The kernel perspective on dynamic mode decomposition
Not on the map. Why?
Abstract (arXiv)
This manuscript revisits theoretical assumptions concerning dynamic mode decomposition (DMD) of Koopman operators, including the existence of lattices of eigenfunctions, common eigenfunctions between Koopman operators, and boundedness and compactness of Koopman operators. Counterexamples that illustrate restrictiveness of the assumptions are provided for each of the assumptions. In particular, this manuscript proves that the native reproducing kernel Hilbert space (RKHS) of the Gaussian RBF kernel function only supports bounded Koopman operators if the dynamics are affine. In addition, a new framework for DMD, that requires only densely defined Koopman operators over RKHSs is introduced, and its effectiveness is demonstrated through numerical examples.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 4 of its 34 references that are in the map. First posted on arXiv 31 May 2021.
Builds on
4 of 34 references.
References · 4
- 2021Modern Koopman Theory for Dynamical Systemscited by 276
- 2017Learning Koopman Invariant Subspaces for Dynamic Mode Decompositioncited by 158
- 2017On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operatorcited by 73
- 2019Composition operators on reproducing kernel Hilbert spaces with analytic positive definite functionscited by 6
Built on by
Citing papers per year: 2025: 1; 2026: 2.
3 papers.
- 2026Koopman operator theory: fundamentals, control, and applications2 Jul 2026
- 2026Integral Formulation of QENDy for Robust Nonlinear System Identification10 Jun 2026
- 2025Fast dynamical similarity analysis28 Nov 2025