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eess.SY2026
Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors
Dhruv Shah, Jorge Cortes
Data-driven approximations of the infinite-dimensional Koopman operator rely on finite-dimensional projections, where the predictive accuracy of the resulting models hinges heavily…
eess.SY2026
A Unified Algebraic Framework for Subspace Pruning in Koopman Operator Approximation via Principal Vectors
Dhruv Shah, Jorge Cortes
Finite-dimensional approximations of the Koopman operator rely critically on identifying nearly invariant subspaces. This invariance proximity can be rigorously quantified via the…