Published June 21, 2017 | Version Published + Submitted
Journal Article Open

Supersymmetric SYK model and random matrix theory

  • 1. ROR icon University of Nebraska–Lincoln
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Boston University
  • 4. ROR icon Perimeter Institute

Abstract

In this paper, we investigate the effect of supersymmetry on the symmetry classification of random matrix theory ensembles. We mainly consider the random matrix behaviors in the N = 1 supersymmetric generalization of Sachdev-Ye-Kitaev (SYK) model, a toy model for two-dimensional quantum black hole with supersymmetric constraint. Some analytical arguments and numerical results are given to show that the statistics of the supersymmetric SYK model could be interpreted as random matrix theory ensembles, with a different eight-fold classification from the original SYK model and some new features. The time-dependent evolution of the spectral form factor is also investigated, where predictions from random matrix theory are governing the late time behavior of the chaotic hamiltonian with supersymmetry.

Additional Information

© 2017 The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited. Received: February 16, 2017. Revised: May 15, 2017. Accepted: June 5, 2017. Published: June 21, 2017. We thank Xie Chen, Kevin Costello, Liam Fitzpatrick, Davide Gaiotto, Yingfei Gu, Nicholas Hunter-Jones, Alexei Kitaev, Andreas Ludwig, Evgeny Mozgunov and Alexandre Streicher for valuable discussions. We thank Takuya Kanazawa for comments on the draft. JL is deeply grateful to Guy Gur-Ari for communications on the symmetry of the original and supersymmetric SYK models. TL, JL, YX and YZ are supported by graduate student programs of University of Nebraska, Caltech, Boston University and Perimeter Institute.

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Published - 10.1007_2FJHEP06_2017_111.pdf

Submitted - 1702.01738.pdf

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Identifiers

Eprint ID
78643
Resolver ID
CaltechAUTHORS:20170628-103518658

Related works

Funding

University of Nebraska
Caltech
Boston University
Perimeter Institute

Dates

Created
2017-06-28
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Updated
2021-11-15
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