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arXiv 1106.1889math.NAcs.NA
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一类带乘性迹类噪声的非线性随机偏微分方程的龙格-库塔型格式

A Runge-Kutta type scheme for nonlinear stochastic partial differential equations with multiplicative trace class noise

Central South University(中南大学)

Xiaojie Wang, Siqing Gan

AI总结:

针对带乘性迹类噪声的非线性随机偏微分方程,提出一种比线性隐式欧拉格式收敛阶更高且比Milstein型格式更易实现的龙格-库塔型数值格式。

摘要:

本文针对带乘性迹类噪声的非线性随机偏微分方程(SPDEs)引入了一种新的龙格-库塔型格式。所提格式在计算效率上比著名的线性隐式欧拉格式具有更高的收敛阶。与最近在[Jentzen & Röckner (2012); A Milstein scheme for SPDEs, Arxiv preprint arXiv:1001.2751v4]中提出的Milstein型格式的无穷维类比相比,我们的格式更易于实现,且由于避免了扩散函数的导数,所需计算量更小。该新格式可视为有限维随机常微分方程(SODEs)龙格-库塔方法的无穷维类比。数值算例验证了理论结果。

英文摘要:

In this paper a new Runge-Kutta type scheme is introduced for nonlinear stochastic partial differential equations (SPDEs) with multiplicative trace class noise. The proposed scheme converges with respect to the computational effort with a higher order than the well-known linear implicit Euler scheme. In comparison to the infinite dimensional analog of Milstein type scheme recently proposed in [Jentzen & Röckner (2012); A Milstein scheme for SPDEs, Arxiv preprint arXiv:1001.2751v4], our scheme is easier to implement and needs less computational effort due to avoiding the derivative of the diffusion function. The new scheme can be regarded as an infinite dimensional analog of Runge-Kutta method for finite dimensional stochastic ordinary differential equations (SODEs). Numerical examples are reported to support the theoretical results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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