We consider the joint distribution of real and imaginary parts of eigenvalues of random matrices with independent entries with mean zero and unit variance. We prove the convergence of this distribution to the uniform distribution on the unit disc without assumptions on the existence of a density for the distribution of entries. We assume that the entries have a finite moment of order larger than two and consider the case of sparse matrices. The results are based on previous work of Bai, Rudelson and the authors extending those results to a larger class of sparse matrices.Comment: Published in at http://dx.doi.org/10.1214/09-AOP522 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org

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We consider powers of random matrices with independent entries. Let X ij , i, j ≥ 1, be independent complex random variables with E X ij = 0 and E |X ij | 2 = 1 and let X denote an n×n matrix with [X] ij = X ij , for 1 ≤ i, j ≤ n. Denote by s (m) 1