On time uniform Wong-Zakai approximation theorems
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- by Pierre Del Moral, Shulan Hu, Ajay Jasra, Hamza Ruzayqat and Xinyu Wang;
- Math. Comp.
- DOI: https://doi.org/10.1090/mcom/4112
- Published electronically: June 16, 2025
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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.References
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Bibliographic Information
- Pierre Del Moral
- Affiliation: Institut de Mathematiques de Bordeaux, 200 Avenue de la Vieille Tour, 33405 Bordeaux, France
- MR Author ID: 363059
- ORCID: 0000-0003-1151-6662
- Email: pierre.del-moral@inria.fr
- Shulan Hu
- Affiliation: School of Statistics and Mathematics, Zhongnan University of Economics and Law, 182 Nanhu Avenue, East Lake High-tech Development Zone, Wuhan 430073, People’s Republic of China
- Email: hu_shulan@zuel.edu.cn
- Ajay Jasra
- Affiliation: School of Data Science, The Chinese University of Hong Kong, Shenzhen, 3 - 6 Floor, Dao Yuan Building, 2001 Longxiang Road, Longgang District, Shenzhen, People’s Republic of China
- MR Author ID: 773208
- Email: ajayjasra@cuhk.edu.cn
- Hamza Ruzayqat
- Affiliation: Applied Mathematics and Computational Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
- MR Author ID: 1380024
- Email: hamza.ruzayqat@kaust.edu.sa
- Xinyu Wang
- Affiliation: Wenlan School of Business, Zhongnan University of Economics and Law, 182 Nanhu Avenue, East Lake High-tech Development Zone, Wuhan 430073, People’s Republic of China
- ORCID: 0000-0003-1402-4604
- Email: wang_xin_yu@zuel.edu.cu
- Received by editor(s): November 10, 2024
- Received by editor(s) in revised form: April 19, 2025, and April 22, 2025
- Published electronically: June 16, 2025
- Additional Notes: The third author was supported by SDS CUHK-SZ. The fourth author was supported by KAUST baseline funding. In addition, this work was also supported by the Innovation and Talent Base for Digital Technology and Finance (B21038) and ’the Fundamental Research Funds for the Central Universities’, Zhongnan University of Economics and Law (2722023EJ002).
The fifth author is the corresponding author. - © Copyright 2025 American Mathematical Society
- Journal: Math. Comp.
- MSC (2020): Primary 60H35; Secondary 65C30
- DOI: https://doi.org/10.1090/mcom/4112