4.6 Article

The asymptotics of a Bessel-kernel determinant which arises in Random Matrix Theory

期刊

ADVANCES IN MATHEMATICS
卷 225, 期 6, 页码 3088-3133

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.aim.2010.05.020

关键词

Random matrix; Gap probability; Determinant asymptotics; Wiener-Hopf operator; Toeplitz and Hankel operator

资金

  1. NSF [DMS-0901434]
  2. Direct For Mathematical & Physical Scien [0901434] Funding Source: National Science Foundation
  3. Division Of Mathematical Sciences [0901434] Funding Source: National Science Foundation

向作者/读者索取更多资源

In Random Matrix Theory the local correlations of the Laguerre and Jacobi Unitary Ensemble in the hard edge scaling limit can be described in terms of the Bessel kernel B-alpha(x, y) = root xy J(alpha)(x)yJ'(alpha)(y) - J(alpha)(y)xJ'(alpha)(x)/x(2)-y(2), x, y > 0, alpha > -1. In particular, the so-called hard edge gap probabilities P-(alpha) (R) can be expressed as the Fredholm determinants of the corresponding integral operator B-alpha restricted to the finite interval [0, R]. Using operator theoretic methods we are going to compute their asymptotics as R -> infinity, i.e., we show that P-(alpha) (R) :=det(I - B-alpha)vertical bar(L2[0, R]) similar to exp(- R-2/4 + alpha R - alpha(2)/2 log R) G(1+alpha)/(2 pi)(alpha/2), where G stands for the Barnes G-function. In fact, this asymptotic formula will be proved for all complex parameters alpha satisfying vertical bar Re alpha vertical bar < 1. (C) 2010 Elsevier Inc. All rights reserved.

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