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12 - The Connes embedding problem

Published online by Cambridge University Press:  10 February 2020

Gilles Pisier
Affiliation:
Texas A & M University
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Summary

This chapter is a preparation for the formulation of the Connes embedding problem. We introduce tracial probability spaces (that is von Neumann algebras equipped with faithful, normaland normalized traces) and the so-called non-commutative L1 and L2 spaces associated to them.

The main examples that we describe are derived either from discrete groups or from semi-circular and circular systems, which are the analogues of Gaussian random variables in free probability. Wethen define ultraproducts of tracial probability spaces. This leads us to an important criterion for factorization of linear maps through B(H). We include a characterization of injectivity in terms of hypertraces, and we introduce the factorization property for discrete groups.

Type
Chapter
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Tensor Products of C*-Algebras and Operator Spaces
The Connes–Kirchberg Problem
, pp. 262 - 279
Publisher: Cambridge University Press
Print publication year: 2020

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  • The Connes embedding problem
  • Gilles Pisier, Texas A & M University
  • Book: Tensor Products of <I>C</I>*-Algebras and Operator Spaces
  • Online publication: 10 February 2020
  • Chapter DOI: https://doi.org/10.1017/9781108782081.013
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  • The Connes embedding problem
  • Gilles Pisier, Texas A & M University
  • Book: Tensor Products of <I>C</I>*-Algebras and Operator Spaces
  • Online publication: 10 February 2020
  • Chapter DOI: https://doi.org/10.1017/9781108782081.013
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • The Connes embedding problem
  • Gilles Pisier, Texas A & M University
  • Book: Tensor Products of <I>C</I>*-Algebras and Operator Spaces
  • Online publication: 10 February 2020
  • Chapter DOI: https://doi.org/10.1017/9781108782081.013
Available formats
×