Positive definite matrices

By: Rajendra BhatiaMaterial type: TextTextSeries: Texts and Readings in Mathematics ; 44Publication details: New Delhi: Hindustan Book Agency, [c2007]Description: 251 pISBN: 9789380250038Subject(s): MathematicsLOC classification: QA188.BHA
Contents:
1. Positive Matrices 2. Positive Linear Maps 3. Completely Positive Maps 4. Matrix Means 5. Positive Definite Functions 6. Geometry of Positive Matrices
Summary: TRIM 44This 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. The author 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. --- summary provided by publisher
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Item type Current library Collection Shelving location Call number Status Notes Date due Barcode Item holds
Book Book ICTS
Mathematic Rack No 2 QA188.BHA (Browse shelf (Opens below)) Available Billno: 45814 ; Billdate: 11.03.2019 02410
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1. Positive Matrices
2. Positive Linear Maps
3. Completely Positive Maps
4. Matrix Means
5. Positive Definite Functions
6. Geometry of Positive Matrices

TRIM 44This 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.

The author 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. --- summary provided by publisher

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