Deviation and moderate deviation for extremal eigenvalues of large Chiral non-Hermitian random matrices
Yutao Ma, Siyu Wang

TL;DR
This paper investigates the probabilities of deviations for the largest and smallest eigenvalues' magnitudes in large chiral non-Hermitian random matrices, providing new probabilistic bounds for their spectral radii.
Contribution
It establishes deviation and moderate deviation probabilities for extremal eigenvalues of large chiral non-Hermitian random matrices, a novel probabilistic analysis in this context.
Findings
Derived deviation probabilities for spectral radius.
Established moderate deviation bounds.
Analyzed extremal eigenvalue behavior in large matrices.
Abstract
Consider the chiral non-Hermitian random matrix ensemble with parameters and and let be its eigenvalues with positive -coordinate. In this paper, we establish deviation probabilities and moderate deviation probabilities for the spectral radius as well as
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Algebra and Geometry · Quantum chaos and dynamical systems
