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arxiv: 1009.0695 · v2 · pith:GZAMV7H2new · submitted 2010-09-03 · 🧮 math-ph · math.MP· math.PR

Rate of convergence of linear functions on the unitary group

classification 🧮 math-ph math.MPmath.PR
keywords randomconvergencerateunitarylinearmatrixsingularvalues
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We study the rate of convergence to a normal random variable of the real and imaginary parts of Tr(AU), where U is an N x N random unitary matrix and A is a deterministic complex matrix. We show that the rate of convergence is O(N^{-2 + b}), with 0 <= b < 1, depending only on the asymptotic behaviour of the singular values of A; for example, if the singular values are non-degenerate, different from zero and O(1) as N -> infinity, then b=0. The proof uses a Berry-Esse'en inequality for linear combinations of eigenvalues of random unitary, matrices, and so appropriate for strongly dependent random variables.

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