2015
DOI: 10.48550/arxiv.1503.03533
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Mesoscopic linear statistics of Wigner matrices

Abstract: We study linear spectral statistics of N × N Wigner random matrices H on mesoscopic scales. Under mild assumptions on the matrix entries of H, we prove that after centering and normalizing, the trace of the resolvent Tr(H − z) −1 converges to a stationary Gaussian process as N → ∞ on scales N −1/3 ≪ Im(z) ≪ 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 [34]. Finally, we … Show more

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Cited by 20 publications
(22 citation statements)
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References 57 publications
(89 reference statements)
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“…It allows us to prove a mesoscopic central limit theorem near the edge. The mesoscopic central limit at the bulk for Wigner matrices was proven in [6,7,25,35], for β-ensemble in [35] and for Dyson Brownian motion in [9,27,28]. As far as we know, the mesoscopic central limit theorem near the edge is new even for the Wigner matrices and β-ensembles.…”
Section: Introductionmentioning
confidence: 97%
“…It allows us to prove a mesoscopic central limit theorem near the edge. The mesoscopic central limit at the bulk for Wigner matrices was proven in [6,7,25,35], for β-ensemble in [35] and for Dyson Brownian motion in [9,27,28]. As far as we know, the mesoscopic central limit theorem near the edge is new even for the Wigner matrices and β-ensembles.…”
Section: Introductionmentioning
confidence: 97%
“…Because of the rescaling by N α , the sums (1.3) typically involve about N 1−α eigenvalues, and consequently such linear statistics are refered to as mesoscopic. This result has been known in restricted cases for some time (see [10,11,24]). In [20], the authors obtain the result for general Wigner matrices and general f .…”
Section: Mesoscopic Linear Statisticsmentioning
confidence: 63%
“…However, special attention must be paid to the type of function f that arises from the homogenization theory; up to lower order corrections it is a smoothed out step function. In particular it is not of compact support, lying outside works such as [37,47]. The work [42] overcomes the limitations of previous approaches to linear spectral statistics by proving a mesoscopic CLT for test functions of noncompact support; the fluctuations for such mesoscopic statistics turn out to be on the scale a logpN q with the non-universal contributions to the variance again being removed by the extra a logpN q fac-tor.…”
Section: Proof Strategymentioning
confidence: 92%
“…Therefore, the second ingredient of the proof in [42] is a central limit theorem for mesoscopic LSS. Mesoscopic central limit theorems for functions f of compact support are well studied [37,47], and results analogous to (1.9). Note that when f is of compact support, the non-universal contributions to V pϕq vanish.…”
Section: Proof Strategymentioning
confidence: 99%
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