Wellposedness and regularity estimates for stochastic Cahn-Hilliard equation with unbounded noise diffusion

In this article, we consider the one dimensional stochastic Cahn-Hilliard equation driven by multiplicative space-time white noise with diffusion coefficient of sublinear growth. By introducing the spectral Galerkin method, we obtain the well-posedness of the approximated equation in finite dimension. Then with help of the semigroup theory and the factorization method, the approximation processes are shown to possess many desirable properties. Further, we show that the approximation process is strongly convergent in a certain Banach space with an explicit algebraic convergence rate. Finally, the global existence and regularity estimates of the unique solution process are proven by means of the strong convergence of the approximation process, which fills a gap on the global existence of the mild solution for stochastic Cahn-Hilliard equation when the diffusion coefficient satisfies a growth condition of order alpha is an element of (1/3, 1).

Automated summary

This article investigates the approximation problem of the one-dimensional stochastic Cahn-Hilliard equation. The well-posedness of the approximated equation in finite dimension is obtained using the spectral Galerkin method. The desirable properties and explicit convergence rate of the approximation processes are shown through the semigroup theory and factorization method. Additionally, the global existence and regularity estimates of the unique solution process are proven by means of the strong convergence of the approximation process, filling a gap in the global existence of the mild solution for the stochastic Cahn-Hilliard equation.