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Inequalities in Matrix Algebras
 
Eric Carlen Rutgers University, New Brunswick, NJ
Hardcover ISBN:  978-1-4704-7923-7
Product Code:  GSM/251
List Price: $135.00
MAA Member Price: $121.50
AMS Member Price: $108.00
Not yet published - Preorder Now!
Expected availability date: August 27, 2025
Softcover ISBN:  978-1-4704-8026-4
Product Code:  GSM/251.S
List Price: $89.00
MAA Member Price: $80.10
AMS Member Price: $71.20
Not yet published - Preorder Now!
Expected availability date: August 25, 2025
eBook ISBN:  978-1-4704-8025-7
Product Code:  GSM/251.E
List Price: $85.00
MAA Member Price: $76.50
AMS Member Price: $68.00
Not yet published - Preorder Now!
Expected availability date: August 27, 2025
Softcover ISBN:  978-1-4704-8026-4
eBook: ISBN:  978-1-4704-8025-7
Product Code:  GSM/251.S.B
List Price: $174.00 $131.50
MAA Member Price: $156.60 $118.35
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Not yet published - Preorder Now!
Expected availability date: August 25, 2025
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Inequalities in Matrix Algebras
Eric Carlen Rutgers University, New Brunswick, NJ
Hardcover ISBN:  978-1-4704-7923-7
Product Code:  GSM/251
List Price: $135.00
MAA Member Price: $121.50
AMS Member Price: $108.00
Not yet published - Preorder Now!
Expected availability date: August 27, 2025
Softcover ISBN:  978-1-4704-8026-4
Product Code:  GSM/251.S
List Price: $89.00
MAA Member Price: $80.10
AMS Member Price: $71.20
Not yet published - Preorder Now!
Expected availability date: August 25, 2025
eBook ISBN:  978-1-4704-8025-7
Product Code:  GSM/251.E
List Price: $85.00
MAA Member Price: $76.50
AMS Member Price: $68.00
Not yet published - Preorder Now!
Expected availability date: August 27, 2025
Softcover ISBN:  978-1-4704-8026-4
eBook ISBN:  978-1-4704-8025-7
Product Code:  GSM/251.S.B
List Price: $174.00 $131.50
MAA Member Price: $156.60 $118.35
AMS Member Price: $139.20 $105.20
Not yet published - Preorder Now!
Expected availability date: August 25, 2025
  • Book Details
     
     
    Graduate Studies in Mathematics
    Volume: 2512025; Estimated: 458 pp
    MSC: Primary 47; 46

    The theory of positive or completely positive maps from one matrix algebra to another is the mathematical theory underlying the quantum mechanics of finite systems, as well as much of quantum information and computing. Inequalities are fundamental to the subject, and a watershed event in its development was the proof of the strong subadditivity of quantum entropy by Lieb and Ruskai. Over the next 50 years, this result has been extended and refined extensively. The development of the mathematical theory accelerated in the 1990s when researchers began to intensively investigate the quantum mechanical notion of “entanglement” of vectors in tensor products of Hilbert spaces. Entanglement was identified by Schrödinger as a fundamental aspect of quantum mechanics, and in recent decades questions about entanglement have led to much mathematical progress. What has emerged is a beautiful mathematical theory that has very recently arrived at a mature form.

    This book is an introduction to that mathematical theory, starting from modest prerequisites. A good knowledge of linear algebra and the basics of analysis and probability are sufficient. In particular, the fundamental aspects of quantum mechanics that are essential for understanding how a number of questions arose are explained from the beginning.

    Readership

    Graduate students and researchers interested in matrix analysis with applications to quantum mechanics, control theory, and quantum computing.

  • Table of Contents
     
     
    • Hilbert space basics
    • Tensor products of Hilbert spaces
    • Monotonicity and convexity for operators
    • von Neumann algebras on finite dimensional Hilbert spaces
    • Positive linear maps and quantum operators
    • Some basic trace function inequalities
    • Fundamental entropy inequalities
    • Consequences and refinements of SSA
    • Quantification of entanglement
    • Convexity, concavity and monotonicity
    • Majorization methods
    • Tomita-Takesaki theory and operator inequalities
    • Convex geometry
    • Complex interpolation
    • Bibliography
    • Index
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
Volume: 2512025; Estimated: 458 pp
MSC: Primary 47; 46

The theory of positive or completely positive maps from one matrix algebra to another is the mathematical theory underlying the quantum mechanics of finite systems, as well as much of quantum information and computing. Inequalities are fundamental to the subject, and a watershed event in its development was the proof of the strong subadditivity of quantum entropy by Lieb and Ruskai. Over the next 50 years, this result has been extended and refined extensively. The development of the mathematical theory accelerated in the 1990s when researchers began to intensively investigate the quantum mechanical notion of “entanglement” of vectors in tensor products of Hilbert spaces. Entanglement was identified by Schrödinger as a fundamental aspect of quantum mechanics, and in recent decades questions about entanglement have led to much mathematical progress. What has emerged is a beautiful mathematical theory that has very recently arrived at a mature form.

This book is an introduction to that mathematical theory, starting from modest prerequisites. A good knowledge of linear algebra and the basics of analysis and probability are sufficient. In particular, the fundamental aspects of quantum mechanics that are essential for understanding how a number of questions arose are explained from the beginning.

Readership

Graduate students and researchers interested in matrix analysis with applications to quantum mechanics, control theory, and quantum computing.

  • Hilbert space basics
  • Tensor products of Hilbert spaces
  • Monotonicity and convexity for operators
  • von Neumann algebras on finite dimensional Hilbert spaces
  • Positive linear maps and quantum operators
  • Some basic trace function inequalities
  • Fundamental entropy inequalities
  • Consequences and refinements of SSA
  • Quantification of entanglement
  • Convexity, concavity and monotonicity
  • Majorization methods
  • Tomita-Takesaki theory and operator inequalities
  • Convex geometry
  • Complex interpolation
  • Bibliography
  • Index
Review Copy – for publishers of book reviews
Accessibility – to request an alternate format of an AMS title
Please select which format for which you are requesting permissions.