Fast Approach to the Tracy–Widom Law at the Edge of GOE and GUE

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rate of convergence
random matrix
largest eigenvalue
Statistics and Probability

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We study the rate of convergence for the largest eigenvalue distributions in the Gaussian unitary and orthogonal ensembles to their Tracy–Widom limits. We show that one can achieve an O(N−2/3) rate with particular choices of the centering and scaling constants. The arguments here also shed light on more complicated cases of Laguerre and Jacobi ensembles, in both unitary and orthogonal versions. Numerical work shows that the suggested constants yield reasonable approximations, even for surprisingly small values of N.

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2012-01-01

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The Annals of Applied Probability

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