1999
DOI: 10.1007/s002200050743
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Universality at the Edge of the Spectrum¶in Wigner Random Matrices

Abstract: We prove universality at the edge for rescaled correlation functions of Wigner random matrices in the limit n → +∞. As a corollary, we show that, after proper rescaling, the 1st, 2nd, 3rd, etc. eigenvalues of Wigner random hermitian (or real symmetric) matrix weakly converge to the distributions established by Tracy and Widom in G.U.E.

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Cited by 303 publications
(446 citation statements)
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“…It is shown in [12] that the above result actually holds for a wide class of random matrices M N (µ, µ ′ ) with centered distributions µ, µ ′ .…”
Section: Introduction and Resultsmentioning
confidence: 77%
“…It is shown in [12] that the above result actually holds for a wide class of random matrices M N (µ, µ ′ ) with centered distributions µ, µ ′ .…”
Section: Introduction and Resultsmentioning
confidence: 77%
“…By Proposition 2.3, (25) and the above, their contribution to E[TrM s N N ] is then at most of order (see also [29], p725)…”
Section: Asymptotics Of E[trm S N N ]mentioning
confidence: 86%
“…One can then deduce from universality of moments of traces that the asymptotic joint distribution of the largest eigenvalues for any ensemble considered here is the same as for the corresponding Wishart ensemble. The detail of the derivation of such a result from formula (7), including the required asymptotics of correlation functions for Wishart ensembles, can be found in [29], [30] and [6]. The improvement we obtain with respect to [30] is actually that Formula (7) holds for any value γ.…”
Section: Sketch Of the Proofmentioning
confidence: 95%
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“…Our attention is restricted to global properties since they are of higher relevance for our further analysis. The reader interested in local properties of random matrix spectra is referred to Mehta [87], Tracy, Widom [107,108,109], where the properties of level spacings are derived, and to Tracy, Widom [108,110,112], Soshnikov [101,104], Johnstone [76], for the results related to the distribution of extremal eigenvalue from Hermite and Laguerre ensembles.…”
Section: Historical Overview and Motivationmentioning
confidence: 99%