English

Rough backward SDEs with discontinuous Young drivers

Probability 2025-05-28 v1

Abstract

We study solutions to backward differential equations that are driven hybridly by a deterministic discontinuous rough path WW of finite qq-variation for q[1,2)q \in [1, 2) and by Brownian motion BB. To distinguish between integration of jumps in a forward- or Marcus-sense, we refer to these equations as forward- respectively Marcus-type rough backward stochastic differential equations (RBSDEs). We establish global well-posedness by proving global apriori bounds for solutions and employing fixed-point arguments locally. Furthermore, we lift the RBSDE solution and the driving rough noise to the space of decorated paths endowed with a Skorokhod-type metric and show stability of solutions with respect to perturbations of the rough noise. Finally, we prove well-posedness for a new class of backward doubly stochastic differential equations (BDSDEs), which are jointly driven by a Brownian martingale BB and an independent discontinuous stochastic process LL of finite qq-variation. We explain, how our RBSDEs can be understood as conditional solutions to such BDSDEs, conditioned on the information generated by the path of LL.

Keywords

Cite

@article{arxiv.2505.20437,
  title  = {Rough backward SDEs with discontinuous Young drivers},
  author = {Dirk Becherer and Yuchen Sun},
  journal= {arXiv preprint arXiv:2505.20437},
  year   = {2025}
}
R2 v1 2026-07-01T02:41:00.240Z