Directional bias and random sign disorder in SSH and ladder non-Hermitian matrices create loops of delocalized eigenstates whose contours are predicted by Lyapunov exponents of random transfer matrices.
Gener- alized exceptional points in nonlinear and stochastic dy- namics.Physical Review Research, 7(4):043157
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Banded non-Hermitian random matrices, neural networks, and eigenvalue degeneracies
Directional bias and random sign disorder in SSH and ladder non-Hermitian matrices create loops of delocalized eigenstates whose contours are predicted by Lyapunov exponents of random transfer matrices.