近似对称系统中的希尔伯特空间扩散

Rahel L. Baumgartner, Luca V. Delacrétaz, Pranjal Nayak, Julian Sonner
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引用次数: 0

摘要

随机矩阵理论(RMT)的普遍性是量子力学混沌系统的定义属性,可以通过谱形因子(SFF)等观测指标来探测。在本文中,我们描述了具有近似对称性的系统在中间时间尺度上对 RMT 行为的系统性偏离。在早期,对称性允许我们将希尔伯特空间组织成近似解耦的扇区,每个扇区都对 SFF 有独立的贡献。在晚期,SFF 过渡到完全混合混沌哈密顿的最终斜坡。对于近似连续对称性,过渡行为受一个普遍过程的支配,我们称之为希尔伯特间隔扩散(Hilbert spacediffusion)。与这一过程相对应的扩散常数与相关近似守恒电荷的弛豫速率有关。通过实施希尔伯特空间扩散的混沌西格玛模型,我们提出了这一过程的分析理论,该理论与我们对不同例子的数值结果在数量上是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hilbert Space Diffusion in Systems with Approximate Symmetries
Random matrix theory (RMT) universality is the defining property of quantum mechanical chaotic systems, and can be probed by observables like the spectral form factor (SFF). In this paper, we describe systematic deviations from RMT behaviour at intermediate time scales in systems with approximate symmetries. At early times, the symmetries allow us to organize the Hilbert space into approximately decoupled sectors, each of which contributes independently to the SFF. At late times, the SFF transitions into the final ramp of the fully mixed chaotic Hamiltonian. For approximate continuous symmetries, the transitional behaviour is governed by a universal process that we call Hilbert space diffusion. The diffusion constant corresponding to this process is related to the relaxation rate of the associated nearly conserved charge. By implementing a chaotic sigma model for Hilbert-space diffusion, we formulate an analytic theory of this process which agrees quantitatively with our numerical results for different examples.
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