Hyperbolic Covariant Coherent Structures in two dimensional flows

TL;DR

This paper introduces Hyperbolic Covariant Coherent Structures (HCCSs) based on Covariant Lyapunov Vectors to better identify hyperbolic patterns in two-dimensional flows, providing more detailed directional information than traditional methods.

Contribution

The paper proposes a novel method using CLVs to define HCCSs, offering improved detection of flow structures and barriers in 2D fluid dynamics compared to existing techniques.

Findings

HCCSs effectively identify flow barriers in various flow examples.

HCCSs provide more detailed directional information than traditional Lyapunov-based methods.

Comparison shows HCCSs capture asymptotic behavior of flow structures.

Abstract

A new method to describe hyperbolic patterns in two dimensional flows is proposed. The method is based on the Covariant Lyapunov Vectors (CLVs), which have the properties to be covariant with the dynamics, and thus being mapped by the tangent linear operator into another CLVs basis, they are norm independent, invariant under time reversal and can be not orthonormal. CLVs can thus give a more detailed information on the expansion and contraction directions of the flow than the Lyapunov Vector bases, that are instead always orthogonal. We suggest a definition of Hyperbolic Covariant Coherent Structures (HCCSs), that can be defined on the scalar field representing the angle between the CLVs. HCCSs can be defined for every time instant and could be useful to understand the long term behaviour of particle tracers. We consider three examples: a simple autonomous Hamiltonian system, as well as the non-autonomous "double gyre" and Bickley jet, to see how well the angle is able to describe particular patterns and barriers. We compare the results from the HCCSs with other coherent patterns defined on finite time by the Finite Time Lyapunov Exponents (FTLEs), to see how the behaviour of these structures change asymptotically.