Kubrusly, C. S., Catholic University of Rio de Janeiro, RJ, Brazil

Hilbert Space Operators
A Problem Solving Approach

2003 XIV, 154 p. 10 illus. Softcover
3-7643-3242-5

This self-contained work on Hilbert space operators takes a problem-solving approach to the subject, combining theoretical results with a wide variety of exercises that range from the straightforward to the state of the art. Complete solutions to all problems are provided. The text covers the basics of bounded linear operators on a Hilbert space and gradually progresses to more advanced topics in spectral theory and quasireducible operators.

Written in a motivating and rigorous style, the work has few prerequisites beyond elementary functional analysis, and will appeal to graduate students and researchers in mathematics, physics, engineering, and related disciplines.

Contents:

Preface * Invariant Subspaces * Hilbert Space Operators * Convergence and Stability * Reducing Subspaces * Shifts * Decompositions * Orthogonality * Hyponormal Operators * Spectral Properties * Paranormal Operators * Proper Contractions * Quasireducible Operators * The Lomonosov Theorem * Bibliography * Index


Bi, G., Nanyang Technical University, Singapore; Zeng, Y., The University of Hong Kong, Hong Kong

Transforms and Fast Algorithms for Signal Analysis and Representations

2004 Approx. 448 p., 92 illus. Hardcover
3-7643-4279-X

Transforms have diverse applications in digital signal processing and other areas of science, engineering, and technology. Indeed, new transforms are continuously emerging to solve many new or open problems created by technological advances. To improve the implementation of these transforms, fast algorithms have been created and widely used over the last forty years. Although closely related to the discrete Fourier transform, novel fast algorithms for various transforms have to be developed separately in order to minimize computational complexity and implementation costs.

This book is a comprehensive presentation of results and recent progress on several commonly used transforms and their fast algorithms. In many cases, additional options are provided for new or improved fast algorithms, some not yet well known in the digital signal processing community. Demonstrated throughout the work is the potential for fast algorithms to meet the demands created by fast computing processors, which may lead to advances in modern applications.

The work is suitable as a textbook for senior undergraduate and graduate students; it may also be used as a self-study reference for electrical engineers and applied mathematicians working in the fields of electronics, signal, image and speech processing, or digital design and communication.

Keywords: Algorithms, Harmonic Analysis, Signal Processing

Contents:

Introduction * Polynomial Transforms and Their Fast Algorithms * Fast Fourier Transform Algorithms * Fast Algorithms for 1D Discrete Hartley Transforms * Fast Algorithms for MD Discrete Hartley Transforms * Fast Algorithms for 1D Discrete Cosine Transforms * Fast Algorithms for MD Discrete Cosine Transform * Integer Transforms and Fast Algorithms * New Methods of Time-Frequency Analysis * Index

Series: ANHA* Applied and Numerical Harmonic Analysis.

Schurmann, J., University of Munster, Germany

Topology of Singular Spaces and Constructible Sheaves

2003 X, 454 p. Hardcover
3-7643-2189-X

Assuming that the reader is familiar with sheaf theory, the book gives a self-contained introduction to the theory of constructible sheaves related to many kinds of singular spaces, such as cell complexes, triangulated spaces, semialgebraic and subanalytic sets, complex algebraic or analytic sets, stratified spaces, and quotient spaces. The relation to the underlying geometrical ideas are worked out in detail, together with many applications to the topology of such spaces. All chapters have their own detailed introduction, containing the main results and definitions, illustrated in simple terms by a number of examples. The technical details of the proof are postponed to later sections, since these are not needed for the applications.

Keywords: Algabraic topology, Sheaves, Singular spaces, Monodromy, Algebraic geometry, Category theory, Triangulation, Localization, Morse theory

Contents:

Introduction.- 1. Thom-Sebastiani Theorem for Constructible Sheaves.- 2. Constructible Sheaves in Geometric Categories.- 3. Localization Results for Equivariant Constructible Sheaves.- 4. Stratification Theory and Constructible Sheaves.- 5. Morse Theory for Constructible Sheaves.- 6. Vanishing Theorems for Constructible Sheaves.- Bibliography.- Index.

Series: Monografie Matematyczne. Vol.. 63

Benedetto, J. J., University of Maryland, College Park, MD, USA;
Zayed, A. I., DePaul University, Chicago, IL, USA (Eds.)

