Analysis of Spectral Variation and Some Inequalities
- 1 July 1982
- journal article
- Published by JSTOR in Transactions of the American Mathematical Society
- Vol. 272 (1) , 323-331
- https://doi.org/10.2307/1998962
Abstract
A geometric method, based on a decomposition of the space of complex matrices, is employed to study the variation of the spectrum of a matrix. When adapted to special cases, this leads to some classical inequalities as well as some new ones. As an example of the latter, we show that if , are unitary matrices and is a skew-Hermitian matrix such that <!-- MATH $U{V^{ - 1}} = \exp K$ --> , then for every unitary-invariant norm the distance between the eigenvalues of and those of is bounded by . This generalises two earlier results which used particular unitary-invariant norms.
Keywords
This publication has 15 references indexed in Scilit:
- Variation of Grassman powers and spectraLinear Algebra and its Applications, 1981
- On the rate of change of spectra of operatorsLinear Algebra and its Applications, 1979
- Introduction to the Theory of Linear Nonselfadjoint Operators in Hilbert SpacePublished by American Mathematical Society (AMS) ,1969
- The rotation of eigenvectors by a perturbation—IIJournal of Mathematical Analysis and Applications, 1965
- Introduction to Differentiable Manifolds.The American Mathematical Monthly, 1964
- The rotation of eigenvectors by a perturbationJournal of Mathematical Analysis and Applications, 1963
- Bounds for iterates, inverses, spectral variation and fields of values of non-normal matricesNumerische Mathematik, 1962
- Various averaging operations onto subalgebrasIllinois Journal of Mathematics, 1959
- The variation of the spectrum of a normal matrixDuke Mathematical Journal, 1953
- Maximum Properties and Inequalities for the Eigenvalues of Completely Continuous OperatorsProceedings of the National Academy of Sciences, 1951