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arXiv 2605.08079cond-mat.stat-mechhep-thmath-phmath.MP
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量子多尺度结构的本征态热化

Multiscale Structure of Eigenstate Thermalization

Faculty for Mathematics and Physics, University of Ljubljana(卢布尔雅那大学数学与物理学院)

Pavel Orlov, Rustem Sharipov, Enej Ilievski

AI总结:

研究揭示了本征态热化中矩阵元分布的多尺度结构,通过可调尺度参数分析热化系统的统计性质。

摘要:

本征态热化假说通过描述孤立量子多体系统中能量本征态的局部算符统计性质,提供了一个理解热化的框架。本文展示,宏观系统中矩阵元分布不仅依赖于宏观态参数,如局部守恒量的密度,还一般依赖于采样本征态所用的统计集合的性质。为此,我们从传统的微canonical窗口分析出发,考虑具有可调尺度参数的统计集合,该参数规定了电荷波动的大小。我们特别考虑一个可积场论,它允许高效地数值采样矩阵元并可靠地扩展到热力学极限。此外,在该系统中,我们识别出一类状态,使其能够显式地闭合形式计算矩阵元的抑制率。我们的发现揭示了由非解析波动尺度依赖的代数指数支配的矩阵元统计性质的内在多尺度结构。

英文摘要:

The eigenstate thermalization hypothesis provides a framework for understanding thermalization in isolated quantum many-body systems by characterizing statistical properties of local observables in energy eigenstates. Here we demonstrate that distributions of matrix elements in macroscopic systems may depend not only on the macrostate parameters, such as the densities of local conserved charges, but generally also on the properties of ensembles used in sampling eigenstates. To this end, we depart from the conventional analysis of microcanonical windows and consider statistical ensembles with an adjustable scale parameter prescribing the magnitude of charge fluctuations. We specifically consider an integrable field theory that permits efficient numerical sampling of matrix elements and reliable extrapolation to the thermodynamic limit. Moreover, in this system, we identify a class of states that enables explicit closed-form computation of the suppression rate of matrix elements. Our findings reveal an underlying multiscale structure of matrix elements captured by a non-analytic fluctuation-scale dependence of algebraic exponents governing their statistical properties.

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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