Wong--Zakai Convergence and FNO Learning for Stochastic Volterra Equations
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arXiv:2610.18939v1 Announce Type: new Abstract: This paper studies Wong--Zakai convergence and Fourier neural operator learning for stochastic Volterra integral equations (SVIEs) describing random systems with memory. A Wong--Zakai theorem establishes convergence of pathwise solutions driven by piecewise linear approximations of Brownian motion to the corresponding SVIE solution.
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