Galerkin spectral and finite difference methods for the solution of fourth-order time fractional partial integro-differential equation with a weakly singular kernel

IF 2.4 3区 数学 Q1 MATHEMATICS Journal of Applied Mathematics and Computing Pub Date : 2024-07-02 DOI:10.1007/s12190-024-02173-6
Hoorieh Fakhari, Akbar Mohebbi
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Abstract

In this paper, we propose an efficient numerical algorithm for the solution of fourth-order time fractional partial integro-differential equation with a weakly singular kernel. In time direction, we use second-order finite difference schemes to discretize the Caputo fractional derivative and also singular integral term. To achieve fully discrete scheme, we apply Galerkin method using generalized Jacobi polynomials as basis, which satisfy essentially all the underlying homogeneous boundary conditions. The proposed method is fast and efficient due to the resulting sparse coefficient matrices. We investigate the error estimate and prove that the method is convergent. Numerical results show the high accuracy and low CPU time of proposed method and confirmed the theoretical ones. Second-order accuracy in time direction and spectral accuracy in space component are also numerically demonstrated by some test problems. Finally we compare the numerical results with the results of other recently methods developed in literature.

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用伽勒金谱法和有限差分法求解具有弱奇异内核的四阶时间分式偏积分微分方程
本文提出了一种高效的数值算法,用于求解具有弱奇异内核的四阶时间分式偏积分微分方程。在时间方向上,我们使用二阶有限差分方案来离散 Caputo 分导数和奇异积分项。为了实现完全离散方案,我们采用了 Galerkin 方法,以广义雅可比多项式为基础,基本上满足了所有潜在的同质边界条件。由于所得到的系数矩阵稀疏,因此所提出的方法既快速又高效。我们对误差估计进行了研究,并证明该方法是收敛的。数值结果表明了所提方法的高精度和低 CPU 时间,并证实了理论结果。我们还通过一些测试问题数值证明了时间方向的二阶精度和空间分量的频谱精度。最后,我们将数值结果与文献中最近开发的其他方法的结果进行了比较。
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来源期刊
Journal of Applied Mathematics and Computing
Journal of Applied Mathematics and Computing Mathematics-Computational Mathematics
CiteScore
4.20
自引率
4.50%
发文量
131
期刊介绍: JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.
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