Polar rotation angle identifies elliptic islands in unsteady dynamical systems
Mohammad Farazmand, George Haller

TL;DR
This paper introduces a new diagnostic method using polar rotation angles derived from flow gradients to identify elliptic islands in unsteady dynamical systems, providing detailed and objective insights into vortex structures.
Contribution
It presents explicit formulas for the polar rotation angle and demonstrates its effectiveness in revealing elliptic regions in 2D and 3D systems, advancing vortex detection techniques.
Findings
Closed level sets of PRA reveal elliptic islands in detail.
Singular level sets of PRA identify island centers.
Method is objective and frame-invariant in 2D systems.
Abstract
We propose rotation inferred from the polar decomposition of the flow gradient as a diagnostic for elliptic (or vortex-type) invariant regions in non-autonomous dynamical systems. We consider here two- and three-dimensional systems, in which polar rotation can be characterized by a single angle. For this polar rotation angle (PRA), we derive explicit formulas using the singular values and vectors of the flow gradient. We find that closed level sets of the PRA reveal elliptic islands in great detail, and singular level sets of the PRA uncover centers of such islands. Both features turn out to be objective (frame-invariant) for two-dimensional systems. We illustrate the diagnostic power of PRA for elliptic structures on several examples.
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