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Numerical Algorithms of the Two-dimensional Feynman-Kac Equation for Reaction and Diffusion Processes

机译:反应和扩散过程二维Feynman-KAC方程的数值算法

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This paper provides a finite difference discretization for the backward Feynman-Kac equation, governing the distribution of functionals of the path for a particle undergoing both reaction and diffusion (Hou and Deng in J Phys A Math Theor 51:155001, 2018). Numerically solving the equation with the time tempered fractional substantial derivative and tempered fractional Laplacian consists in discretizing these two non-local operators. Here, using convolution quadrature, we provide the first-order and second-order schemes for discretizing the time tempered fractional substantial derivative, which doesn't require the assumption of the regularity of the solution in time; we use the finite difference method to approximate the two-dimensional tempered fractional Laplacian, and the accuracy of the scheme depends on the regularity of the solution on (Omega) over bar rather than the whole space. Lastly, we verify the predicted convergence orders and the effectiveness of the presented schemes by numerical examples.
机译:本文提供了对后向Feynman-KAC方程的有限差异离散化,用于治疗经历反应和扩散的粒子的路径功能的分布(J Hous Math Wealor 51:155001,2018)。用时间升温分数大量衍生物和钢化分数拉普拉斯的数值求解等式,包括离散化这两个非局部运算符。这里,使用卷积正交,我们提供了用于离散地升温分数大量衍生物的一阶和二阶方案,这不需要及时假设解决方案的规律性;我们使用有限差分方法来近似二维钢化分数拉普拉斯,方案的准确性取决于(Omega)对酒吧而不是整个空间的溶液的规律性。最后,我们通过数值示例验证了预测的收敛订单和所提出方案的有效性。

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