It is shown how pseudo-Hermiticity, a necessary condition satisfied by operators of PT symmetric systems can be introduced in the three Gaussian classes of random matrix theory. The model describes transitions from real eigenvalues to a situation in which, apart from a residual number, the eigenvalues are complex conjugate.

In this paper, we extend previous studies conducted by the authors in a family of pseudo-Hermitian Gaussian matrices. Namely, we further the studies of the two pseudo-Hermitian random matrix cases previously considered, the first of a matrix of order N with two interacting blocks of sizes M and N − M and the second of a chessboard-like structured matrix of order N whose subdiagonals alternate between Hermiticity and pseudo-Hermiticity. Following an average characteristic polynomial approach, we obtain sequences of polynomials whose roots describe the average value of the polynomials of the matrices of the family at hand, for each case considered. We also present numerical results regarding the statistical behavior of the average characteristic polynomial, and contrast that to the spectral behavior of sample matrices of this family.

It is shown that the ensemble of pseudo-Hermitian Gaussian matrices recently introduced gives rise in a certain limit to an ensemble of anti-Hermitian matrices whose eigenvalues have properties directly related to those of the chiral ensemble of random matrices.

We investigate the statistical properties of eigenvalues of pseudo-Hermitian random matrices whose eigenvalues are real or complex conjugate. It is shown that when the spectrum splits into separated sets of real and complex conjugate eigenvalues, the real ones show characteristics of an intermediate incomplete spectrum, that is, of a so-called thinned ensemble. On the other hand, the complex ones show repulsion compatible with cubic-order repulsion of non normal matrices for the real matrices, but higher order repulsion for the complex and quaternion matrices.

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