Abstract :
The Wong–Zakai theorem asserts that ODEs driven by “reasonable” (e.g. piecewise linear) approximations
of Brownian motion converge to the corresponding Stratonovich stochastic differential equation.With
the aid of rough path analysis, we study “non-reasonable” approximations and go beyond a well-known
criterion of [Ikeda, Watanabe, North Holland, 1989] in the sense that our result applies to perturbations on
all levels, exhibiting additional drift terms involving any iterated Lie brackets of the driving vector fields. In
particular, this applies to the approximations by McShane (’72) and Sussmann (’91). Our approach is not
restricted to Brownian driving signals. At last, these ideas can be used to prove optimality of certain rough
path estimates.
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