Largest eigenvalue distribution in the double scaling limit of matrix models: A Coulomb fluid approach

Details Largest eigenvalue distribution in the double scaling limit of matrix models: A Coulomb fluid approach Largest eigenvalue distribution in the double scaling limit of matrix models: A Coulomb fluid approach

1995-02-20

arxiv.org/abs/hep-th/9502123v1

J.Phys. A28 (1995) L207-L212

Physics

High Energy Physics

High Energy Physics - Theory

10 pages, no figures, to appear in J.Phys. A Lett. 1995

Scientific paper

10.1088/0022-3727/28/1/029

Using thermodynamic arguments we find that the probability that there are no eigenvalues in the interval (-s,\infty) in the double scaling limit of Hermitean matrix models is O(exp(-s^{2m+1})) as s\to+\infty.Here m=1,2,3.. determine the m^{th} multi-critical point of the level density:\sigma(x)\sim b[1-(x/b)^2]^{m-1/2} and b^2\sim N.Furthermore,the size of the transition zone where the eigenvalue density becomes vanishingly small at the tail of the spectrum is \sim N^{(m-3/2)/(2m+1)} in agreement with earlier work based on the string equation.

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