Determinantal polynomial wave functions induced by random matrices
Anthony Mays, Anita K. Ponsaing, David M. Paganin

TL;DR
This paper introduces a novel model of vortex dynamics using determinantal polynomial wave functions derived from random matrices, incorporating quaternionic structures to describe complex topological defect interactions.
Contribution
It develops a new framework linking random matrix theory with vortex dynamics, including anti-vortices and topological defects, and explores their interactions and topological reactions.
Findings
Model captures vortex-antivortex interactions and defect reactions.
Quaternionic structures enable interpretation of vortex processes as quaternionic states.
Identifies a time-energy uncertainty principle in vortex dynamics.
Abstract
Random-matrix eigenvalues have a well-known interpretation as a gas of like-charge particles. We make use of this to introduce a model of vortex dynamics by defining a time-dependent wave function as the characteristic polynomial of a random matrix with a parameterized deformation, the zeros of which form a gas of interacting vortices in the phase. By the introduction of a quaternionic structure, these systems are generalized to include anti-vortices and non-vortical topological defects: phase maxima, phase minima and phase saddles. The commutative group structure for complexes of such defects generates a hierarchy, which undergo topologically-allowed reactions. Several special cases, including defect-line bubbles and knots, are discussed from both an analytical and computational perspective. Finally, we return to the quaternion structures to provide an interpretation of two-vortex…
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