Abstract
The eigenspectrum of the Koopman operator enables the decomposition of nonlinear dynamics into a sum of nonlinear functions of the state space with purely exponential and sinusoidal time dependence. For a limited number of dynamical systems, it is possible to find these Koopman eigenfunctions exactly and analytically. Here, this is done for the Korteweg–de Vries equation on a periodic interval using the periodic inverse scattering transform and some concepts of algebraic geometry. To the authors’ knowledge, this is the first complete Koopman analysis of a partial differential equation, which does not have a trivial global attractor. The results are shown to match the frequencies computed by the data-driven method of dynamic mode decomposition (DMD). We demonstrate that in general, DMD gives a large number of eigenvalues near the imaginary axis and show how these should be interpreted in this setting.
Original language | English |
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Article number | 043102 |
Number of pages | 10 |
Journal | Chaos: An Interdisciplinary Journal of Nonlinear Science |
Volume | 33 |
Issue number | 4 |
DOIs | |
Publication status | Published - 3 Apr 2023 |
Keywords
- Non linear dynamics
- Algorithms and data structure
- Computational methods
- Operator theory
- Partial differential equations
- Riemann surfaces
- Algebraic geometry
- Inverse scattering
- Korteweg-de Vries equation
ASJC Scopus subject areas
- General Physics and Astronomy
- Applied Mathematics
- Statistical and Nonlinear Physics
- Mathematical Physics