2012
DOI: 10.1214/10-aihp410
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Central limit theorems for eigenvalues of deformations of Wigner matrices

Abstract: In this paper, we study the fluctuations of the extreme eigenvalues of a spiked finite rank deformation of a Hermitian (resp. symmetric) Wigner matrix when these eigenvalues separate from the bulk. We exhibit quite general situations that will give rise to universality or non universality of the fluctuations, according to the delocalization or localization of the eigenvectors of the perturbation. Dealing with the particular case of a spike with multiplicity one, we also establish a necessary and sufficient con… Show more

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Cited by 70 publications
(87 citation statements)
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“…Our main results are deviation estimates on the eigenvalue locations (Theorem 2.7) and the distribution of the outliers (Theorem 2.14). In subsequent remarks we discuss some special cases of interest, in particular making the link to the previous results of [11,12,13,32].…”
Section: Outline and Sketch Of Proofsmentioning
confidence: 91%
See 1 more Smart Citation
“…Our main results are deviation estimates on the eigenvalue locations (Theorem 2.7) and the distribution of the outliers (Theorem 2.14). In subsequent remarks we discuss some special cases of interest, in particular making the link to the previous results of [11,12,13,32].…”
Section: Outline and Sketch Of Proofsmentioning
confidence: 91%
“…Such models were first investigated by Füredi and Komlós [29]. Subsequently, much progress [5,6,7,11,12,13,28,32] has been made in the analysis of the spectrum of such deformed matrix models. See, e.g., [32] for a review of recent developments.…”
Section: Introductionmentioning
confidence: 99%
“…See also Theorem 1.5 of [3] and Theorem 3.4 of [1]. Together with Theorem 1.5 (iii) of the original article, (3) implies that 1 …”
mentioning
confidence: 80%
“…Thus A n + P n has two outliers λ n := θ p 1,1 λ 1,1 and λ n := θ p 2,1 λ 1,1 and one can compute the numbers K , σ, σ of (13), (14) and get Table 1 Comparison between theoretical asymptotic formulas (16) and (17) and a Monte-Carlo numerical computation made out of 10 3 matrices with size n = 10 3 …”
Section: Correlated Casementioning
confidence: 99%
“…This phenomenon has already been well understood in the Hermitian case. It was shown under several hypotheses in [7][8][9][10][13][14][15]17,24,25,27] that for a large random Hermitian matrix, if the strength of the added perturbation is above a certain threshold, then the extreme eigenvalues of the perturbed matrix deviate at a macroscopic distance from the bulk (such eigenvalues are usually called outliers) and have well understood fluctuations, otherwise they stick to the bulk and fluctuate as those of the non-perturbated matrix (this phenomenon is called the BBP phase transition, named after the authors of [3], who first brought it to light for empirical covariance matrices). Also, Tao, O'Rourke, Renfrew, Bordenave and Capitaine studied a non-Hermitian case: in [11,26,30] they considered spiked i.i.d.…”
Section: Introductionmentioning
confidence: 99%