Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors
Researchers have developed a new method for Koopman subspace pruning within Reproducing Kernel Hilbert Spaces (RKHS). This technique enhances model invariance by systematically discarding geometrically misaligned directions. The approach includes an exact computational routine and a scaled version using randomized Nystrom approximations, leading to the Kernel-SPV and Approximate Kernel-SPV algorithms. AI