The University of Southampton
University of Southampton Institutional Repository

Functoriality and K-theory for GL_n(R)

Functoriality and K-theory for GL_n(R)
Functoriality and K-theory for GL_n(R)
We investigate base change and automorphic induction C/R at the level of K-theory for the general linear group GL_n(R). In the course of this study, we compute in detail the C*-algebra K-theory of this disconnected group. This article is the archimedean companion of our previous article [12].
1867-5778
39-58
Mendes, Sergio
15127dc1-4f31-4609-a7c5-0fd10df6da08
Plymen, Roger
76de3dd0-ddcb-4a34-98e1-257dddb731f5
Mendes, Sergio
15127dc1-4f31-4609-a7c5-0fd10df6da08
Plymen, Roger
76de3dd0-ddcb-4a34-98e1-257dddb731f5

Mendes, Sergio and Plymen, Roger (2017) Functoriality and K-theory for GL_n(R). Munster Journal of Mathematics, 10, 39-58. (doi:10.17879/33249453612).

Record type: Article

Abstract

We investigate base change and automorphic induction C/R at the level of K-theory for the general linear group GL_n(R). In the course of this study, we compute in detail the C*-algebra K-theory of this disconnected group. This article is the archimedean companion of our previous article [12].

Text
Mendes_Plymen_MJM.pdf - Accepted Manuscript
Download (386kB)

More information

Accepted/In Press date: 10 June 2016
Published date: 20 February 2017
Organisations: Mathematical Sciences

Identifiers

Local EPrints ID: 396836
URI: http://eprints.soton.ac.uk/id/eprint/396836
ISSN: 1867-5778
PURE UUID: f5913aaf-c9be-42ab-a34b-32677d657099

Catalogue record

Date deposited: 14 Jun 2016 15:11
Last modified: 06 Feb 2018 05:01

Export record

Altmetrics

Contributors

Author: Sergio Mendes
Author: Roger Plymen

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×