English

Non-Gaussian Non-Hermitean Random Matrix Theory: phase transitions and addition formalism

Disordered Systems and Neural Networks 2009-10-30 v2 Mesoscale and Nanoscale Physics High Energy Physics - Theory

Abstract

We apply the recently introduced method of hermitization to study in the large NN limit non-hermitean random matrices that are drawn from a large class of circularly symmetric non-Gaussian probability distributions, thus extending the recent Gaussian non-hermitean literature. We develop the general formalism for calculating the Green's function and averaged density of eigenvalues, which may be thought of as the non-hermitean analog of the method due to Br\`ezin, Itzykson, Parisi and Zuber for analyzing hermitean non-Gaussian random matrices. We obtain an explicit algebraic equation for the integrated density of eigenvalues. A somewhat surprising result of that equation is that the shape of the eigenvalue distribution in the complex plane is either a disk or an annulus. As a concrete example, we analyze the quartic ensemble and study the phase transition from a disk shaped eigenvalue distribution to an annular distribution. Finally, we apply the method of hermitization to develop the addition formalism for free non-hermitean random variables. We use this formalism to state and prove a non-abelian non-hermitean version of the central limit theorem.

Keywords

Cite

@article{arxiv.cond-mat/9704191,
  title  = {Non-Gaussian Non-Hermitean Random Matrix Theory: phase transitions and addition formalism},
  author = {J. Feinberg and A. Zee},
  journal= {arXiv preprint arXiv:cond-mat/9704191},
  year   = {2009}
}

Comments

40 pages, no figures, LaTex. Section 5 has been corrected