This Demonstration shows that the eigenvalues of an random matrix with independent and identically distributed (i.i.d.) random entries, all with zero mean and unit variance, converge to the circular law in the limit as . Thus the limiting spectral distribution is the uniform distribution over the unit disk in the complex plane. This behavior is universal and does not depend on the choice of the probability distribution for the law of entries (see [1] and its references).

Vary the "matrix size" to explore the convergence of the computed eigenvalues over the unit disk in the complex plane. You can set the law of the matrix entries by choosing from the normal distribution, the uniform distribution and a custom defined discrete distribution, all with mean zero and variance equal to one (for details concerning the choice of distributions see [2]). The computed eigenvalues (or the matrix entries) are scaled by a factor where is the matrix size. The checkbox control "show unit disk" can highlight the convergence over the unit complex disk.