Sharp Spectral Rates for Koopman Operator Learning

Neural Information Processing Systems 

Non-linear dynamical systems can be handily described by the associated Koopman operator, whose action evolves every observable of the system forward in time. Learning the Koopman operator and its spectral decomposition from data is enabled by a number of algorithms.