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A tunable finite difference method for fractional differential equations with non-smooth solutions

机译:具有非光滑解的分数阶微分方程的可调有限差分方法

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In this work, a finite difference method of tunable accuracy for fractional differential equations (FDEs) with end-point singu-larities is developed. Modified weighted shifted Grunwald-Letnikov (WSGL) formulas are proposed to approximate the left and right Riemann-Liouville fractional operators, which show better accuracy than the original WSGL formulas, due to the use of the correction terms. Finite difference schemes are constructed to solve two fractional boundary value problems and a space-fractional Allen-Cahn equation. Even if the singularity of the considered FDEs is unknown, satisfactory numerical solutions can still be obtained by suitably tuning the correction terms. Various numerical examples are presented to verify the effectiveness of the present method, and comparisons with other known methods are also made that demonstrate higher accuracy of the current method. (C) 2017 Elsevier B.V. All rights reserved.
机译:在这项工作中,开发了一种具有端点正弦性的分数阶微分方程(FDE)的可调精度的有限差分方法。提出了修正的加权移位Grunwald-Letnikov(WSGL)公式来近似左和右Riemann-Liouville分数运算符,由于使用了校正项,它们显示出比原始WSGL公式更好的准确性。构建了有限差分方案,以解决两个分数阶边值问题和一个空间分数阶Allen-Cahn方程。即使所考虑的FDE的奇异性未知,也可以通过适当调整校正项来获得令人满意的数值解。给出了各种数值示例以验证本方法的有效性,并且还与其他已知方法进行了比较,这些方法证明了当前方法的更高准确性。 (C)2017 Elsevier B.V.保留所有权利。

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