Determine the source of effectiveness in time-delay-based forced-DMD methods

Determine whether the effectiveness of the forced-linear methods of Brunton et al., Pan et al., and Khodkar et al. is attributable to time-delay embedding, the forced linear models that they construct, or the combination of both, and determine whether those methods would be equally effective when applied to the original coordinates rather than time-delay observables.

Background

The paper discusses forced-linear approaches such as HAVOK-inspired methods and the methods of Pan et al. and Khodkar et al., which commonly rely on time-delay embeddings. Time-delay coordinates can produce operators whose connection to the original physical coordinates is difficult to interpret. The authors therefore identify an unresolved issue concerning whether the observed effectiveness comes from the embedding, the forced representation, or their combination, and whether the methods retain their effectiveness without delay coordinates.

References

Moreover, it is unclear whether the effectiveness of these methods is due to the use of time delay embedding, the forced linear model they build or the combination of the two. That is, it is not clear if they would be equally effective using the original coordinates.

— Forced-Term Modeling in the Koopman Framework for Linear Operator Learning in Nonlinear Dynamical Systems  (2609.35389 - Climaco et al., 28 Sep 2026) in Section 2, Related work