By using the method of orthogonal polynomials, we analyze the statistical properties of complex eigenvalues of random matrices describing a crossover from Hermitian matrices characterized by the Wigner-Dyson statistics of real eigenvalues to strongly non-Hermitian ones whose complex eigenvalues were studied by Ginibre. Two-point statistical measures [as, e.g., spectral form factor, number variance, and small distance behavior of the nearest neighbor distance distribution $p(s)$] are studied in more detail. In particular, we found that the latter function may exhibit unusual behavior p(s)∝s5/2 for some parameter values.
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Fyodorov et al. (1997) studied this question.
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