English

Three-Parametric Marcenko-Pastur Density

Probability 2021-07-06 v3 Statistical Mechanics Mathematical Physics math.MP

Abstract

The complex Wishart ensemble is the statistical ensemble of M×NM \times N complex random matrices with MNM \geq N such that the real and imaginary parts of each element are given by independent standard normal variables. The Marcenko--Pastur (MP) density ρ(x;r),x0\rho(x; r), x \geq 0 describes the distribution for squares of the singular values of the random matrices in this ensemble in the scaling limit NN \to \infty, MM \to \infty with a fixed rectangularity r=N/M(0,1]r=N/M \in (0, 1]. The dynamical extension of the squared-singular-value distribution is realized by the noncolliding squared Bessel process, and its hydrodynamic limit provides the two-parametric MP density ρ(x;r,t)\rho(x; r, t) with time t0t \geq 0, whose initial distribution is δ(x)\delta(x). Recently, Blaizot, Nowak, and Warchol studied the time-dependent complex Wishart ensemble with an external source and introduced the three-parametric MP density ρ(x;r,t,a)\rho(x; r, t, a) by analyzing the hydrodynamic limit of the process starting from δ(xa),a>0\delta(x-a), a > 0. In the present paper, we give useful expressions for ρ(x;r,t,a)\rho(x; r, t, a) and perform a systematic study of dynamic critical phenomena observed at the critical time tc(a)=at_{\rm c}(a)=a when r=1r=1. The universal behavior in the long-term limit tt \to \infty is also reported. It is expected that the present system having the three-parametric MP density provides a mean-field model for QCD showing spontaneous chiral symmetry breaking.

Cite

@article{arxiv.1907.07413,
  title  = {Three-Parametric Marcenko-Pastur Density},
  author = {Taiki Endo and Makoto Katori},
  journal= {arXiv preprint arXiv:1907.07413},
  year   = {2021}
}

Comments

v3; 21 pages,5 figures