Re-projecting the full system after every time step before collecting data lets operator inference recover, with finite data, exactly the same reduced models that intrusive Galerkin projection produces.
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Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference
Re-projecting the full system after every time step before collecting data lets operator inference recover, with finite data, exactly the same reduced models that intrusive Galerkin projection produces.