2018
DOI: 10.1007/jhep07(2018)178
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A non-existence theorem for N > 16 supersymmetric AdS3 backgrounds

Abstract: We show that there are no smooth warped AdS 3 solutions in 10-and 11-dimensional supergravities which preserve strictly more than 16 supersymmetries and have internal space a compact without boundary manifold.

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Cited by 17 publications
(35 citation statements)
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“…Recently, all warped anti-de-Sitter (AdS) backgrounds with fluxes that preserve N > 16 supersymmetries in d = 11 and d = 10 supergravities have been classified up to a local isometry in [1,2,3]. In this note, we extend this result to include all warped R n−1,1 × w M d−n backgrounds of these theories.…”
mentioning
confidence: 72%
“…Recently, all warped anti-de-Sitter (AdS) backgrounds with fluxes that preserve N > 16 supersymmetries in d = 11 and d = 10 supergravities have been classified up to a local isometry in [1,2,3]. In this note, we extend this result to include all warped R n−1,1 × w M d−n backgrounds of these theories.…”
mentioning
confidence: 72%
“…As an application of the technology developed so far, we shall provide a classification of smooth warped AdS backgrounds with compact, without boundary, internal space that preserve N > 16 supersymmetries in d = 11 and d = 10 type II supergravities [10,[259][260][261]. In particular, one can show the following.…”
Section: N > 16 Ads Backgroundsmentioning
confidence: 99%
“…One uses a similar methodology to establish the classification statement for AdS 4 backgrounds in Section 12.7 for (massive) IIA and IIB supergravities. This method can also be extended to prove a non-existence result for AdS 2 and AdS 3 backgrounds that preserve N > 16 supersymmetries [261,265].…”
Section: A Non-existence Theorem For Warped N = 24 Ads 5 Backgroundsmentioning
confidence: 99%
“…The best understood avatars of the AdS/CFT correspondence provide a map between geometries and CFTs preserving maximal supersymmetry, which for AdS 3 solutions in ten or eleven dimensions is 16 real supercharges [4]. These maximal cases are thus a well motivated place to focus a classification effort.…”
Section: Jhep05(2021)263 1 Introduction and Summarymentioning
confidence: 99%