On time uniform Wong-Zakai approximation theorems
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.
Authors
- Hamza Ruzayqat (ORCID: https://orcid.org/0000-0002-6394-0695)
- Pierre Del Moral (ORCID: https://orcid.org/0000-0003-1151-6662)
- Ajay Jasra (ORCID: https://orcid.org/0000-0003-4808-9131)
- Shulan Hu (ORCID: https://orcid.org/0000-0001-8431-4565)
- Xinyu Wang (ORCID: https://orcid.org/0000-0002-3676-2408)
Institutions
- Zhongnan University of Economics and Law (CN)
- Chinese University of Hong Kong, Shenzhen (CN)
- Institut de Mathématiques de Bordeaux (FR)
- King Abdullah University of Science and Technology (SA)
Publication Details
- Journal
- Mathematics of Computation
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1090/mcom/4112
- Citations
- 1
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 2.21