Analysis of a WSGD scheme for backward fractional Feynman-Kac equation with nonsmooth data

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Liyao Hao, Wenyi Tian
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引用次数: 0

Abstract

In this paper, we propose and analyze a second-order time-stepping numerical scheme for the inhomogeneous backward fractional Feynman-Kac equation with nonsmooth initial data. The complex parameters and time-space coupled Riemann-Liouville fractional substantial integral and derivative in the equation bring challenges on numerical analysis and computations. The nonlocal operators are approximated by using the weighted and shifted Grünwald difference (WSGD) formula. Then, a second-order WSGD scheme is obtained after making some initial corrections. Moreover, the error estimates of the proposed time-stepping scheme are rigorously established without the regularity requirement on the exact solution. Finally, some numerical experiments are performed to validate the efficiency and accuracy of the proposed numerical scheme.

非光滑数据的后向分数费曼-卡克方程的 WSGD 方案分析
本文提出并分析了非光滑初始数据的非均质后向分数费曼-卡克方程的二阶时间步进数值方案。方程中的复杂参数和时空耦合的黎曼-刘维尔分数实质积分和导数给数值分析和计算带来了挑战。非局部算子近似采用加权移位格吕内瓦尔德差分(WSGD)公式。在进行一些初始修正后,得到了一个二阶 WSGD 方案。此外,在对精确解没有正则性要求的情况下,严格建立了所提出的时间步进方案的误差估计。最后,通过一些数值实验验证了所提数值方案的效率和准确性。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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