Mesoscopic linear statistics of Wigner matrices
arXiv:1503.03533
Abstract
We study linear spectral statistics of Wigner random matrices on mesoscopic scales. Under mild assumptions on the matrix entries of , we prove that after centering and normalizing, the trace of the resolvent converges to a stationary Gaussian process as on scales and explicitly compute the covariance structure. The limit process is related to certain regularizations of fractional Brownian motion and logarithmically correlated fields appearing in \cite{FKS13}. Finally, we extend our results to general mesoscopic linear statistics and prove that the limiting covariance is given by the -norm of the test functions.
32 pages
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- Central Limit Theorem for Linear Eigenvalue Statistics for Submatrices of Wigner Random Matrices
- Pair Dependent Linear Statistics for Circular Beta Ensemble
- Fluctuations of the Stieltjes transform of the empirical spectral distribution of selfadjoint polynomials in Wigner and deterministic diagonal matrices
- On Cramér-von Mises statistic for the spectral distribution of random matrices
- Central limit theorems for the real eigenvalues of large Gaussian random matrices