Linear vs Standard Information for Scalar Stochastic Differential Equations

AbstractWe study pathwise approximation of scalar sde's with respect to the mean squared L2-error. We compare the power of linear and standard information about the driving Brownian motion. It turns out that asymptotically the corresponding minimal errors differ only by the factor 6/π