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.

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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
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On time uniform Wong-Zakai approximation theorems

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article

On time uniform Wong-Zakai approximation theorems

Hamza Ruzayqat, Pierre Del Moral, Ajay Jasra, Shulan Hu, Xinyu Wang
article en
1 citations

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.

Mathematics of Computation
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)
Openalex Percentile: Top 13%
Stochastic processes and financial applications
2.21
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