Fractional exclusion statistics and the Random Matrix Boson Ensemble
Saul Hern\'andez-Quiroz, Manuel Beltr\'an, Luis Benet, Jorge Flores, and Germinal Cocho

TL;DR
This paper explores the energy spectrum of bosonic random matrix ensembles, revealing a generalized beta distribution that aligns with fractional exclusion statistics, bridging random matrix theory and quantum statistical models.
Contribution
It demonstrates that the energy spectrum of the bosonic ensemble follows a generalized beta distribution, connecting it with fractional exclusion statistics introduced by Haldane.
Findings
Energy spectrum follows a generalized beta distribution.
Distribution matches that of non-interacting quasiparticles obeying fractional exclusion statistics.
Links random matrix ensembles with quantum statistical models.
Abstract
The k-body Gaussian Embedded Ensemble of Random Matrices is considered for N bosons distributed on two single-particle levels. When k = N, the ensemble is equivalent to the Gaussian Orthogonal Ensemble (GOE), and when k = 2 it corresponds to the Two-body Random Ensemble (TBRE) for bosons. It is shown that the energy spectrum leads to a rank function which is of the form of a discrete generalized beta distribution. The same distribution is obtained assuming N non-interacting quasiparticles that obey the fractional exclusion statistics introduced by Haldane two decades ago.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Theoretical and Computational Physics
