English

Backward stochastic differential equations with nonlinear Young drivers II

Probability 2025-09-08 v1

Abstract

This paper continues our previous work (Part I, arXiv:2504.18632v3) on the well-posedness of backward stochastic differential equations (BSDEs) involving a nonlinear Young integral of the form tTg(Yr)η(dr,Xr)\int_{t}^{T}g(Y_{r})\eta(dr,X_{r}), with particular focus on the case where the driver η(t,x)\eta(t,x) is unbounded. To address this setting, we develop a new localization method that extends solvability from BSDEs with bounded drivers to those with unbounded ones. As a direct application, we derive a nonlinear Feynman-Kac formula for a class of partial differential equations driven by Young signals (Young PDEs). Moreover, employing the proposed localization method, we obtain error estimates that compare Cauchy-Dirichlet problems on bounded domains with their whole-space Cauchy counterparts, with special attention to non-Lipschitz PDEs.

Keywords

Cite

@article{arxiv.2509.05183,
  title  = {Backward stochastic differential equations with nonlinear Young drivers II},
  author = {Jian Song and Huilin Zhang and Kuan Zhang},
  journal= {arXiv preprint arXiv:2509.05183},
  year   = {2025}
}

Comments

64 pages, 2 figures, Part II of the article

R2 v1 2026-07-01T05:23:17.937Z