Sparse antagonistic random matrices with diagonal disorder and Jacobian structure show five spectral phases; the population dynamics algorithm underestimates spectral support under strong disorder.
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cond-mat.dis-nn 2years
2026 2verdicts
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Non-Hermitian random matrices with long-range correlations show α-dependent breakdown of the circular law, with spectral radius growing as a power law for α<1 and self-similar density at α=1.
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Spectral properties and phase diagrams of sparse antagonistic random matrices with diagonal disorder and Jacobian-like structure
Sparse antagonistic random matrices with diagonal disorder and Jacobian structure show five spectral phases; the population dynamics algorithm underestimates spectral support under strong disorder.
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Spectral properties of non-Hermitian real random matrices with long-range correlations
Non-Hermitian random matrices with long-range correlations show α-dependent breakdown of the circular law, with spectral radius growing as a power law for α<1 and self-similar density at α=1.