arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1702.01738hep-thcond-mat.stat-mechquant-ph
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超对称SYK模型与随机矩阵理论

Supersymmetric SYK model and random matrix theory

Tianlin Li, Junyu Liu, Yuan Xin, Yehao Zhou

摘要:

本文研究了超对称性对随机矩阵理论系综对称分类的影响。本文主要研究二维量子黑洞的玩具模型Sachdev-Ye-Kitaev(SYK)模型的超对称推广的$\mathcal{N}=1$中的随机矩阵行为。给出的一些分析论据和数值结果表明,超对称SYK模型的统计数据可以解释为随机矩阵理论系综,具有与原始SYK模型不同的八重分类和一些新特征。谱形状因子随时间的演化也进行了研究,其中随机矩阵理论的预测是控制超对称混沌哈密顿量的后期行为。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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