The Adaptive Spectral Koopman Method for Dynamical Systems
Bian Li, Yi-An Ma, J. Nathan Kutz, Xiu Yang

TL;DR
The paper introduces the adaptive spectral Koopman (ASK) method, a mesh-free numerical approach that uses spectral-collocation and Koopman operator properties to accurately solve nonlinear autonomous dynamical systems.
Contribution
It presents a novel adaptive spectral Koopman method combining spectral-collocation and Koopman operator theory for solving nonlinear dynamical systems.
Findings
High accuracy demonstrated on 1D, 2D, and 3D systems
Mesh-free approach offers flexibility over traditional methods
Effective eigenpair approximation via spectral methods
Abstract
Dynamical systems have a wide range of applications in mechanics, electrical engineering, chemistry, and so on. In this work, we propose the adaptive spectral Koopman (ASK) method to solve nonlinear autonomous dynamical systems. This novel numerical method leverages the spectral-collocation (i.e., pseudo-spectral) method and properties of the Koopman operator to obtain the solution of a dynamical system. Specifically, this solution is represented as a linear combination of the multiplication of Koopman operator's eigenfunctions and eigenvalues, and these eigenpairs are approximated by the spectral method. Unlike conventional time evolution algorithms such as Euler's scheme and the Runge-Kutta scheme, ASK is mesh-free, and hence is more flexible when evaluating the solution. Numerical experiments demonstrate high accuracy of ASK for solving one-, two- and three-dimensional dynamical…
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Taxonomy
TopicsModel Reduction and Neural Networks · Lattice Boltzmann Simulation Studies · Fractional Differential Equations Solutions
