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MTA Rényi Intézet, tondós terem
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Description
The eigenvalues of random matrices are basic examples of point processes with strong correlations and their scaling limits are very different from that of independent points. After a short presentation of the so-called circular unitary ensemble (CUE) and Gaussian unitary ensemble (GUE), I am planning to discuss proofs of the central limit theorem for smooth linear statistics for both models. The method is elementary and the talk aims at a general audience.