$$L^p$$-estimates and regularity for SPDEs with monotone semilinearity

Semilinear stochastic partial differential equations on bounded domains$${\mathscr {D}}$$Dare considered. The semilinear term may have arbitrary polynomial growth as long as it is continuous and monotone except perhaps near the origin. Typical examples are the stochastic Allen–Cahn and Ginzburg–Landau equations. The first main result of this article are$$L^p$$Lp-estimates for such equations. The$$L^p$$Lp-estimates are subsequently employed in obtaining higher regularity. This is motivated by ongoing work to obtain rate of convergence estimates for numerical approximations to such equations. It is shown, under appropriate assumptions, that the solution is continuous in time with values in the Sobolev space$$H^2({\mathscr {D}}')$$H2(D′)and$$\ell ^2$$ℓ2-integrable with values in$$H^3({\mathscr {D}}')$$H3(D′), for any compact$${\mathscr {D}}' \subset {\mathscr {D}}$$D′⊂D. Using results from$$L^p$$Lp-theory of SPDEs obtained by Kim (Stoch Proc Appl 112:261–283, 2004) we get analogous results in weighted Sobolev spaces on the whole$${\mathscr {D}}$$D. Finally it is shown that the solution is Hölder continuous in time of order$$\frac{1}{2} - \frac{2}{q}$$12-2qas a process with values in a weighted$$L^q$$Lq-space, whereqarises from the integrability assumptions imposed on the initial condition and forcing terms.