On the Equivalence of Koopman Eigenfunctions and Commuting Symmetries

The Koopman operator framework offers a way to represent a nonlinear system as a linear one. The key to this simplification lies in the identification of eigenfunctions. While various data-driven algorithms have been developed for this problem, a theoretical characterization of Koopman eigenfunctions from geometric properties of the flow is still missing. This paper provides such a characterization by establishing an equivalence between a set of Koopman eigenfunctions and a set of commuting symmetries -- both assumed to span the tangent spaces at every point on a simply connected open set. Based on this equivalence, we derive an explicit formula for the principal Koopman eigenfunctions and prove its uniform convergence on the region of attraction of a locally asymptotically stable equilibrium point, thereby offering a constructive method for computing Koopman eigenfunctions.

Publication Details

Journal
ArXiv.org
Published
2025-08-04
Primary Topic
Model Reduction and Neural Networks
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article
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article

On the Equivalence of Koopman Eigenfunctions and Commuting Symmetries

ArXiv.org
Model Reduction and Neural Networks
article

On the Equivalence of Koopman Eigenfunctions and Commuting Symmetries

article en

Abstract

The Koopman operator framework offers a way to represent a nonlinear system as a linear one. The key to this simplification lies in the identification of eigenfunctions. While various data-driven algorithms have been developed for this problem, a theoretical characterization of Koopman eigenfunctions from geometric properties of the flow is still missing. This paper provides such a characterization by establishing an equivalence between a set of Koopman eigenfunctions and a set of commuting symmetries -- both assumed to span the tangent spaces at every point on a simply connected open set. Based on this equivalence, we derive an explicit formula for the principal Koopman eigenfunctions and prove its uniform convergence on the region of attraction of a locally asymptotically stable equilibrium point, thereby offering a constructive method for computing Koopman eigenfunctions.

ArXiv.org
Openalex Percentile: Top 52%
Model Reduction and Neural Networks
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On the Equivalence of Koopman Eigenfunctions and Commuting Symmetries · ArXiv.org (2025) | TGRS Research Map | TGRS