1994
DOI: 10.1016/0550-3213(94)90055-8
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Simple currents versus orbifolds with discrete torsion — a complete classification

Abstract: We give a complete classification of all simple current modular invariants, extending previous results for (Z p ) k to arbitrary centers. We obtain a simple explicit formula for the most general case. Using orbifold techniques to this end, we find a one-to-one correspondence between simple current invariants and subgroups of the center with discrete torsions. As a by-product, we prove the conjectured monodromy independence of the total number of such invariants. The orbifold approach works in a straightforward… Show more

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Cited by 86 publications
(166 citation statements)
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“…All simple current invariants have been classified in [37], [35] and [33], under a mild regularity assumption for S, which, as we have seen in chapter 4, is not always satisfied. The simple currents of WZW models were classified in [38].…”
Section: Discussionmentioning
confidence: 99%
“…All simple current invariants have been classified in [37], [35] and [33], under a mild regularity assumption for S, which, as we have seen in chapter 4, is not always satisfied. The simple currents of WZW models were classified in [38].…”
Section: Discussionmentioning
confidence: 99%
“…The latter two numbers codify simple current data that describe respectively a MIPF and an orientifold. MIPFs are in general defined by means of a subgroup H of the simple current group G, plus a certain matrix X of rational numbers [55]. Orientifolds are defined by a simple current and a set of signs [43].…”
Section: Multiplet Inmentioning
confidence: 99%
“…To build MIPFs we make use of the formalism developed in [56,57], which can be shown to generate the most general MIPFs with non-vanishing off-diagonal multiplicities Z ij that lie entirely on simple current orbits: Z ij = 0 only if i and j are on the same simple current orbit. A general simple current invariant is described by a set of simple currents forming a discrete abelian group G, and a matrix X.…”
Section: Cft Constructionmentioning
confidence: 99%