Description

Book Synopsis
Rigorously develops the theory of reproducing kernel Hilbert spaces. The authors then discuss the Pick problem of finding the function of smallest $H^\infty$ norm that has specified values at a finite number of points in the disk. Their viewpoint is to consider $H^\infty$ as the multiplier algebra of the Hardy space.

Trade Review
Written in a clear, straightforward style, at a level to make it accessible to someone—a mid-level graduate student, say—who wishes to study the material in detail for the first time ... contains exercises ... as well as ... open questions. It brings the reader up to the current 'state of the art' and so will be a valuable resource for the specialist ... would be an excellent basis for a graduate seminar or topics course."" — Mathematical Reviews

""Material is wonderfully presented, and the book serves as a lovely introduction to the subject. It is written by two authorities in the field, and helps grad students get entry into an exciting, modern, and very active research area."" — Palle Jorgensen

Table of Contents
  • Prerequisites and notation
  • Introduction
  • Kernels and function spaces
  • Hardy spaces
  • $P^2(\mu)$
  • Pick redux
  • Qualitative properties of the solution of the Pick problem in $H^\infty(\mathbb{D})$
  • Characterizing kernels with the complete Pick property
  • The universal Pick kernel
  • Interpolating sequences
  • Model theory I: Isometries
  • The bidisk
  • The extremal three point problem on $\mathbb{D}^2$
  • Collections of kernels
  • Model theory II: Function spaces
  • Localization
  • Schur products
  • Parrott's lemma
  • Riesz interpolation
  • The spectral theorem for normal $m$-tuples
  • Bibliography
  • Index

Pick Interpolation and Hilbert Function Spaces

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    £70.20

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    RRP £78.00 – you save £7.80 (10%)

    Order before 4pm today for delivery by Fri 19 Jun 2026.

    A Paperback by Jim Agler, John E. McCarthy

    1 in stock


      View other formats and editions of Pick Interpolation and Hilbert Function Spaces by Jim Agler

      Publisher: MP-AMM American Mathematical
      Publication Date: 1/1/2002 12:00:00 AM
      ISBN13: 9781470468552, 978-1470468552
      ISBN10: 1470468557

      Description

      Book Synopsis
      Rigorously develops the theory of reproducing kernel Hilbert spaces. The authors then discuss the Pick problem of finding the function of smallest $H^\infty$ norm that has specified values at a finite number of points in the disk. Their viewpoint is to consider $H^\infty$ as the multiplier algebra of the Hardy space.

      Trade Review
      Written in a clear, straightforward style, at a level to make it accessible to someone—a mid-level graduate student, say—who wishes to study the material in detail for the first time ... contains exercises ... as well as ... open questions. It brings the reader up to the current 'state of the art' and so will be a valuable resource for the specialist ... would be an excellent basis for a graduate seminar or topics course."" — Mathematical Reviews

      ""Material is wonderfully presented, and the book serves as a lovely introduction to the subject. It is written by two authorities in the field, and helps grad students get entry into an exciting, modern, and very active research area."" — Palle Jorgensen

      Table of Contents
      • Prerequisites and notation
      • Introduction
      • Kernels and function spaces
      • Hardy spaces
      • $P^2(\mu)$
      • Pick redux
      • Qualitative properties of the solution of the Pick problem in $H^\infty(\mathbb{D})$
      • Characterizing kernels with the complete Pick property
      • The universal Pick kernel
      • Interpolating sequences
      • Model theory I: Isometries
      • The bidisk
      • The extremal three point problem on $\mathbb{D}^2$
      • Collections of kernels
      • Model theory II: Function spaces
      • Localization
      • Schur products
      • Parrott's lemma
      • Riesz interpolation
      • The spectral theorem for normal $m$-tuples
      • Bibliography
      • Index

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