Limit Theorem for the Eigenvalues of the Sample Covariance Matrix when the Underlying Distribution is Isotropic

In this paper, the authors show that the spectral distribution of the sample covariance matrix has a limit when the underlying distribution is isotropic, and the dimension p of this distribution and the sample size n both tend to infinity but p/n → y (0 < y < 1).