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A fully discrete approximation of the one-dimensional stochastic wave equation

机译:一维随机波动方程的完全离散近似

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摘要

A fully discrete approximation of one-dimensional nonlinear stochastic wave equations driven by multiplicative noise is presented. A standard finite difference approximation is used in space and a stochastic trigonometric method is used for the temporal approximation. This explicit time integrator allows for error bounds in LP(Omega), uniformly in time and space, in such a way that the time discretization does not suffer from any kind of CFL-type step-size restriction. Moreover, uniform almost sure convergence of the numerical solution is also proved. Numerical experiments are presented and confirm the theoretical results.
机译:提出了由乘性噪声驱动的一维非线性随机波方程的完全离散近似。在空间中使用标准的有限差分近似,而在时间上近似采用随机三角法。这种显式的时间积分器在时间和空间上均匀地允许LP(Omega)中的误差范围,以使时间离散化不受任何CFL类型步长限制的影响。此外,还证明了数值解的一致几乎确定的收敛性。进行了数值实验并证实了理论结果。

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