Summing and nuclear norms in Banach space theory

書誌事項

Summing and nuclear norms in Banach space theory

G.J.O. Jameson

(London Mathematical Society student texts, 8)

Cambridge University Press, 1987

  • : hard
  • : pbk

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注記

Includes index

内容説明・目次

内容説明

This textbook is an introduction to the techniques of summing and nuclear norms. The author's aim is to present a clear and simple account of these ideas and to demonstrate the power of their application to a variety of Banach space questions. The style is expository and the only prerequisite is a beginner's course on Wormed linear spaces and a minimal knowledge of functional analysis. Thus, Dr Jameson is able to concentrate on important, central results and gives concrete and largely non-technical proofs, often supplying alternative proofs which both contribute something to the understanding. Final-year undergraduates and postgraduates in functional analysis will enjoy this introduction to the subject, and there are many examples and exercises throughout the text to help the reader and to demonstrate the range of application these techniques find. A list of references indicates the way for further reading.

目次

  • 0. Banach space background
  • 1. Finite rank operators: trace and 1-nuclear norm
  • 2. Finite sequences of elements : the quantities 1, 2
  • 3. The summing norms
  • 4. Other nuclear norms: duality with the summing norms
  • 5. Pietsch's theorem and its applications
  • 6. Averaging: type 2 and cotype 2 constants
  • 7. More averaging: Khinchin's inequality and related results
  • 8. Integral methods: Gaussian averaging
  • 9. 2-dominated spaces
  • 10. Grothendieck's inequality
  • 11. The interpolation method for Grothendieck-type theorems
  • 12. Results connected with the basis constant
  • 13. Estimation of summing norms using a restricted number of elements
  • 14. Pisier's theorem for pi2,1
  • 15. Tensor products of operators
  • 16. Trace duality revisited: integral norms
  • 17. Applications of local reflexivity
  • 18. Cone-summing norms.

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