Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published March 2018 | Submitted
Journal Article Open

The classification problem for operator algebraic varieties and their multiplier algebras

Abstract

We study from the perspective of Borel complexity theory the classification problem for multiplier algebras associated with operator algebraic varieties. These algebras are precisely the multiplier algebras of irreducible complete Nevanlinna-Pick spaces. We prove that these algebras are not classifiable up to algebraic isomorphism using countable structures as invariants. In order to prove such a result, we develop the theory of turbulence for Polish groupoids, which generalizes Hjorth's turbulence theory for Polish group actions. We also prove that the classification problem for multiplier algebras associated with varieties in a finite-dimensional ball up to isometric isomorphism has maximum complexity among the essentially countable classification problems. In particular, this shows that Blaschke sequences are not smoothly classifiable up to conformal equivalence via automorphisms of the disc.

Additional Information

© 2017 American Mathematical Society. Received by the editors September 7, 2015 and, in revised form, December 3, 2016. Published electronically: November 1, 2017. The first author was partially supported by an Ontario Trillium Scholarship. The second author was supported by the York University Susan Mann Dissertation Scholarship and by the ERC Starting Grant No. 259527 of Goulnara Arzhantseva. This work was initiated during a visit of the first-named author to the Fields Institute in March 2015. The hospitality of the Institute is gratefully acknowledged. The authors would like to thank the anonymous referee for carefully reviewing the paper and providing a large number of useful comments.

Attached Files

Submitted - 1508.07044.pdf

Files

1508.07044.pdf
Files (261.6 kB)
Name Size Download all
md5:e4b7faf1419713fa7c4c4cbc0381b970
261.6 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 18, 2023