Dynamic Programming Principle for Stochastic Control Problems driven by General Lévy Noise

Abstract

We extend the proof of the dynamic programming principle (DPP) for standard stochastic optimal control problems driven by general Lévy noises. Under appropriate assumptions, it is shown that the DPP still holds when the state process fails to have any moments at all.