L. N. Trefethen. Generalizing eigenvalue theorems to pseu- dospectra theorems. SIAM J. Sci. Comp., 23(2):583-590, 2001. 2, 4
- J.-C. Evard. On matrix functions which commute with their derivative. Linear Algebra Appl., 69:145-178, 1985. 8, 10
- J.-C. Evard and J.-M. Gracia. On similarities of class C p and applications to matrix differential equations. Linear Algebra Appl., 137/138:363-386, 1990. 9, 10
- I. Gohberg, P. Lancaster, and L. Rodman. Invariant Subspaces of Matrices with Applications. Wiley, 1986. 8
- M. Karow. Geometry of spectral value sets. PhD thesis, Universität of Bremen, 2003. 2, 3
- T. Kato. A Short Introduction to Perturbation Theory for Linear Operators. Springer, 1982. 3
- P. Lancaster and P. Psarrakos. On the pseudospectra of matrix polynomi- als. SIAM J. Matrix Anal. Appl., 27(1):115-129, 2005. 2
- P. Lancaster and M. Tismenetsky. The Theory of Matrices with Applica- tions. Academic Press, second edition, 1985. 3
- R. G. Mosier. Root neighborhoods of a polynomial. Mathematics of Com- putation, 47(175):265-273, 1986. 2