4.5 Article

An efficient approximation to the stochastic Allen-Cahn equation with random diffusion coefficient field and multiplicative noise

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SPRINGER
DOI: 10.1007/s10444-023-10072-w

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Stochastic Allen-Cahn equation; Random coefficient; Multiplicative noise; Extended Euler-Maruyama scheme; Stability

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This paper investigates the stochastic Allen-Cahn equation with random diffusion coefficient field and multiplicative force noise. It proposes and analyzes a new time-stepping method based on the auxiliary variable approach. The method is efficient, with low computational complexity, and unconditionally stable, dissipating discrete energy in the absence of multiplicative noise. Numerical experiments demonstrate its robustness compared to the classical semi-implicit Euler-Maruyama scheme, particularly for small interface width parameters.
This paper studies the stochastic Allen-Cahn equation involving random diffusion coefficient field and multiplicative force noise. A new time-stepping method based on auxiliary variable approach is proposed and analyzed. The proposed method is efficient thanks to its low computational complexity. Furthermore, it is unconditionally stable in the sense that a discrete energy is dissipative when the multiplicative noise is absent. Our numerical experiments show that the new scheme is much more robust than the classical semi-implicit Euler-Maruyama scheme, particularly when the interface width parameter is small. Several numerical examples are provided to demonstrate the performance of the proposed method.

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