Let
be (possibly complex) eigenvalues of a set of random
real matrices with entries independent and taken from
a standard normal distribution. Then
as ,
is uniformly distributed on the unit disk in the complex plane. For small , the distribution shows a concentration along the real
line accompanied by a slight paucity above and below (with interesting embedded
structure). However, as , the concentration about the line disappears and
the distribution becomes truly uniform.
Bai, Z. D. "Circular Law." Ann. Prob.25, 494-529, 1997.Bai, Z. D. and Yin, Y. Q. "Limiting Behavior
of the Norm Products of Random Matrices and Two Problems of Geman-Hwang." Probab.
Theory Related Fields73, 555-569, 1986.Edelman, A. and Kostlan,
E. "How Many Zeros of a Random Polynomial are Real?" Bull. Amer. Math.
Soc.32, 1-37, 1995.Edelman, A. "The Probability that
a Random Real Gaussian Matrix has Real Eigenvalues, Related Distributions, and the Circular
Law." J. Multivariate Anal.60, 203-232, 1997.Geman,
S. "The Spectral Radius of Large Random Matrices." Ann. Probab.14,
1318-1328, 1986.Girko, V. L. "Circular Law." Theory
Probab. Appl.29, 694-706, 1984.Girko, V. L. Theory
of Random Determinants. Boston, MA: Kluwer, 1990.Mehta, M. L.
Random
Matrices, 3rd ed. New York: Academic Press, 2004.