Point Vortices: Finding Periodic Orbits and their Topological Classification
Spencer A. Smith

TL;DR
This paper develops algorithms to find, classify, and analyze periodic orbits in the point vortex model of fluid dynamics, revealing the interplay between topology and geometry in these solutions.
Contribution
It introduces novel algorithms for identifying and classifying periodic orbits in the point vortex system, including topological classification based on braid groups.
Findings
Large dataset of periodic orbits generated
Topological classification scheme developed
Patterns in orbit distribution in phase space observed
Abstract
The motion of point vortices constitutes an especially simple class of solutions to Euler's equation for two dimensional, inviscid, incompressible, and irrotational fluids. In addition to their intrinsic mathematical importance, these solutions are also physically relevant. Rotating superfluid helium can support rectilinear quantized line vortices, which in certain regimes are accurately modeled by point vortices. Depending on the number of vortices, it is possible to have either regular integrable motion or chaotic motion. Thus, the point vortex model is one of the simplest and most tractable fluid models which exhibits some of the attributes of weak turbulence. The primary aim of this work is to find and classify periodic orbits, a special class of solutions to the point vortex problem. To achieve this goal, we introduce a number of algorithms: Lie transforms which ensure that the…
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Taxonomy
TopicsQuantum chaos and dynamical systems · Scientific Research and Discoveries · Astro and Planetary Science
