Phase transition of eigenvalues in deformed Ginibre ensembles
Dang-Zheng Liu, Lu Zhang

TL;DR
This paper studies phase transitions in eigenvalue distributions of deformed Ginibre matrices, revealing new outlier behaviors and a novel class of edge statistics linked to the Jordan form of the deformation.
Contribution
It characterizes the eigenvalue phase transition and introduces a new class of determinantal point processes for the spectral edge in non-Hermitian random matrices.
Findings
Outlier eigenvalues depend on the Jordan form of the deformation.
New determinantal point processes describe eigenvalue statistics at the spectral edge.
Results extend to real quaternion Ginibre ensembles.
Abstract
Consider a random matrix of size as an additive deformation of the complex Ginibre ensemble under a deterministic matrix with a finite rank, independent of . When some eigenvalues of separate from the unit disk, outlier eigenvalues may appear asymptotically in the same locations, and their fluctuations exhibit surprising phenomena that highly depend on the Jordan canonical form of . These findings are largely due to Benaych-Georges and Rochet \cite{BR}, Bordenave and Capitaine \cite{BC16}, and Tao \cite{Ta13}. When all eigenvalues of lie inside the unit disk, we prove that local eigenvalue statistics at the spectral edge form a new class of determinantal point processes, for which correlation kernels are characterized in terms of the repeated erfc integrals. This thus completes a non-Hermitian analogue of the BBP phase transition in Random Matrix Theory.…
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Advanced Algebra and Geometry
