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Gaussian fluctuations of eigenvalues in the GUE

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abstract

Under certain conditions on k we calculate the limit distribution of the k:th largest eigenvalue, x_k, of the Gaussian Unitary Ensemble (GUE). More specifically, if n is the dimension of a random matrix from the GUE and k is such that both k and n-k tends to infinity as n tends to infinity then x_k is normally distributed in the limit. We also consider the joint limit distribution of x_k_1 < ... < x_k_m where we require that k_1, k_{i+1}-k_i and n-k_m, i=1..m-1, tends to infinity with n. The result is an m-dimensional Normal Distribution.

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math.PR 1

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2026 1

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The Singular Values of L\'evy's Area Matrix

math.PR · 2026-06-08 · unverdicted · novelty 7.0

Explicit density for singular values of Lévy's area matrix, determinantal point process characterization, and d to infinity asymptotics including absolute Cauchy limit.

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  • The Singular Values of L\'evy's Area Matrix math.PR · 2026-06-08 · unverdicted · none · ref 50 · internal anchor

    Explicit density for singular values of Lévy's area matrix, determinantal point process characterization, and d to infinity asymptotics including absolute Cauchy limit.