You can generate many more Koopman eigenfunctions from a few computed ones by treating them as an algebraic group, enabling better system representations from sparse or incomplete data.
This paper shows how to compute more eigenfunctions of the Koopman operator—a mathematical tool for analyzing dynamical systems—by using algebraic relationships between a small set of known eigenfunctions.