The University of Southampton
University of Southampton Institutional Repository

String Hypothesis and Characters of Coset CFTs

String Hypothesis and Characters of Coset CFTs
String Hypothesis and Characters of Coset CFTs
We present an algorithm for the construction of the branching functions in the vacuum sector for affine Lie algebras based on the string hypothesis solution to a system of Bethe equations for generalized RSOS models. We also mention how the ground state structure and features of the excitation spectra like the Brillouin zone schemes of these models (and those in the same universality classes) can be extracted from combinatoric arguments and encoded in Lie algebraic terms.
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698

Dasmahapatra, Srinandan (1993) String Hypothesis and Characters of Coset CFTs. ICTP Preprint IC/93-91, hep-th/9305024..

Record type: Article

Abstract

We present an algorithm for the construction of the branching functions in the vacuum sector for affine Lie algebras based on the string hypothesis solution to a system of Bethe equations for generalized RSOS models. We also mention how the ground state structure and features of the excitation spectra like the Brillouin zone schemes of these models (and those in the same universality classes) can be extracted from combinatoric arguments and encoded in Lie algebraic terms.

This record has no associated files available for download.

More information

Published date: June 1993
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264089
URI: http://eprints.soton.ac.uk/id/eprint/264089
PURE UUID: 57a92ce4-ca3c-4e12-b563-2ba40357a72c

Catalogue record

Date deposited: 29 May 2007
Last modified: 10 Dec 2021 21:43

Export record

Contributors

Author: Srinandan Dasmahapatra

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.

×