Distribution of the Diagonal Entries of the Resolvent of a Complex Ginibre Matrix
Pierre Bousseyroux, Jean-Philippe Bouchaud, and Marc Potters

TL;DR
This paper computes the exact distribution of diagonal entries of the resolvent matrix for non-Hermitian Ginibre matrices and explores their asymptotic behavior, revealing symmetries and proposing conjectures for general non-Hermitian matrices.
Contribution
It provides the first exact computation of diagonal resolvent entries for Ginibre matrices and introduces conjectures on their distribution symmetry under inversion.
Findings
Diagonal entries' distribution converges to a stable limit under inversion.
Tail behavior linked to eigenvector statistics.
Symmetry under inversion observed in the limit distribution.
Abstract
The study of eigenvalue distributions in random matrix theory is often conducted by analyzing the resolvent matrix . The normalized trace of the resolvent, known as the Stieltjes transform , converges to a limit as the matrix dimension grows, which provides the eigenvalue density in the large- limit. In the Hermitian case, the distribution of , now regarded as a random variable, is explicitly known when lies within the limiting spectrum, and it coincides with the distribution of any diagonal entry of . In this paper, we investigate what becomes of these results when is non-Hermitian. Our main result is the exact computation of the…
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Taxonomy
TopicsMatrix Theory and Algorithms
