Positive Definite Matrices (eBook)

Rajendra Bhatia (Autor)

eBook Download: PDF | EPUB

2009
240 Seiten
Princeton University Press (Verlag)
978-1-4008-2778-7 (ISBN)

Infos

Rajendra Bhatia is Professor of Mathematics at the Indian Statistical Institute in New Delhi. He is the author of five books, including Matrix Analysis.

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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.

Produkt-Details

• Erscheint lt. Verlag: 10.1.2009
• Reihe/Serie: Princeton Series in Applied Mathematics
• Reihe/Serie: Princeton Series in Applied Mathematics
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Algebra
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Geometrie / Topologie
• Themenwelt: Technik
• Schlagworte: Addition • analytic continuation • arithmetic mean • Banach space • Binomial Theorem • Block Matrix • Bochner's theorem • Calculation • Cauchy matrix • Cauchy–Schwarz inequality • Characteristic Polynomial • coefficient • commutative property • Compact space • Completely positive map • complex number • Computation • continuous function • convex combination • convex function • convex set • corollary • Density Matrix • Diagonal matrix • Differential Geometry • Eigenvalues and Eigenvectors • Equation • equivalence relation • existential quantification • Extreme point • Fourier transform • Functional Analysis • fundamental theorem • gamma function • geometric mean • Geometry • G. H. Hardy • Hadamard product (matrices) • Hahn–Banach Theorem • Harmonic Analysis • Hermitian matrix • hilbert space • Hyperbolic function • Infimum and supremum • Infinite divisibility (probability) • Invertible matrix • Lecture • linear algebra • Linear map • logarithm • Logarithmic mean • Mathematics • matrix analysis • Matrix (mathematics) • Matrix unit • Metric Space • Monotonic Function • Natural number • Open set • Operator algebra • Operator System • Orthonormal basis • Partial trace • Positive-definite function • Positive-definite matrix • Positive definiteness • Positive element • Positive map • Positive semidefinite • Probability • probability measure • Projection (linear algebra) • Quantity • Quantum Computing • Quantum information • quantum statistical mechanics • real number • Riccati Equation • Riemannian Geometry • Riemannian manifold • Riesz representation theorem • Right half-plane • Schur complement • Schur's theorem • scientific notation • Self-adjoint operator • Sign (mathematics) • Special case • Spectral Theorem • square root • Standard basis • Summation • tensor product • Theorem • Toeplitz Matrix • Unitary matrix • Unitary Operator • Unit vector • Upper half-plane • Variable (mathematics)
• ISBN-10: 1-4008-2778-7 / 1400827787
• ISBN-13: 978-1-4008-2778-7 / 9781400827787