Enhancing HAVOK: Truncation Bounds, Data Reduction, and Rare Event Prediction
This work advances the HAVOK framework for analyzing chaotic dynamical systems by introducing a principled rank selection method, reducing data requirements, and leveraging singular vectors to predict rare events like lobe switching in the Lorenz attractor.