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.
On the distribution of the roots of certain symmetric matrices.Annals of Mathematics, 67(2):325–327
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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.