Constructive Approximation: Advanced Problems

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Constructive Approximation: Advanced Problems Series: Grundlehren der mathematischen Wissenschaften, Vol. 304 Lorentz, George G., Golitschek, Manfred v., Makovoz, Yuly Springer Softcover reprint of the original 1st ed. 1996, XI, 649 pp. 10 figs. Softcover Information 96,29 Euro ISBN 978-3-642-64610-2 This and the earlier book by R.A. DeVore and G.G. Lorentz (Vol. 303 of the same series), cover the whole field of approximation of functions of one real variable. The main subject of this volume is approximation by polynomials, rational functions, splines and operators. There are excursions into the related fields: interpolation, complex variable approximation, wavelets, widths, and functional analysis. Emphasis is on basic results, illustrative examples, rather than on generality or special problems. A graduate student can learn the subject from different chapters of the books; for a researcher they can serve as an introduction; for applied researchers a selection of tools for their endeavours. Content Level » Research Related subjects » Analysis - Computational Science & Engineering

Author(s): George G. Lorentz, Manfred v. Golitschek, Yuly Makovoz
Series: Grundlehren der mathematischen Wissenschaften 304
Edition: Softcover reprint of the original 1st ed. 1996
Publisher: Springer
Year: 2011

Language: English
Pages: C, XII+ 649

Cover

Grundlehren der mathematischen Wissenschaften 304

Constructive Approximation: Advanced Problems

Copyright Springer-Verlag Berlin Heidelberg 1996

ISBN 3-540-57028-4

ISBN 0-387-57028-4

SPIN: 10124042

OA221.L63 1996 515'.83--dc20

LCCN 96-298

Preface

Contents

Chapter 1. Problems of Polynomial Approximation

§ 1. Examples of Polynomials of Best Approximation

§ 2. Distribution of Alternation Points of Polynomials of Best Approximation

§ 3. Distribution of Zeros of Polynomials of Best Approximation

§ 4. Error of Approximation

§ 5. Approximation on (-oo, oo) by Linear Combinations of Functions (x - c)-1

§ 6. Weighted Approximationby Polynomials on (-oo, oo)

§ 7. Spaces of Approximation Theory

§ 8. Problems and Notes

Chapter 2. Polynomial Approximation with Constraints

§ 1. Introduction

§ 2. Growth Restrictions for the Coefficients

§ 3. Monotone Approximation

§ 4. Polynomials with Integral Coefficients

§ 5. Determination of the Characteristic Sets

§ 6. Markov-Type Inequalities

§ 7. The Inequality of Remez

§ 8. One-sided Approximation by Polynomials

§ 9. Problems

§10. Notes

Chapter 3. Incomplete Polynomials

§ 1. Incomplete Polynomials

§ 2. Incomplete Chebyshev Polynomials

§ 3. Incomplete Trigonometric Polynomials

§ 4. Sequences of Polynomials with Many Real Zeros

§ 5. Problems

§ 6. Notes

Chapter 4. Weighted Polynomials

§ 1. Essential Sets of Weighted Polynomials

§ 2. Weighted Chebyshev Polynomials

§ 3. The Equilibrium Measure

§ 4. Determination of Minimal Essential Sets

§ 5. Weierstrass Theorems and Oscillations

§ 6. Weierstrass Theorem for Freud Weights

§ 7. Problems

§ 8. Notes

Chapter 5. Wavelets and Orthogonal Expansions

§ 1. Multiresolutions and Wavelets

§ 2. Scaling Functions with a Monotone Majorant

§ 3. Periodization

§ 4. Polynomial Schauder Bases

§ 5. Orthonormal Polynomial Bases

§ 6. Problems and Notes

Chapter 6. Splines

§ 1. General Facts

§ 2. Splines of Best Approximation

§ 3. Periodic Splines

§ 4. Convergence of Some Spline Operators

§ 5. Notes

Chapter 7. Rational Approximation

§ 1. Introduction

§ 2. Best Rational Approximation

§ 3. Rational Approximation of |x|

§ 4. Approximation of ex on [-1, 1]

§ 5. Rational Approximation of e-Ic on [0, oo)

§ 6. Approximation of Classes of Functions

§ 7. Theorems of Popov

§ 8. Properties of the Operator of Best Rational Approximation in C and LP

§ 9. Approximation by Rational Functions with Arbitrary Powers

§ 10. Problems

§ 11. Notes

Chapter 8. Stahl's Theorem

§ 1. Introduction and Main Result

§ 2. A Dirichlet Problem on [1/2, l/p]

