Momentum Fractionation on Superstrata - Archive ouverte HAL Access content directly
Journal Articles Journal of High Energy Physics Year : 2016

Momentum Fractionation on Superstrata

(1) , (2) , (1) , (3)
1
2
3
Iosif Bena
  • Function : Author
  • PersonId : 880742
Emil Martinec
  • Function : Author
  • PersonId : 1006426
David Turton
  • Function : Author
  • PersonId : 1006427
Nicholas P. Warner
  • Function : Author
  • PersonId : 1006428

Abstract

Superstrata are bound states in string theory that carry D1, D5, and momentum charges, and whose supergravity descriptions are parameterized by arbitrary functions of (at least) two variables. In the D1-D5 CFT, typical three-charge states reside in high-degree twisted sectors, and their momentum charge is carried by modes that individually have fractional momentum. Understanding this momentum fractionation holographically is crucial for understanding typical black-hole microstates in this system. We use solution-generating techniques to add momentum to a multi-wound supertube and thereby construct the first examples of asymptotically-flat superstrata. The resulting supergravity solutions are horizonless and smooth up to well-understood orbifold singularities. Upon taking the AdS3 decoupling limit, our solutions are dual to CFT states with momentum fractionation. We give a precise proposal for these dual CFT states. Our construction establishes the very nontrivial fact that large classes of CFT states with momentum fractionation can be realized in the bulk as smooth horizonless supergravity solutions.
Fichier principal
Vignette du fichier
1601.05805.pdf (625.29 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

cea-01508022 , version 1 (13-04-2017)

Identifiers

Cite

Iosif Bena, Emil Martinec, David Turton, Nicholas P. Warner. Momentum Fractionation on Superstrata. Journal of High Energy Physics, 2016, 64, pp.85006. ⟨10.1007/JHEP05(2016)064⟩. ⟨cea-01508022⟩
29 View
68 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More