The Probability that a Random Real Gaussian Matrix haskReal Eigenvalues, Related Distributions, and the Circular Law

@article{Edelman1997ThePT,
  title={The Probability that a Random Real Gaussian Matrix haskReal Eigenvalues, Related Distributions, and the Circular Law},
  author={Alan Edelman},
  journal={Journal of Multivariate Analysis},
  year={1997},
  volume={60},
  pages={203-232}
}
  • A. Edelman
  • Published 1 February 1997
  • Mathematics
  • Journal of Multivariate Analysis
LetAbe annbynmatrix whose elements are independent random variables with standard normal distributions. Girko's (more general) circular law states that the distribution of appropriately normalized eigenvalues is asymptotically uniform in the unit disk in the complex plane. We derive the exact expected empirical spectral distribution of the complex eigenvalues for finiten, from which convergence in the expected distribution to the circular law for normally distributed matrices may be derived… 
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