Hopf-Lax approximation for value functions of L\'evy optimal control problems
Abstract
In this paper, we investigate stochastic versions of the Hopf-Lax formula which are based on compositions of the Hopf-Lax operator with the transition kernel of a L\'evy process taking values in a separable Banach space. We show that, depending on the order of the composition, one obtains upper and lower bounds for the value function of a stochastic optimal control problem associated to the drift controlled L\'evy dynamics. Dynamic consistency is restored by iterating the resulting operators. Moreover, the value function of the control problem is approximated both from above and below as the number of iterations tends to infinity, and we provide explicit convergence rates and guarantees for the approximation procedure.
Cite
@article{arxiv.2501.16846,
title = {Hopf-Lax approximation for value functions of L\'evy optimal control problems},
author = {Michael Kupper and Max Nendel and Alessandro Sgarabottolo},
journal= {arXiv preprint arXiv:2501.16846},
year = {2025}
}
Comments
Final version, accepted for publication in Proc. Amer. Math. Soc