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In this paper we show that the rate of convergence of Wong-Zakaiapproximations for stochastic partial differential equations driven by Wienerprocesses is essentially the same as the rate of convergence of the drivingprocesses W_n approximating the Wiener process, provided the area processes ofW_n also converge to those of W with that rate. We consider non-degenerate andalso degenerate stochastic PDEs with time dependent coefficients.

Rate of convergence of Wong-Zakai approximations for stochastic partial differential equations