English

On Time Uniform Wong-Zakai Approximation Theorems

Probability 2023-10-10 v1

Abstract

We consider the long time behavior of Wong-Zakai approximations of stochastic differential equations. These piecewise smooth diffusion approximations are of great importance in many areas, such as those with ordinary differential equations associated to random smooth fluctuations; e.g. robust filtering problems. In many examples, the mean error estimate bounds that have been derived in the literature can grow exponentially with respect to the time horizon. We show in a simple example that indeed mean error estimates do explode exponentially in the time parameter, i.e. in that case a Wong-Zakai approximation is only useful for extremely short time intervals. Under spectral conditions, we present some quantitative time-uniform convergence theorems, i.e. time-uniform mean error bounds, yielding what seems to be the first results of this type for Wong-Zakai diffusion approximations.

Keywords

Cite

@article{arxiv.2310.04967,
  title  = {On Time Uniform Wong-Zakai Approximation Theorems},
  author = {Pierre Del Moral and Shulan Hu and Ajay Jasra and Hamza Ruzayqat and Xinyu Wang},
  journal= {arXiv preprint arXiv:2310.04967},
  year   = {2023}
}
R2 v1 2026-06-28T12:43:37.544Z