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Perturbation Bounds for Matrix Eigenvalues

Perturbation Bounds for Matrix Eigenvalues

Perturbation Bounds for Matrix Eigenvalues

R. Bhatia, Indian Statistical Institute
July 2007
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Paperback
9780898716313
£40.99
GBP
Paperback

    Perturbation Bounds for Matrix Eigenvalues contains a unified exposition of spectral variation inequalities for matrices. The text provides a complete and self-contained collection of bounds for the distance between the eigenvalues of two matrices, which could be arbitrary or restricted to special classes. The book's emphasis on sharp estimates, general principles, elegant methods, and powerful techniques, makes it a good reference for researchers and students. For the SIAM Classics edition, the author has added over 60 pages of material covering recent results and discussing the important advances made in the theory, results, and proof techniques of spectral variation problems in the two decades since the book's original publication. This updated edition is appropriate for use as a research reference for physicists, engineers, computer scientists, and mathematicians interested in operator theory, linear algebra, and numerical analysis. It is also suitable for a graduate course in linear algebra or functional analysis.

    • Updated classic with over 60 pages of new material
    • Suitable as a reference or for graduate courses
    • Complete and self-contained collection

    Product details

    July 2007
    Paperback
    9780898716313
    184 pages
    230 × 154 × 12 mm
    0.29kg
    This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.

    Table of Contents

    • Preface to the Classics Edition
    • Preface
    • Introduction
    • 1. Preliminaries
    • 2. Singular values and norms
    • 3. Spectral variation of Hermitian matrices
    • 4. Spectral variation of normal matrices
    • 5. The general spectral variation problem
    • 6. Arbitrary perturbations of constrained matrices
    • Postscripts
    • References
    • Supplements 1986-2006:
    • 7. Singular values and norms
    • 8. Spectral variation of Hermitian matrices
    • 9. Spectral variation of normal matrices
    • 10. Spectral variation of diagonalizable matrices
    • 11. The general spectral variation problem
    • 12. Arbitrary perturbations of constrained matrices
    • 13. Related topics
    • Bibliography
    • Errata.
      Author
    • R. Bhatia , Indian Statistical Institute

      Rajendra Bhatia is a Professor in the Department of Statistics and Mathematics at the Indian Statistical Institute.