Sampling, Wavelets, and Tomography

2003 Approx. 350 p. Hardcover
3-7643-4304-4

Sampling, wavelets, and tomography are three active areas of contemporary mathematics sharing common roots that lie at the heart of harmonic and Fourier analysis. The advent of new techniques in mathematical analysis has strengthened their interdependence and led to some new and interesting results in the field.

This state-of-the-art book not only presents new results in these research areas, but it also demonstrates the role of sampling in both wavelet theory and tomography. Specific topics covered include:

* Robustness of Regular Sampling in Sobolev Algebras * Irregular and Semi-Irregular Weyl-Heisenberg Frames * Adaptive Irregular Sampling in Meshfree Flow Simulation * Sampling Theorems for Non-Bandlimited Signals * Polynomial Matrix Factorization, Multidimensional Filter Banks, and Wavelets * Generalized Frame Multiresolution Analysis of Abstract Hilbert Spaces * Sampling Theory and Parallel-Beam Tomography * Thin-Plate Spline Interpolation in Medical Imaging * Filtered Back-Projection Algorithms for Spiral Cone Computed Tomography

Aimed at mathematicians, scientists, and engineers working in signal and image processing and medical imaging, the work is designed to be accessible to an audience with diverse mathematical backgrounds. Although the volume reflects the contributions of renowned mathematicians and engineers, each chapter has an expository introduction written for the non-specialist. One of the key features of the book is an introductory chapter stressing the interdependence of the three main areas covered. A comprehensive index completes the work.

Contributors: J.J. Benedetto, N.K. Bose, P.G. Casazza, Y.C. Eldar, H.G. Feichtinger, A. Faridani, A. Iske, S. Jaffard, A. Katsevich, S. Lertrattanapanich, G. Lauritsch, B. Mair, M. Papadakis, P.P. Vaidyanathan, T. Werther, D.C. Wilson, A.I. Zayed

Contents:

A Prelude to Sampling, Wavelets, and Tomography (Ahmed I. Zayed) * Part I: Sampling and Frames * Sampling Without Input Constraints: Consistent Reconstruction in Arbitrary Spaces (Yonina C. Eldar) * An Introduction to Irregular Weyl-Heisenberg Frames (Peter G. Casazza) * Robustness of Regular Sampling in Sobolev Algebras (Hans G. Feichtinger and Tobias Werther) * Adaptive Irregular Sampling in Meshfree Flow Simulation (Armin Iske) * Part II: Wavelets * Polynomial Matrix Factorization, Multidimensional Filter Banks and Wavelets (N. K. Bose and S. Lertrattanapanich) * Sampling Theorems for Non-Bandlimited Signals (P. P. Vaidyanathan) * Function Spaces Based on Wavelet Expansions (Stephane Jaffard) * Generalized Frame Multiresolution Analysis of Abstract Hilbert Spaces (Manos Papadakis) * Part III: Tomography * Sampling Theory and Parallel-Beam Tomography (Adel Faridani) * Filtered Backprojection Algorithms For Spiral Cone Beam CT (Alexander Katsevich and Guenter Lauritsch) * Thin-Plate Spline Interpolation (David C. Wilson and Bernard Mair) * Index

Series: ANHA: Applied and Numerical Harmonic Analysis.

Golubitsky, M., University of Houston, TX, USA; Stewart, I., University of Warwick, Coventry, UK

The Symmetry Perspective
From Equilibrium to Chaos in Phase Space and Physical Space

1st ed. 2002. Corr. 2nd printing 2003 Approx. 340 p. Softcover
3-7643-2171-7

Pattern formation in physical systems is one of the major research frontiers of mathematics. A central theme of this book is that many instances of pattern formation can be understood within a single framework: symmetry.

The book applies symmetry methods to increasingly complex kinds of dynamic behavior: equilibria, period-doubling, time-periodic states, homoclinic and heteroclinic orbits, and chaos. Examples are drawn from both ODEs and PDEs. In each case the type of dynamical behavior being studied is motivated through applications, drawn from a wide variety of scientific disciplines ranging from theoretical physics to evolutionary biology. An extensive bibliography is provided.

Keywords: Chaos, Fractals, Dynamical Systems

Contents:

Preface.- Steady-State Bifurcation.- Linear Stability.- Time Periodicity and Spatio-Temporal Symmetry.- Hopf Bifurcation with Symmetry.- Steady-State Bifurcations in Euclidean Equivariant Systems.- Bifurcation From Group Orbits.- Hidden Symmetry and Genericity.- Heteroclinic Cycles.- Symmetric Chaos.- Periodic Solutions of Symmetric Hamiltonian Systems.