Joint probability densities of level spacing ratios in random matrices
Y. Y. Atas, E. Bogomolny, O. Giraud, P. Vivo, E. Vivo

TL;DR
This paper derives analytical joint probability densities for ratios of level spacings in finite-size random matrices, providing explicit formulas for specific ensembles and validating them against simulations and known data.
Contribution
It introduces new analytical formulas for joint probability densities of level spacing ratios in finite random matrices, including generalizations like overlapping ratios.
Findings
Analytical formulas match numerical simulations.
Explicit calculations for beta-Hermite and beta-Laguerre ensembles.
Results agree with quantum many-body and Riemann zeta zeros data.
Abstract
We calculate analytically, for finite-size matrices, joint probability densities of ratios of level spacings in ensembles of random matrices characterized by their associated confining potential. We focus on the ratios of two spacings between three consecutive real eigenvalues, as well as certain generalizations such as the overlapping ratios. The resulting formulas are further analyzed in detail in two specific cases: the beta-Hermite and the beta-Laguerre cases, for which we offer explicit calculations for small N. The analytical results are in excellent agreement with numerical simulations of usual random matrix ensembles, and with the level statistics of a quantum many-body lattice model and zeros of the Riemann zeta function.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRandom Matrices and Applications · Algebraic structures and combinatorial models · Quantum many-body systems
