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On the Spectral Form Factor for Random Matrices

Giorgio Cipolloni, László Erdős, Dominik Schröder

2023Communications in Mathematical Physics20 citationsDOIOpen Access PDF

Abstract

Abstract In the physics literature the spectral form factor (SFF), the squared Fourier transform of the empirical eigenvalue density, is the most common tool to test universality for disordered quantum systems, yet previous mathematical results have been restricted only to two exactly solvable models (Forrester in J Stat Phys 183:33, 2021. https://doi.org/10.1007/s10955-021-02767-5 , Commun Math Phys 387:215–235, 2021. https://doi.org/10.1007/s00220-021-04193-w ). We rigorously prove the physics prediction on SFF up to an intermediate time scale for a large class of random matrices using a robust method, the multi-resolvent local laws. Beyond Wigner matrices we also consider the monoparametric ensemble and prove that universality of SFF can already be triggered by a single random parameter, supplementing the recently proven Wigner–Dyson universality (Cipolloni et al. in Probab Theory Relat Fields, 2021. https://doi.org/10.1007/s00440-022-01156-7 ) to larger spectral scales. Remarkably, extensive numerics indicates that our formulas correctly predict the SFF in the entire slope-dip-ramp regime, as customarily called in physics.

Topics & Concepts

Complex systemMathematicsFactor (programming language)Random matrixPure mathematicsStatistical physicsPhysicsEigenvalues and eigenvectorsQuantum mechanicsComputer scienceArtificial intelligenceProgramming languageQuantum chaos and dynamical systemsRandom Matrices and ApplicationsSpectral Theory in Mathematical Physics