Edge Behavior of Higher Complex-Dimensional Determinantal Point Processes
L. D. Molag

TL;DR
This paper demonstrates that the universal edge behavior characterized by the Faddeeva plasma kernel, previously observed in complex normal matrix models, also appears in higher-dimensional determinantal point processes with elliptic confinement.
Contribution
It extends the universality of edge behavior and the Faddeeva plasma kernel to higher-dimensional determinantal point processes with elliptic confinement.
Findings
Faddeeva plasma kernel appears in higher dimensions
Edge behavior is governed by a complementary error function
Results suggest possible edge universality in $\
Abstract
As recently proved in generality by Hedenmalm and Wennman, it is a universal behavior of complex random normal matrix models that one finds a complementary error function behavior at the boundary (also called edge) of the droplet as the matrix size increases. Such behavior is seen both in the density of the eigenvalues, and the correlation kernel, where the Faddeeva plasma kernel emerges. These results are neatly expressed with the help of the outward unit normal vector on the edge. We prove that such universal behaviors transcend this class of random normal matrices, being also valid in a specific ``elliptic'' class of determinantal point processes defined on , which are higher dimensional generalizations of the determinantal point processes describing the eigenvalues of the complex Ginibre ensemble and the complex elliptic Ginibre ensemble. These models describe a system…
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Advanced Combinatorial Mathematics
