English

Gradual eigenvector ergodization in coupled Ginibre matrices

Mathematical Physics 2026-04-28 v1 Disordered Systems and Neural Networks math.MP Probability

Abstract

Non-Hermitian random matrices provide a useful framework for understanding universal characteristics of dissipative quantum chaotic systems with loss or gain. We consider a model of two such system represented by two independent N×NN\times N complex Ginibre matrices interacting via a deterministic matrix c1Nc{\bf 1}_N, where cc is the complex coupling parameter whose magnitude c|c| controls the interaction strength. We characterize quantitatively how the eigenvectors of the whole system, initially localized in one of the individual subsystems for c=0|c|=0, eventually spread over the full system with growing interaction strength. The resulting asymptotic formula describing such spread in the limit NN\to \infty is very explicit and provides a full picture of the gradual ergodization of eigenvectors as a function of the coupling parameter c|c| in the whole transition regime. As a by-product of our method we also compute the mean eigenvalue density for our model at the origin of the spectral bulk z=0z=0 in the fully ergodic regime, when the coupling is scaled with the matrix size as c=Nc~c=\sqrt{N}\tilde{c}. We find that as NN\to \infty the limiting density at the origin vanishes beyond the critical value c~=1|\tilde{c}|=1, signalling of a split of the density support in the complex plane into two disjoint domains.

Keywords

Cite

@article{arxiv.2604.23708,
  title  = {Gradual eigenvector ergodization in coupled Ginibre matrices},
  author = {Margherita Disertori and Yan V. Fyodorov},
  journal= {arXiv preprint arXiv:2604.23708},
  year   = {2026}
}

Comments

24 pages, 1 figure

R2 v1 2026-07-01T12:35:46.519Z