Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

K-theory of AF-algebras from braided C*-tensor categories

Aaserud, Andreas and Evans, David 2020. K-theory of AF-algebras from braided C*-tensor categories. Reviews in Mathematical Physics 32 (08) , 2030005. 10.1142/S0129055X20300058

PDF - Accepted Post-Print Version
Download (683kB) | Preview


Renault, Wassermann, Handelman and Rossmann (early 1980s) and Evans and Gould (1994) explicitly described the K-theory of certain unital AF-algebras A as (quotients of) polynomial rings. In this paper, we show that in each case the multiplication in the polynomial ring (quotient) is induced by a ∗-homomorphism A⊗A→A arising from a unitary braiding on a C*-tensor category and essentially defined by Erlijman and Wenzl (2007). We also present some new explicit calculations based on the work of Gepner, Fuchs and others. Specifically, we perform computations for the rank two compact Lie groups SU(3), Sp(4) and G2 that are analogous to the Evans-Gould computation for the rank one compact Lie group SU(2). The Verlinde rings are the fusion rings of Wess-Zumino-Witten models in conformal field theory or, equivalently, of certain related C*-tensor categories. Freed, Hopkins and Teleman (early 2000s) realized these rings via twisted equivariant K-theory. Inspired by this, our long-term goal is to realize these rings in a simpler K-theoretical manner, avoiding the technicalities of loop group analysis. As a step in this direction, we note that the Verlinde rings can be recovered as above in certain special cases.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Publisher: World Scientific Publishing
ISSN: 0129-055X
Funders: EPSRC
Date of First Compliant Deposit: 20 February 2020
Date of Acceptance: 20 February 2020
Last Modified: 25 Mar 2021 03:05

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics