Smooth crossover between weak and strong thermalization using rigorous bounds on equilibration of isolated systems

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2024-09-03 DOI:10.1016/j.physa.2024.130065
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Abstract

It is usually expected and observed that non-integrable isolated quantum systems thermalize. However, for some non-integrable spin chain models, in a numerical study, initial states with oscillations that persisted for some time were found and the phenomenon was named weak thermalization. Later, it was argued that such oscillations will eventually decay suggesting that weak thermalization was about time scales and not the size of the fluctuations. Nevertheless, the analyses of the size of the fluctuations were more qualitative. Here, using exact diagonalization we analyze how the size of the typical fluctuation, after long enough time for equilibration to happen, scales with the system size. For that, we use rigorous mathematical upper bounds on the equilibration of isolated quantum systems. We show that weak thermalization can be understood to be due to the small effective dimension of the initial state. Furthermore, we show that the fluctuations decay exponentially with the system size for both weak and strong thermalization indicating no sharp transitions between these two regimes.

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利用孤立系统平衡的严格界限实现弱热化和强热化之间的平稳过渡
人们通常预期并观察到,不可整合的孤立量子系统会热化。然而,对于某些不可整合的自旋链模型,在数值研究中发现,初始状态的振荡会持续一段时间,这种现象被命名为弱热化。后来,有人认为这种振荡最终会衰减,这表明弱热化与时间尺度有关,而与波动的大小无关。然而,对波动大小的分析更多的是定性的。在这里,我们利用精确对角分析了在经过足够长的平衡时间后,典型波动的大小如何与系统大小成比例关系。为此,我们使用了关于孤立量子系统平衡的严格数学上限。我们证明,弱热化可以理解为初始状态的有效维度较小所致。此外,我们还证明,无论是弱热化还是强热化,波动都会随系统大小呈指数衰减,这表明这两种状态之间没有急剧的转换。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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