Error Bounds for Koopman-Based Stochastic Dynamics Modeling

This research article from ArXiv likely focuses on improving the accuracy of dynamic mode decomposition methods for stochastic systems. The work probably contributes to the field by providing rigorous error bounds, which is crucial for the reliability of Koopman-based models.

• •Focuses on error bounds in the context of Koopman operator theory.
• •Applies kernel methods for extended dynamic mode decomposition.
• •The research is published on ArXiv, signifying pre-print status and potential for future peer review.