Fluctuations of Rectangular Young Diagrams of Interlacing Wigner Eigenvalues

Abstract We prove a new central limit theorem (CLT) for the difference of linear eigenvalue statistics of a Wigner random matrix $H$ and its minor $\widehat H$ and find that the fluctuation is much smaller than the fluctuations of the individual linear statistics, as a consequence of the strong corr...

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Bibliographic Details
Published in:International mathematics research notices Vol. 2018; no. 10; pp. 3255 - 3298
Main Authors: Erdős, László, Schröder, Dominik
Format: Journal Article
Language:English
Published: Oxford University Press 18-05-2018
Online Access:Get full text
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Summary:Abstract We prove a new central limit theorem (CLT) for the difference of linear eigenvalue statistics of a Wigner random matrix $H$ and its minor $\widehat H$ and find that the fluctuation is much smaller than the fluctuations of the individual linear statistics, as a consequence of the strong correlation between the eigenvalues of $H$ and $\widehat H$. In particular, our theorem identifies the fluctuation of Kerov’s rectangular Young diagrams, defined by the interlacing eigenvalues of $H$ and $\widehat H$, around their asymptotic shape, the Vershik–Kerov–Logan–Shepp curve. Young diagrams equipped with the Plancherel measure follow the same limiting shape. For this, algebraically motivated, ensemble a CLT has been obtained in Ivanov and Olshanski [20] which is structurally similar to our result but the variance is different, indicating that the analogy between the two models has its limitations. Moreover, our theorem shows that Borodin’s result [7] on the convergence of the spectral distribution of Wigner matrices to a Gaussian free field also holds in derivative sense.
ISSN:1073-7928
1687-0247
DOI:10.1093/imrn/rnw330