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Critical Erd{\H o}s-R\'enyi digraph: all eigenvectors away from zero are delocalized

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abstract

We consider the adjacency matrix of the directed Erd{\H o}s-R\'enyi graph. As long as the expected degree is larger than the logarithm of the number of vertices, the graph is connected, we show that all eigenvectors are completely delocalized. Below this critical scale, we prove eigenvector delocalization if the corresponding eigenvalue is away from zero. This contrasts the \emph{undirected} or Hermitian setting, where large eigenvalues have localized eigenvectors [arXiv:2005.14180]. Our results also hold for sparse random matrices with independent entries, which can be viewed as weighted Erd{\H o}s-R\'enyi digraphs.

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math.PR 1

years

2026 1

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CONDITIONAL 1

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Spectrum of Directed Inhomogeneous Random Graphs

math.PR · 2026-07-09 · conditional · novelty 7.0

The spectrum of directed inhomogeneous random graphs follows a non-homogeneous circular law, with finite-rank outliers exhibiting explicit Gaussian fluctuations at scale sqrt(s_n/n).

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  • Spectrum of Directed Inhomogeneous Random Graphs math.PR · 2026-07-09 · conditional · none · ref 2 · internal anchor

    The spectrum of directed inhomogeneous random graphs follows a non-homogeneous circular law, with finite-rank outliers exhibiting explicit Gaussian fluctuations at scale sqrt(s_n/n).