Supersymmetric SYK model and random matrix theory
Tianlin Li, Junyu Liu, Yuan Xin, Yehao Zhou
TL;DR
The paper analyzes how N=1 supersymmetry affects random-matrix classifications of the SYK model. It shows that while the original SYK follows GOE/GUE/GSE according to N mod 8, the SUSY extension shifts to extended AZ classes determined by the supercharge and Witten index, with H following Wishart-like spectra due to H=Q^2. Numerically, exact diagonalization confirms the predicted DoS shapes, eightfold level statistics, and dip-ramp-plateau structures in spectral form factors, with degeneracy-dependent plateau heights. The results reveal a structured interplay between supersymmetry and random-matrix universality and point to fruitful directions including higher SUSY, holography, and condensed-matter symmetry classifications.
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 $\mathcal{N}=1$ supersymmetric generalization of the Sachdev-Ye-Kitaev (SYK) model, a toy model for the 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.
