Multiscale Structure of Eigenstate Thermalization

TL;DR

This paper investigates the multiscale structure of matrix elements in eigenstate thermalization, revealing how their statistical properties depend on ensemble parameters and charge fluctuations in quantum many-body systems.

Contribution

It introduces a multiscale framework for understanding matrix element distributions, considering ensembles with adjustable charge fluctuation scales and providing explicit computations in an integrable field theory.

Findings

Matrix element distributions depend on macrostate parameters and ensemble sampling methods.

Identification of a class of states allowing explicit computation of suppression rates.

Discovery of a non-analytic fluctuation-scale dependence in the algebraic exponents.

Abstract

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.