Pith. sign in

REVIEW 2 cited by

Mesoscopic linear statistics of Wigner matrices

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1503.03533 v1 pith:YEAISPXC submitted 2015-03-11 math.PR

Mesoscopic linear statistics of Wigner matrices

classification math.PR
keywords linearmathcalmesoscopicstatisticscovariancemathrmmatricesprocess
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

We study linear spectral statistics of $N \times N$ Wigner random matrices $\mathcal{H}$ on mesoscopic scales. Under mild assumptions on the matrix entries of $\mathcal{H}$, we prove that after centering and normalizing, the trace of the resolvent $\mathrm{Tr}(\mathcal{H}-z)^{-1}$ converges to a stationary Gaussian process as $N \to \infty$ on scales $N^{-1/3} \ll \mathrm{Im}(z) \ll 1$ 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 $H^{1/2}$-norm of the test functions.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Mesoscopic eigenvalue statistics for correlated random matrices

    math.PR 2026-07 conditional novelty 6.0

    Mesoscopic CLT for linear eigenvalue statistics of correlated Hermitian matrices, via multivariate cumulant expansion, multi-resolvent local laws, and operator-level variance-kernel analysis.

  2. Mesoscopic Linear Statistics for Two Ensembles of Quantum Graphs

    math-ph 2026-07 unverdicted novelty 5.0

    Variance of mesoscopic linear spectral statistics for random quantum graphs coincides with GOE/GUE.