2000
DOI: 10.1016/s0550-3213(00)00314-x
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Target space duality I: general theory

Abstract: We develop a systematic framework for studying target space duality at the classical level. We show that target space duality between manifolds M and M arises because of the existence of a very special symplectic manifold. This manifold locally looks like M × M and admits a double fibration. We analyze the local geometric requirements necessary for target space duality and prove that both manifolds must admit flat orthogonal connections. We show how abelian duality, nonabelian duality and Poisson-Lie duality a… Show more

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Cited by 25 publications
(36 citation statements)
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“…(2). It doesn't really make sense as a cohomology class or differential form since the nonclassical T-dual is not a space; rather, it is subsumed in the noncommutative structure of the dual.…”
Section: 4mentioning
confidence: 99%
“…(2). It doesn't really make sense as a cohomology class or differential form since the nonclassical T-dual is not a space; rather, it is subsumed in the noncommutative structure of the dual.…”
Section: 4mentioning
confidence: 99%
“…The sigma model with target space M, metric g and 2-form B will be denoted by (M, g, B) and has lagrangian Our default scenario is general riemannian manifolds but we often specialize to the case of Lie groups. Overall, the methods we use are differential geometric ones that expand on ideas in [1,10,11]. The bundle of orthonormal frames, the Cartan structural equations and the exterior differential calculus play a central role.…”
Section: Introductionmentioning
confidence: 99%
“…As in [28] it is convenient to choose an orthonormal frame {ω i } with the antisymmetric riemannian connection ω ij . The Cartan structural equations are…”
Section: Introductionmentioning
confidence: 99%
“…The orthogonal matrix valued functions T ± : M × M → SO(n) are not arbitrary but related by 11) where the antisymmetric tensor n ij on M × M satisfies some PDEs given in [28]. In this article we relax such restrictions on T ± and consider orthogonal matrix valued functions T ± : Σ → SO(n) with the constraint that solutions to the the sigma model (M, g, B) are mapped into solutions of ( M,g, B) and vice versa.…”
Section: Introductionmentioning
confidence: 99%