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Factorization of Matrix and Operator Functions: The State Space Method (Operator Theory: Advances and Applications / Linear Operators and Linear Systems)

Factorization of Matrix and Operator Functions: The State Space Method (Operator Theory: Advances and Applications / Linear Operators and Linear Systems)

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Authors: Harm Bart, Israel Gohberg, Marinus A. Kaashoek, Andre C.m. Ran
Publisher: Birkhaeuser Basel
Category: Book

List Price: $169.00
Buy New: $131.48
You Save: $37.52 (22%)



New (12) Used (5) from $108.50

Sales Rank: 4273346

Media: Hardcover
Edition: 1
Pages: 409
Number Of Items: 1
Shipping Weight (lbs): 1.9
Dimensions (in): 9.4 x 6.8 x 1.1

ISBN: 3764382678
Dewey Decimal Number: 512
EAN: 9783764382674

Publication Date: December 10, 2007
Availability: Usually ships in 1-2 business days
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Accessories:

  • Modern Operator Theory and Applications (Operator Theory: Advances and Applications)
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  • Non-spectral Asymptotic Analysis of One-Parameter Operator Semigroups (Operator Theory: Advances and Applications)

Editorial Reviews:

Product Description

The present book deals with factorization problems for matrix and operator functions. The problems originate from, or are motivated by, the theory of non-selfadjoint operators, the theory of matrix polynomials, mathematical systems and control theory, the theory of Riccati equations, inversion of convolution operators, theory of job scheduling in operations research. The book systematically employs a geometric principle of factorization which has its origins in the state space theory of linear input-output systems and in the theory of characteristic operator functions. This principle allows one to deal with different factorizations from one point of view. Covered are canonical factorization, minimal and non-minimal factorizations, pseudo-canonical factorization, and various types of degree one factorization.

Considerable attention is given to the matter of stability of factorization which in terms of the state space method involves stability of invariant subspaces.invariant subspaces.



 
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