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Convergence Rate to the Tracy–Widom Laws for the Largest Eigenvalue of Wigner Matrices

We show that the fluctuations of the largest eigenvalue of a real symmetric or complex Hermitian Wigner matrix of size N converge to the Tracy–Widom laws at a rate [Formula: see text] , as N tends to infinity. For Wigner matrices this improves the previous rate [Formula: see text] obtained by Bourga...

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Detalles Bibliográficos
Autores principales: Schnelli, Kevin, Xu, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232480/
https://www.ncbi.nlm.nih.gov/pubmed/35765414
http://dx.doi.org/10.1007/s00220-022-04377-y
Descripción
Sumario:We show that the fluctuations of the largest eigenvalue of a real symmetric or complex Hermitian Wigner matrix of size N converge to the Tracy–Widom laws at a rate [Formula: see text] , as N tends to infinity. For Wigner matrices this improves the previous rate [Formula: see text] obtained by Bourgade (J Eur Math Soc, 2021) for generalized Wigner matrices. Our result follows from a Green function comparison theorem, originally introduced by Erdős et al. (Adv Math 229(3):1435–1515, 2012) to prove edge universality, on a finer spectral parameter scale with improved error estimates. The proof relies on the continuous Green function flow induced by a matrix-valued Ornstein–Uhlenbeck process. Precise estimates on leading contributions from the third and fourth order moments of the matrix entries are obtained using iterative cumulant expansions and recursive comparisons for correlation functions, along with uniform convergence estimates for correlation kernels of the Gaussian invariant ensembles.