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A note on the expansion of the smallest eigenvalue distribution of the LUE at the hard edge

2016; Institute of Mathematical Statistics; Volume: 26; Issue: 3 Linguagem: Inglês

10.1214/15-aap1121

2168-8737

Folkmar Bornemann,

Bayesian Methods and Mixture Models

In a recent paper, Edelman, Guionnet and Péché conjectured a particular $n^{-1}$ correction term of the smallest eigenvalue distribution of the Laguerre unitary ensemble (LUE) of order $n$ in the hard-edge scaling limit: specifically, the derivative of the limit distribution, that is, the density, shows up in that correction term. We give a short proof by modifying the hard-edge scaling to achieve an optimal $O(n^{-2})$ rate of convergence of the smallest eigenvalue distribution. The appearance of the derivative follows then by a Taylor expansion of the less optimal, standard hard-edge scaling. We relate the $n^{-1}$ correction term further to the logarithmic derivative of the Bessel kernel Fredholm determinant in the work of Tracy and Widom.