Abstract

This work serves as a bridge between two approaches to analysis of dynamical systems: the local, geometric analysis, and the global operator theoretic Koopman analysis. We explicitly construct vector fields where the instantaneous Lyapunov exponent field is a Koopman eigenfunction. Restricting ourselves to polynomial vector fields to make this construction easier, we find that such vector fields do exist, and we explore whether such vector fields have a special structure, thus making a link between the geometric theory and the transfer operator theory.

Highlights

  • SignificanceTwo approaches to analyzing dynamic systems are the geometric approach and operator theoretic approach, exemplified in recent years by invariant manifolds and Koopman operators

  • Electrical & Computer Engineering & C3 S2, The Clarkson Center for Complex Systems Science, Clarkson University, Potsdam, NY 13699, USA

  • The geometric invariant manifold approach is closely related to the instantaneous version of the finite-time Lyapunov exponent (FTLE) field

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Summary

Significance

Two approaches to analyzing dynamic systems are the geometric approach and operator theoretic approach, exemplified in recent years by invariant manifolds and Koopman operators. The geometric invariant manifold approach is closely related to the instantaneous version of the finite-time Lyapunov exponent (FTLE) field. The very different, spectral and measure-based operator theoretic approach of evolution operators, known as “Koopmanism” involves Koopman eigenfunctions (KEIGs). We ask a simple question, “Is the FTLE field a KEIG?” The answer is: in general, no. This motivates the explicit construction of vector fields where the answer is yes, in the sense that the FTLE field in the infinitesimal time limit, i.e., the instantaneous. Restricting ourselves to polynomial vector fields to make this construction easier, we find that such vector fields do exist, and we explore whether such vector fields have a special structure

Instantaneous Lyapunov Exponent Analysis
Instantaneous Attraction and Repulsion Rates
Finite-Time Lyapunov Exponent
One-Dimensional Vector Fields
Two-Dimensional Non-Linear Saddle Flow
General Two-Dimensional Vector Fields
Polynomial Vector Fields
Quadratic Vector Fields
Cubic Vector Fields
Cubic Vector Field Example
Cubic Vector Field Transformation to Simplify
Properties of KEIGs of 2-Dimensional Cubic Vector Fields
A Family of Polynomial Vector Fields with a KEIG Attraction Rate
Conclusions
Full Text
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