Ensemble-averaged mean-field many-body level density: an indicator of integrable versus chaotic single-particle dynamics
Georg Maier, Carolyn Echter, Juan Diego Urbina, Caio Lewenkopf, Klaus Richter
TL;DR
This work shows that, unlike energy-averaged MB observables, the ensemble-averaged mean-field MB density of states (MBDOS) and its variance—computed by averaging over ensembles of single-particle (SP) spectra with either Poisson (integrable SP dynamics) or random-matrix theory (chaotic SP dynamics) statistics—carry robust signatures of the underlying SP dynamics. Using the Weidenmüller convolution formula, cluster-function formalism, and numerical simulations, the authors demonstrate that fermionic and bosonic MB systems exhibit distinct ensemble-averaged MBDOS behaviors: for Poisson SP statistics, fermions reduce to a Weyl volume term with large MB fluctuations, while bosons retain subleading structure; for chaotic SP statistics, SP correlations suppress the MBDOS relative to Poisson, with the suppression increasing with SP level repulsion and leading toward a fixed staircase determined by the underlying SP ensemble. Analysis as a function of excitation energy Q reveals substantial differences in the mean and fluctuations of the MB counting function, especially for bosons where saturation with N depends critically on the SP dynamics. Overall, the paper identifies ensemble-averaged MBDOS and its variance as a diagnostic of SP integrability vs chaos, with potential implications for MB dwell times and extensions to interacting systems.
Abstract
According to the quantum chaos paradigm, the nature of a system's classical dynamics, whether integrable or chaotic, is universally reflected in the fluctuations of its quantum spectrum. However, since many-body spectra in the mean field limit are composed of independent single-particle energy levels, their spectral fluctuations always display Poissonian behavior and hence cannot be used to distinguish underlying chaotic from integrable single-particle dynamics. We demonstrate that this distinction can, instead, be revealed from the mean many-body level density (at fixed energy) and its variance after averaging over ensembles representing different types of single-particle dynamics. This is in strong contrast to the energy-averaged mean level density (of a given system) that is assumed not to carry such information and is routinely removed to focus on universal signatures. To support our claim we systematically analyze the role of single-particle level correlations, that enter through Poisson and random matrix statistics (of various symmetry classes) into the ensemble-averaged density of states and its variance, contrasting bosonic and fermionic many-body systems. Our analytical study, together with extensive numerical simulations for systems with $N \ge 5$ particles consistently reveal significant differences (up to an order of magnitude for fermions and even larger for bosons) in the mean many-body level densities, depending on the nature of the underlying dynamics. Notably, in the fermionic case Poisson-type single-particle level fluctuations precisely cancel contributions from indistinguishability, such that the average many-body spectral density equals the (Thomas-Fermi) volume term. We further highlight the difference between the mean level density and its variance as functions of the total energy $E$ and the excitation energy $Q$.
