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Stability and Periodic Solutions of Ordinary and Functional Differential Equations

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ISBN-10: 0486442543

ISBN-13: 9780486442549

Edition: 2005

Authors: T. A. Burton

List price: $19.95
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Description:

This book's discussion of a broad class of differential equations will appeal to professionals as well as graduate students. Beginning with the structure of the solution space and the stability and periodic properties of linear ordinary and Volterra differential equations, the text proceeds to an extensive collection of applied problems. The background for and application to differential equations of the fixed-point theorems of Banach, Brouwer, Browder, Horn, Schauder, and Tychonov are examined, in addition to those of the asymptotic fixed-point theorems. The text concludes with a unified presentation of the basic stability and periodicity theory for nonlinear ordinary and functional…    
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Book details

List price: $19.95
Copyright year: 2005
Publisher: Dover Publications, Incorporated
Publication date: 6/3/2005
Binding: Paperback
Pages: 342
Size: 5.25" wide x 8.25" long x 0.75" tall
Weight: 0.792

Preface
Overview
Methods of Operator Approximation in System Modelling
Nonlinear Operator Approximation with Preassigned Accuracy
Introduction
Generic formulation of the problem
Operator approximation in space C([0; 1])
Operator approximation in Banach spaces by polynomial operators
Approximation on compact sets in topological vector spaces
Approximation on noncompact sets in Hilbert spaces
Special results for maps into Banach spaces
Concluding remarks
Interpolation of Nonlinear Operators 65
Introduction
Lagrange interpolation in Banach spaces
Weak interpolation of nonlinear operators
Some related results
Concluding remarks
Realistic Operators and their Approximation
Introduction
Formalization of concepts related to description of real-world objects
Approximation of R��continuous operators
Concluding remarks
Methods of Best Approximation for Nonlinear Operators
Introduction
Best Approximation of nonlinear operators in Banach spaces: Deterministic case
Estimation of mean and covariance matrix for random vectors
Best Hadamard-quadratic approximation
Best polynomial approximation
Best causal approximation
Best hybrid approximations
Concluding remarks
Optimal Estimation of Random Vectors
Computational Methods for Optimal Filtering of Stochastic Signals
Introduction
Optimal linear Filtering in Finite dimensional vector spaces
Optimal linear Filtering in Hilbert spaces
Optimal causal linear Filtering with piecewise constant memory
Optimal causal polynomial Filtering with arbitrarily variable memory
Optimal nonlinear Filtering with no memory constraint
Concluding remarks
Computational Methods for Optimal Compression and Reconstruction of Random Data
Introduction
Standard Principal Component Analysis and Karhunen-Loeeve transform (PCA{KLT)
Rank-constrained matrix approximations
Generic PCA{KLT
Optimal hybrid transform based on Hadamard-quadratic approximation
Optimal transform formed by a combination of nonlinear operators
Optimal generalized hybrid transform
Concluding remarks
Bibliography
Index