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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Published in: | International mathematics research notices Vol. 2018; no. 10; pp. 3255 - 3298 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
Oxford University Press
18-05-2018
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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. |
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ISSN: | 1073-7928 1687-0247 |
DOI: | 10.1093/imrn/rnw330 |