An integrable bound for rough stochastic partial differential equations with applications to invariant manifolds and stability

Abstract

We study semilinear rough stochastic partial differential equations as introduced in Gerasimovičs and Hairer (2019) [31]. We provide $L^p\left(\Omega \right)$-integrable a priori bounds for the solution and its linearization in case the equation is driven by a suitable Gaussian process. Using the multiplicative ergodic theorem for Banach spaces, we can deduce the existence of a Lyapunov spectrum for the linearized equation around stationary points. The existence of local stable, unstable, and center manifolds around stationary points is provided. In the case where all Lyapunov exponents are negative, local exponential stability can be deduced. We illustrate our findings with several examples.