  This work provides closed-form solutions and minimum achievable errors for a
large class of low-rank approximation problems in Hilbert spaces. The proposed
theorem generalizes to the case of bounded linear operators the previous
results obtained in the finite dimensional case for the Frobenius norm. The
theorem provides the basis for the design of tractable algorithms for kernel or
continuous DMD.
