“…This phenomenon has already been well understood in the Hermitian case. It was shown under several hypotheses in [7][8][9][10][13][14][15]17,24,25,27] that for a large random Hermitian matrix, if the strength of the added perturbation is above a certain threshold, then the extreme eigenvalues of the perturbed matrix deviate at a macroscopic distance from the bulk (such eigenvalues are usually called outliers) and have well understood fluctuations, otherwise they stick to the bulk and fluctuate as those of the non-perturbated matrix (this phenomenon is called the BBP phase transition, named after the authors of [3], who first brought it to light for empirical covariance matrices). Also, Tao, O'Rourke, Renfrew, Bordenave and Capitaine studied a non-Hermitian case: in [11,26,30] they considered spiked i.i.d.…”