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2010-06-13
The Schur Complement and Its Applications (Numerical Methods and Algorithms) [Hardcover]
Fuzhen Zhang (Editor)



Editorial Reviews
Review
From the reviews of the first edition:
"The book consists of eight chapters, each written by experts in their field, devoted to certain aspects and applications of the Schur complement. They can be read independently of each other. … The book can serve as a research reference, as it contains many new results and results not yet appeared in books. The articles contain thorough expositions, so they can be understood by anyone having a good knowledge of linear algebra." (Ludwig Elsner, Zentralblatt MATH, Vol. 1075, 2006)
Product Description
The Schur complement plays an important role in matrix analysis, statistics, numerical analysis, and many other areas of mathematics and its applications. This book describes the Schur complement as a rich and basic tool in mathematical research and applications and discusses many significant results that illustrate its power and fertility. The eight chapters of the book cover themes and variations on the Schur complement, including its historical development, basic properties, eigenvalue and singular value inequalities, matrix inequalities in both finite and infinite dimensional settings, closure properties, and applications in statistics, probability, and numerical analysis.
Although the book is primarily intended to serve as a research reference, it will also be useful for graduate and advanced undergraduate courses in mathematics, applied mathematics, and statistics. The contributing authors’ exposition makes most of the material accessible to readers with a sound foundation in linear algebra.



Product Details
  • Hardcover: 296 pages
  • Publisher: Springer; 1 edition (March 4, 2005)
  • Language: English
  • ISBN-10: 0387242716
  • ISBN-13: 978-0387242712

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2010-6-13 09:49:51

Contents

Preface xv

Chapter 0 Historical Introduction: Issai Schur and the Early Development of the Schur Complement 1

Simo Puntanen, University of Tampere, Tampere, Finland George P. H. Styan, McGill University, Montreal, Canada

0.0 Introduction and mise-en-scene 1

0.1 The Schur complement: the name and the notation 2

0.2 Some implicit manifestations in the 1800s 3

0.3 The lemma and the Schur determinant formula 4

0.4 Issai Schur (1875-1941) 6

0.5 Schur's contributions in mathematics 9

0.6 Publication under J. Schur 9

0.7 Boltz 1923, Lohan 1933, Aitken 1937 and the Banchiewicz inversion formula 1937 10

0.8 Frazer, Duncan & Collar 1938, Aitken 1939, and Duncan 1944 12

0.9 The Aitken block-diagonalization formula 1939 and the Guttman rank additivity formula 1946 14

0.10 Emilie Virginia Haynsworth (1916-1985) and the Haynsworth inertia additivity formula 15

Chapter 1 Basic Properties of the Schur Complement 17

Roger A. Horn, University of Utah, Salt Lake City, USA Fuzhen Zhang, Nova Southeastern University, Fort Lauderdale, USA and Shenyang Normal University, Shenyang, China

1.0 Notation 17

1.1 Gaussian elimination and the Schur complement 17

1.2 The quotient formula 21

1.3 Inertia of Hermitian matrices 27

1.4 Positive semidefinite matrices 34

1.5 Hadamard products and the Schur complement .37

1.6 The generalized Schur complement 41

Chapter 2 Eigenvalue and Singular Value Inequalities of Schur Complements 47

Jianzhou Liu, Xiangtang University, Xiangtang, China

2.0 Introduction 47

2.1 The interlacing properties 49

2.2 Extremal characterizations 53

2.3 Eigenvalues of the Schur complement of a product 55

2.4 Eigenvalues of the Schur complement of a sum 64

2.5 The Hermitian case 69

2.6 Singular values of the Schur complement of a product 76

Chapter 3 Block Matrix Techniques 83

Fuzhen Zhang, Nova Southeastern University, Fort Lauderdale, USA and Shenyang Normal University, Shenyang, China

3.0 Introduction 83

3.1 Embedding approach 85

3.2 A matrix inequality and its applications 92

3.3 A technique by means of 2 x 2 block matrices 99

3.4 Liebian functions 104

3.5 Positive linear maps 108

Chapter 4 Closure Properties 111

Charles R. Johnson, College of William and Mary, Williamsburg, USA Ronald L. Smith, University of Tennessee, Chattanooga, USA

4.0 Introduction Ill

4.1 Basic theory Ill

4.2 Particular classes 114

4.3 Singular principal minors 132

4.4 Authors' historical notes 136

Chapter 5 Schur Complements and Matrix Inequalities: Operator-Theoretic Approach 137

Tsuyoshi Ando, Hokkaido University, Sapporo, Japan

5.0 Introduction 137

5.1 Schur complement and orthoprojection 140

5.2 Properties of the map A ^ [M]A 148

5.3 Schur complement and parallel sum 152

5.4 Application to the infimum problem 157

Chapter 6 Schur Complements in Statistics and Probability 163

Simo Puntanen, University of Tampere, Tampere, Finland George P. H. Styan, McGill University, Montreal, Canada

6.0 Basic results on Schur complements 163

6.1 Some matrix inequalities in statistics and probability 171

6.2 Correlation 182

6.3 The general linear model and multiple linear regression 191

6.4 Experimental design and analysis of variance 213

6.5 Broyden's matrix problem and mark-scaling algorithm 221

Chapter 7 Schur Complements and Applications in Numerical Analysis 227

Claude Brezinski, Universite des Sciences et Technologies de Lille, France

7.0 Introduction 227

7.1 Formal orthogonality 228

7.2 Fade application 230

7.3 Continued fractions 232

7.4 Extrapolation algorithms 233

7.5 The bordering method 239

7.6 Frojections 240

7.7 Freconditioners 248

7.8 Domain decomposition methods 250

7.9 Triangular recursion schemes 252

7.10 Linear control 257

Bibliography 259

Notation 289

Index 291
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2010-11-5 20:31:34
感谢楼主。。。。。。
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2015-10-22 09:29:00
没有论坛币怎么下载啊{:3_41:}
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