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Matrices & Determinants, Mathematical Analysis - Functional Analysis, Mathematical Equations - Integral, Mathematical Spaces
The Schur Algorithm, Reproducing Kernel Spaces, and System Theory by Daniel Alpay β€” book cover

The Schur Algorithm, Reproducing Kernel Spaces, and System Theory

by Daniel Alpay
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Overview

Generalized Schur functions have important applications to the theory of linear operators, to signal processing and control theory, and to other areas of engineering. In this book, Alpay looks at matrix-valued Schur functions and their applications from the unifying point of view of spaces with reproducing kernels. This approach is used here to study the relationship between the modeling of time-invariant dissipative linear systems and the theory of linear operators. The inverse scattering problem plays a key role in the exposition. The point of view also allows for a natural way to tackle more general cases, such as nonstationary systems, non-positive metrics, and pairs of commuting nonself-adjoint operators. Translated by Stephen S. Wilson.

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Editorials

Booknews

Looks at matrix-valued Schur functions and their applications from the unifying point of view of space with reproducing kernels to study the relationship between the modeling of time-invariant dissipative linear systems and the theory of linear operators. Chapters cover reproducing kernel spaces, theory of linear systems, the Schur algorithm and the inverse scattering problem, operator models, interpolation, the indefinite case, the non-stationary case, and Riemann surfaces. Originally published in French by Soci<'e>t<'e> Math<'e>matique de France, 1998. Translated from the French by Stephen S. Wilson. Author information is not given. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
August 23, 2001
Publisher
American Mathematical Society
Pages
150
Format
Paperback
ISBN
9780821821558

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