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From the 1 of 12 linked papers with an AI index.

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20242026
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12 papers

math-ph2026

On a Rosenzweig-Porter-type model

Giorgio Cipolloni, László Erdős, Joscha Henheik

The paper analyzes a general Rosenzweig‑Porter random matrix model, studying how eigenvector localization and the eigenstate thermalisation hypothesis evolve as the coupling streng…

math.PR2026

Mesoscopic eigenvalue statistics for correlated random matrices

László Erdős, Jaehun Lee

We prove a mesoscopic central limit theorem for linear eigenvalue statistics of correlated Hermitian random matrices. The class considered here includes Wigner and Wigner-type matr…

math.PR2026

The non-Hermitian minor process

Giorgio Cipolloni, László Erdős, Oleksii Kolupaiev

We show that the log-determinant of leading principal minors of large non-Hermitian random matrices converges in distribution to a 2+1 dimensional Gaussian field, which is logarith…

math.PR2026

Eigenvector decorrelation for random matrices

Giorgio Cipolloni, László Erdős, Joscha Henheik +1

We study the sensitivity of the eigenvectors of random matrices, showing that even small perturbations make the eigenvectors almost orthogonal. More precisely, we consider two defo…

math.PR2026

The eigenvalues of i.i.d. matrices are hyperuniform

Giorgio Cipolloni, László Erdős, Oleksii Kolupaiev

We prove that the point process of the eigenvalues of real or complex non-Hermitian matrices with independent, identically distributed entries is hyperuniform: the variance of…

math.PR2026

Universality of extremal eigenvalues of large random matrices

Giorgio Cipolloni, László Erdős, Yuanyuan Xu

We prove that the spectral radius of a large random matrix with independent, identically distributed complex entries follows the Gumbel law irrespective of the distribution of…