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An efficient numerical approach for stochastic evolution PDEs driven by random diffusion coefficients and multiplicative noise

by   X. Qi, et al.

In this paper, we investigate the stochastic evolution equations (SEEs) driven by log-Whittle-Matérn (W-M) random diffusion coefficient field and Q-Wiener multiplicative force noise. First, the well-posedness of the underlying equations is established by proving the existence, uniqueness, and stability of the mild solution. A sampling approach called approximation circulant embedding with padding is proposed to sample the random coefficient field. Then a spatio-temporal discretization method based on semi-implicit Euler-Maruyama scheme and finite element method is constructed and analyzed. An estimate for the strong convergence rate is derived. Numerical experiments are finally reported to confirm the theoretical result.


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