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E-raamat: Positive Definite Matrices

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This book represents the first synthesis of the considerable body of new research into positive definite matrices. These matrices play the same role in noncommutative analysis as positive real numbers do in classical analysis. They have theoretical and computational uses across a broad spectrum of disciplines, including calculus, electrical engineering, statistics, physics, numerical analysis, quantum information theory, and geometry. Through detailed explanations and an authoritative and inspiring writing style, Rajendra Bhatia carefully develops general techniques that have wide applications in the study of such matrices.


Bhatia introduces several key topics in functional analysis, operator theory, harmonic analysis, and differential geometry--all built around the central theme of positive definite matrices. He discusses positive and completely positive linear maps, and presents major theorems with simple and direct proofs. He examines matrix means and their applications, and shows how to use positive definite functions to derive operator inequalities that he and others proved in recent years. He guides the reader through the differential geometry of the manifold of positive definite matrices, and explains recent work on the geometric mean of several matrices.



Positive Definite Matrices is an informative and useful reference book for mathematicians and other researchers and practitioners. The numerous exercises and notes at the end of each chapter also make it the ideal textbook for graduate-level courses.

Arvustused

"Written by an expert in the area, the book presents in an accessible manner a lot of important results from the realm of positive matrices and of their applications... The book can be used for graduate courses in linear algebra, or as supplementary material for courses in operator theory, and as a reference book by engineers and researchers working in the applied field of quantum information."--S. Cobzas, Studia Universitatis Babes-Bolyai, Mathematica "There is no obvious competitor for Bhatia's book, due in part to its focus, but also because it contains some very recent material drawn from research articles. Beautifully written and intelligently organised, Positive Definite Matrices is a welcome addition to the literature. Readers who admired his Matrix Analysis will no doubt appreciate this latest book of Rajendra Bhatia."--Douglas Farenick, Image "This is an outstanding book. Its exposition is both concise and leisurely at the same time."--Jaspal Singh Aujla, Zentralblatt MATH

Preface vii
Chapter 1 Positive Matrices
1(34)
1.1 Characterizations
1(4)
1.2 Some Basic Theorems
5(7)
1.3 Block Matrices
12(4)
1.4 Norm of the Schur Product
16(2)
1.5 Monotonicity and Convexity
18(5)
1.6 Supplementary Results and Exercises
23(6)
1.7 Notes and References
29(6)
Chapter 2 Positive Linear Maps
35(30)
2.1 Representations
35(1)
2.2 Positive Maps
36(2)
2.3 Some Basic Properties of Positive Maps
38(5)
2.4 Some Applications
43(3)
2.5 Three Questions
46(3)
2.6 Positive Maps on Operator Systems
49(3)
2.7 Supplementary Results and Exercises
52(10)
2.8 Notes and References
62(3)
Chapter 3 Completely Positive Maps
65(36)
3.1 Some Basic Theorems
66(6)
3.2 Exercises
72(1)
3.3 Schwarz Inequalities
73(3)
3.4 Positive Completions and Schur Products
76(5)
3.5 The Numerical Radius
81(4)
3.6 Supplementary Results and Exercises
85(9)
3.7 Notes and References
94(7)
Chapter 4 Matrix Means
101(40)
4.1 The Harmonic Mean and the Geometric Mean
103(8)
4.2 Some Monotonicity and Convexity Theorems
111(3)
4.3 Some Inequalities for Quantum Entropy
114(11)
4.4 Furuta's Inequality
125(4)
4.5 Supplementary Results and Exercises
129(7)
4.6 Notes and References
136(5)
Chapter 5 Positive Definite Functions
141(60)
5.1 Basic Properties
141(3)
5.2 Examples
144(9)
5.3 Loewner Matrices
153(7)
5.4 Norm Inequalities for Means
160(5)
5.5 Theorems of Herglotz and Bochner
165(10)
5.6 Supplementary Results and Exercises
175(16)
5.7 Notes and References
191(10)
Chapter 6 Geometry of Positive Matrices
201(36)
6.1 The Riemannian Metric
201(9)
6.2 The Metric Space Pn
210(5)
6.3 Center of Mass and Geometric Mean
215(7)
6.4 Related Inequalities
222(3)
6.5 Supplementary Results and Exercises
225(7)
6.6 Notes and References
232(5)
Bibliography 237(10)
Index 247(6)
Notation 253
Rajendra Bhatia is Professor of Mathematics at the Indian Statistical Institute in New Delhi. He is the author of five books, including Matrix Analysis.