Quantitative normal approximations for the stochastic fractional heat equation
Quantitative normal approximations for the stochastic fractional heat equation
Abstract In this article we present a quantitative central limit theorem for the stochastic fractional heat equation driven by a a general Gaussian multiplicative noise, including the cases of spaceātime white noise and the white-colored noise with spatial covariance given by the Riesz kernel or a bounded integrable function. We ā¦