English

On the correlation functions of the characteristic polynomials of the sparse hermitian random matrices

Mathematical Physics 2016-03-29 v2 math.MP

Abstract

We consider asymptotics of the correlation functions of characteristic polynomials corresponding to random weighted G(n,pn)G(n, \frac{p}{n}) Erd{\H o}s -- R\'enyi graphs with Gaussian weights in the case of finite pp and also when pp \to \infty. It is shown that for finite pp the second correlation function demonstrates a kind of transition: when p<2p < 2 it factorizes in the limit nn \to \infty, while for p>2p > 2 there appears an interval (λ(p),λ(p))(-\lambda_*(p), \lambda_*(p)) such that for λ0(λ(p),λ(p))\lambda_0 \in (-\lambda_*(p), \lambda_*(p)) the second correlation function behaves like that for GUE, while for λ0\lambda_0 outside the interval the second correlation function is still factorized. For pp \to \infty there is also a threshold in the behavior of the second correlation function near λ0=±2\lambda_0 = \pm 2: for pn2/3p \ll n^{2/3} the second correlation function factorizes, whereas for pn2/3p \gg n^{2/3} it behaves like that for GUE. For any rate of pp \to \infty the asymptotics of correlation functions of any even order for λ0(2,2)\lambda_0 \in (-2, 2) coincide with that for GUE.

Keywords

Cite

@article{arxiv.1508.06623,
  title  = {On the correlation functions of the characteristic polynomials of the sparse hermitian random matrices},
  author = {Ievgenii Afanasiev},
  journal= {arXiv preprint arXiv:1508.06623},
  year   = {2016}
}

Comments

32 pages; moved subsection on Grassmann variables to Appendix, replaced the proof of lemma 1 by more elegant one, added some references, corrected typos