§ 3. The Second Approach to the Dirichlet Problem

§ 4. Proof of Theorem 1.1

§ 5. Notes

Chapter 9. Pad Approximation

§ 1. The Pade Table

§ 2. Convergence of the Rows of the Pade Table

§ 3. The Nuttall-Pommerenke Theorem

§ 4. Problems

§ 5. Notes

Chapter 10. Hardy Space Methods in Rational Approximation

§ 1. Bernstein-Type Inequalities for Rational Functions

§ 2. Uniform Rational Approximation in Hardy Spaces

§ 3. Approximation by Simple Functions

§ 4. The Jackson-Rusak Operator; Rational Approximation of Sums of Simple Functions

§ 5. Rational Approximation on T and on [-1, 1]

§ 6. Relations Between Spline and Rational Approximation in the Spaces LP, 0


§ 7. Problems

§ 8. Notes

Chapter 11. Müntz Polynomials

§ 1. Definitions and Simple Properties

§ 2. Muntz-Jackson Theorems

§ 3. An Inverse Miintz-Jackson Theorem

§ 4. The Index of Approximation

§ 5. Markov-Type Inequality for Miintz Polynomials

§ 6. Problems

§7. Notes

Chapter 12. Nonlinear Approximation

§ 1. Definitions and Simple Properties

§ 2. Varisolvent Families

§ 3. Exponential Sums

§ 4. Lower Bounds for Errors of Nonlinear Approximation

§ 5. Continuous Selections from Metric Projections

§ 6. Approximation in Banach Spaces: Suns and Chebyshev Sets

§ 7. Problems

§ 8. Notes

Chapter 13. Widths I

§ 1. Definitions and Basic Properties

§ 2. Relations Between Different Widths

§ 3. Widths of Cubes and Octahedra

§ 4. Widths in Hilb ert Spaces

§ 5. Applications of Borsuk's Theorem

§ 6. Variational Problems and Spectral Functions

§ 7. Results of Buslaev and Tikhomirov

§ 8. Classes of Differentiable Functions on an Interval

§ 9. Classes of Analytic Functions

§ 10. Problems

§ 11. Notes

Chapter 14. Widths II: Weak Asymptotics for Lipschitz Balls, Random Approximants

§ 1. Introduction

§ 2. Discretization

§ 3. Weak Equivalences for Widths. Elementary Methods

§ 4. Distribution of Scalar Products of Unit Vectors

§ 5. Kashin's Theorems

§ 6. Gaussian Measures

§ 7. Linear Widths of Finite Dimensional Balls

§ 8. Linear Widths of the Lipschitz Classes

§ 9. Problems

§ 10. Notes

Chapter 15. Entropy

§ 1. Entropy and Capacity

§ 2. Elementary Estimates

§ 3. Linear Approximation and Entropy

§ 4. Relations Between Entropy and Widths

§ 5. Entropy of Classes of Analytic Panctions

§ 6. The Birman-Solomyak Theorem

§ 7. Entropy Numbers of Operators

§ 8. Notes

Chapter 16. Convergence of Sequences of Operators

§ 1. Introduction

§ 2.. Simple Necessary and Sufficient, Conditions

§ 3. Geometric Properties of Dominating Sets

§ 4. Strict Dominating Systems; Minimal Systems; Examples

§ 5. Shadows of Sets of Continuous Functions

§ 6. Shadows in Banach Function Spaces

§ 7. Positive Contractions

§ 8. Contractions

§ 9. Notes

Chapter 17. Representation of Functions by Superpositions

§ 1. The Theorem of Kolmogorov

§ 2. Proof of the Theorems

§ 3. Functions Not Representable by Superpositions

§ 4. Linear Superpositions

§ 5. Notes

Appendix 1. Theorems of Borsuk and of Brunn-Minkowski

§ 1. Borsuk's Theorem

1.1. Introduction; Different Forms of the Theorem

1.2. Properties of the "Equators" Bk.

1.3. Partition and Triangulation of the Cube Qo. F

1.4. Proof of Theorem 1.2.

§ 2. The Brunn-Minkowski Inequality

Appendix 2. Estimates of Some Elliptic Integrals

Appendix 3. Hardy Spaces and Blaschke Products

§ 1. Hardy Spaces

§ 2. Conjugate Functions and Cauchy Integrals

§ 3. Atomic Decompositions in Hardy Spaces

§ 4. Blaschke Products

Appendix 4. Potential Theory and Logarithmic Capacity

§ 1. Logarithmic Potentials

§ 2. Equilibrium Distribution and Logarithmic Capacity

§3. The Dirichlet Problem and Green's Function

§ 4. Balayage Methods

Bibliography

A. Books on Approximation

B. Other Books

C. Articles

Author Index

Subject Index