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Matrix Polynomials

Posted on 2010-12-22




Name:Matrix Polynomials
ASIN/ISBN:0898716810
Publish Date:2009
Pages:433 pages
File size:10.4 Mb
Publish Date: 2009
ISBN: 0898716810, 012287160X
Pages: 433 pages
File Type: PDF
File Size: 10,4 MB
Other Info: So-ety for Ind-strial and Ap-ied Mat-matic
   Matrix Polynomials

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I. Gohberg, P. Lancaster, and L. Rodman, ""

This book provides a comprehensive treatment of the theory of polynomials in a complex variable with matrix coefficients. Basic matrix theory can be viewed as the study of the special case of polynomials of first degree; the theory developed in is a natural extension of this case to polynomials of higher degree. It has applications in many areas, such as differential equations, systems theory, the Wiener Hopf technique, mechanics and vibrations, and numerical analysis. Although there have been significant advances in some quarters, this work remains the only systematic development of the theory of .

Audience: The book is appropriate for students, instructors, and researchers in linear algebra, operator theory, differential equations, systems theory, and numerical analysis. Its contents are accessible to readers who have had undergraduate-level courses in linear algebra and complex analysis.

Contents: Preface to the Classics Edition; Preface; Errata; Introduction; Part I: Monic : Chapter 1: Linearization and Standard Pairs; Chapter 2: Representation of Monic ; Chapter 3: Multiplication and Divisability; Chapter 4: Spectral Divisors and Canonical Factorization; Chapter 5: Perturbation and Stability of Divisors; Chapter 6: Extension Problems; Part II: Nonmonic : Chapter 7: Spectral Properties and Representations; Chapter 8: Applications to Differential and Difference Equations; Chapter 9: Least Common Multiples and Greatest Common Divisors of ; Part III: Self-Adjoint : Chapter 10: General Theory; Chapter 11: Factorization of Self-Adjoint ; Chapter 12: Further Analysis of the Sign Characteristic; Chapter 13: Quadratic Self-Adjoint Polynomials; Part IV: Supplementary Chapters in Linear Algebra: Chapter S1: The Smith Form and Related Problems; Chapter S2: The Matrix Equation AX XB = C; Chapter S3: One-Sided and Generalized Inverses; Chapter S4: Stable Invariant Subspaces; Chapter S5: Indefinite Scalar Product Spaces; Chapter S6: Analytic Matrix Functions; References; List of Notation and Conventions; Index

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