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    Chapter

    A Appendices

  2. A.1 Non-symmetric means

  3. A.2 Norm inequality for operator integrals

  4. ...
  5. Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    References

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    Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    2 Double integral transformations

  8. 2.1 Schur multipliers and Peller’s theorem

  9. 2.2 Extension to B(H)

  10. ...
  11. Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    4 Convergence of means

  13. 4.1 Main convergence result

  14. 4.2 Related convergence results

  15. Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    6 Heinz-type means A α

  17. 6.1 Norm continuity in parameter

  18. 6.2 Convergence of operator Riemann sums

  19. Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    8 Certain alternating sums of operators

  21. 8.1 Preliminaries

  22. 8.2 Uniform bounds for norms

  23. 8.3 Mono...

  24. Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    1 Introduction

    The present monograph is devoted to a thorough study of means for Hilbert space operators, especially comparison of (unitarily invariant) norms of operator means and their convergence properties in various asp...

    Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    3 Means of operators and their comparison

  27. 3.1 Symmetric homogeneous means

  28. 3.2 Integral expression and comparison of norms

  29. ...

    Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    5 A-L-G interpolation means M α

  31. 5.1 Monotonicity and related results

  32. 5.2 Characterization of |||M (H,K)X<∞

  33. ...

    Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    7 Binomial means B α

  35. 7.1 Majorization B αM

  36. 7.2 Equivalence of |||B α (H,K)X||| for

  37. Fumio Hiai, Hideki Kosaki in Means of Hilbert Space Operators (2003)

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    Chapter

    Fundamentals of Operators and Matrices

    A linear map** is essentially a matrix if the vector space is finite-dimensional. In this book the vector space is typically a finite-dimensional complex Hilbert space.

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)

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    Chapter

    Functional Calculus and Derivation

    Let \(A\in \mathbb {M}_n({\mathbb C})\) A ∈ ...

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)

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    Chapter

    Matrix Means and Inequalities

    The study of numerical means has been a popular subject for centuries, and the inequalities

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)

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    Chapter

    Some Applications

    Matrices are important in many areas of both pure and applied mathematics. In particular, they play essential roles in quantum probability and quantum information.

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)

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    Chapter

    Map**s and Algebras

    Most of the statements and definitions in this chapter are formulated in the Hilbert space setting.

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)

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    Chapter

    Matrix Monotone Functions and Convexity

    Let \((a, b) \subset {\mathbb R}\) ( a , ...

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)

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    Chapter

    Majorization and Singular Values

    A citation from von Neumann: “The object of this note is the study of certain properties of complex matrices of \(n\) ...

    Fumio Hiai, Dénes Petz in Introduction to Matrix Analysis and Applications (2014)