Renormalizing Rectangles and Other Topics in Random Matrix Theory

TL;DR

This paper investigates the eigenvalue distributions of large random Hermitian matrices composed of rectangular blocks, revealing how eigenvalues organize into separated lobes and how their behavior near edges transitions as the rectangularity ratio approaches one.

Contribution

It introduces new analytical insights into the eigenvalue distributions of block-structured random matrices, including the effects of rectangularity and the transition of edge oscillations from Airy to Bessel functions.

Findings

Eigenvalues form two symmetric lobes separated from zero.

Zero eigenvalues are kinematical and independent of randomness.

Edge oscillations transition from Airy to Bessel functions as rectangularity approaches one.

Abstract

We consider random Hermitian matrices made of complex or real $M\times N$ rectangular blocks, where the blocks are drawn from various ensembles. These matrices have $N$ pairs of opposite real nonvanishing eigenvalues, as well as $M-N$ zero eigenvalues (for $M>N$.) These zero eigenvalues are ``kinematical" in the sense that they are independent of randomness. We study the eigenvalue distribution of these matrices to leading order in the large $N,M$ limit, in which the ``rectangularity" $r={M\over N}$ is held fixed. We apply a variety of methods in our study. We study Gaussian ensembles by a simple diagrammatic method, by the Dyson gas approach, and by a generalization of the Kazakov method. These methods make use of the invariance of such ensembles under the action of symmetry groups. The more complicated Wigner ensemble, which does not enjoy such symmetry properties, is studied by large $N$ renormalization techniques. In addition to the kinematical $\delta$-function spike in the eigenvalue density which corresponds to zero eigenvalues, we find for both types of ensembles that if $|r-1|$ is held fixed as $N\rightarrow\infty$, the $N$ non-zero eigenvalues give rise to two separated lobes that are located symmetrically with respect to the origin. This separation arises because the non-zero eigenvalues are repelled macroscopically from the origin. Finally, we study the oscillatory behavior of the eigenvalue distribution near the endpoints of the lobes, a behavior governed by Airy functions. As $r\rightarrow 1$ the lobes come closer, and the Airy oscillatory behavior near the endpoints that are close to zero breaks down. We interpret this breakdown as a signal that $r\rightarrow 1$ drives a cross over to the oscillation governed by Bessel functions near the origin for matrices made of square blocks.