Exponential moments for disk counting statistics at the hard edge of random normal matrices

  • Yacin Ameur

    Lund University, Sweden
  • Christophe Charlier

    Lund University, Sweden
  • Joakim Cronvall

    Lund University, Sweden
  • Jonatan Lenells

    KTH Royal Institute of Technology, Stockholm, Sweden
Exponential moments for disk counting statistics at the hard edge of random normal matrices cover
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Abstract

We consider the multivariate moment generating function of the disk counting statistics of a model Mittag-Leffler ensemble in the presence of a hard wall. Let be the number of points. We focus on two regimes: (a) the “hard edge regime” where all disk boundaries are at a distance of order from the hard wall, and (b) the “semi-hard edge regime” where all disk boundaries are at a distance of order from the hard wall. As , we prove that the moment generating function enjoys asymptotics of the form

for the hard edge,

for the semi-hard edge.

In both cases, we determine the constants explicitly. We also derive precise asymptotic formulas for all joint cumulants of the disk counting function, and establish several central limit theorems. Surprisingly, and in contrast to the “bulk”, “soft edge”, and “semi-hard edge” regimes, the second and higher order cumulants of the disk counting function in the “hard edge” regime are proportional to and not to .

Cite this article

Yacin Ameur, Christophe Charlier, Joakim Cronvall, Jonatan Lenells, Exponential moments for disk counting statistics at the hard edge of random normal matrices. J. Spectr. Theory 13 (2023), no. 3, pp. 841–902

DOI 10.4171/JST/474