English

Local Eigenvalue Density for General MANOVA Matrices

Probability 2015-06-05 v3

Abstract

We consider random n\times n matrices of the form (XX*+YY*)^{-1/2}YY*(XX*+YY*)^{-1/2}, where X and Y have independent entries with zero mean and variance one. These matrices are the natural generalization of the Gaussian case, which are known as MANOVA matrices and which have joint eigenvalue density given by the third classical ensemble, the Jacobi ensemble. We show that, away from the spectral edge, the eigenvalue density converges to the limiting density of the Jacobi ensemble even on the shortest possible scales of order 1/n (up to \log n factors). This result is the analogue of the local Wigner semicircle law and the local Marchenko-Pastur law for general MANOVA matrices.

Keywords

Cite

@article{arxiv.1207.0031,
  title  = {Local Eigenvalue Density for General MANOVA Matrices},
  author = {Laszlo Erdos and Brendan Farrell},
  journal= {arXiv preprint arXiv:1207.0031},
  year   = {2015}
}

Comments

Several small changes made to the text

R2 v1 2026-06-21T21:28:24.033Z