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In this paper, a higher-order time-discretization scheme is proposed, where the iterates approximate the solution of the stochastic semilinear wave equation driven by multiplicative noise with general drift and diffusion. We employ a variational method for its error analysis and prove an improved convergence order of 3/2 for the approximates of the solution. The core of the analysis is Holder continuity in time and moment bounds for the solutions of the continuous and the discrete problem. Computational experiments are also presented., Comment: 41 pages, 6 figures

The Gierer-Meinhardt system occurs in morphogenesis, where the development of an organism from a single cell is modelled. One of the steps in the development, is the formation of spatial patterns of the cell structure, starting from an almost homogeneous cell distribution. Turing proposed in his pioneering work different activator-inhibitor systems with different diffusion rates, which could trigger the emergence of such cell structures. Mathematically, one describes these activator-inhibitor systems as a coupled systems of reaction-diffusion equations with hugely different diffusion coefficients and highly nonlinear interaction. One famous example of these systems is the Gierer-Meinhardt system. These systems usually are not of monotone type, such that one has to apply other techniques. The purpose of this article is to study the stochastic reaction-diffusion Gierer-Meinhardt system with homogeneous Neumann boundary condition on a one or two-dimensional bounded spatial domain. To be more precise, we perturb the original Gierer-Meinhardt system by an infinite-dimensional Wiener process and show under which conditions on the Wiener process and the system, a solution exists. In dimension one, we even show the pathwise uniqueness. In dimension two, uniqueness is still an open question., Comment: 51 pages