English

Nonlinear Semimartingales and Markov Processes with Jumps

Probability 2023-11-07 v2 Analysis of PDEs Optimization and Control

Abstract

In this paper we study a family of nonlinear (conditional) expectations that can be understood as a semimartingale with uncertain local characteristics. Here, the differential characteristics are prescribed by a time and path-dependent set-valued function. We show that the associated control problem coincides with both its weak and relaxed counterparts. Furthermore, we establish regularity properties of the value function and discuss their relation to Feller properties of nonlinear semigroups. In the Markovian case we provide conditions that allow us to identify the corresponding semigroup as the unique viscosity solution to a nonlinear Hamilton-Jacobi-Bellman equation. To illustrate our results we discuss a random GG-double exponential L\'evy setting.

Keywords

Cite

@article{arxiv.2310.10546,
  title  = {Nonlinear Semimartingales and Markov Processes with Jumps},
  author = {David Criens and Lars Niemann},
  journal= {arXiv preprint arXiv:2310.10546},
  year   = {2023}
}

Comments

We added an appendix and updated some references

R2 v1 2026-06-28T12:52:16.596Z