On the rightmost eigenvalue of non-Hermitian random matrices
Giorgio Cipolloni, L\'aszl\'o Erd\H{o}s, Dominik Schr\"oder, Yuanyuan, Xu

TL;DR
This paper derives a precise asymptotic expansion for the rightmost eigenvalue of large non-Hermitian random matrices with i.i.d. complex entries, including an optimal error estimate, demonstrating universality of all terms.
Contribution
It provides the first detailed three-term asymptotic expansion with optimal error bounds for the rightmost eigenvalue of non-Hermitian random matrices, establishing universality.
Findings
Three-term asymptotic expansion derived
Optimal error estimate established
Universality of all expansion terms proven
Abstract
We establish a precise three-term asymptotic expansion, with an optimal estimate of the error term, for the rightmost eigenvalue of an random matrix with independent identically distributed complex entries as tends to infinity. All terms in the expansion are universal.
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Algebra and Geometry · Spectral Theory in Mathematical Physics
