Meshfree Finite Difference Solution of Homogeneous Dirichlet Problems of the Fractional Laplacian

Jinye Shen , Bowen Shi , Weizhang Huang

Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (2) : 589 -605.

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Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (2) :589 -605. DOI: 10.1007/s42967-024-00368-z
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Meshfree Finite Difference Solution of Homogeneous Dirichlet Problems of the Fractional Laplacian
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Abstract

A so-called grid-overlay finite difference method (GoFD) was proposed recently for the numerical solution of homogeneous Dirichlet boundary value problems (BVPs) of the fractional Laplacian on arbitrary bounded domains. It was shown to have advantages of both finite difference (FD) and finite element methods, including their efficient implementation through the fast Fourier transform (FFT) and the ability to work for complex domains and with mesh adaptation. The purpose of this work is to study GoFD in a meshfree setting, a key to which is to construct the data transfer matrix from a given point cloud to a uniform grid. Two approaches are proposed, one based on the moving least squares fitting and the other based on the Delaunay triangulation and piecewise linear interpolation. Numerical results obtained for examples with convex and concave domains and various types of point clouds are presented. They show that both approaches lead to comparable results. Moreover, the resulting meshfree GoFD converges in a similar order as GoFD with unstructured meshes and finite element approximation as the number of points in the cloud increases. Furthermore, numerical results show that the method is robust to random perturbations in the location of the points.

Keywords

Fractional Laplacian / Meshfree / Finite difference (FD) / Arbitrary domain / Overlay grid / 65N06 / 35R11

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Jinye Shen, Bowen Shi, Weizhang Huang. Meshfree Finite Difference Solution of Homogeneous Dirichlet Problems of the Fractional Laplacian. Communications on Applied Mathematics and Computation, 2025, 7(2): 589-605 DOI:10.1007/s42967-024-00368-z

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Funding

National Natural Science Foundation of China(12101509)

University of Kansas General Research(FY23)

Simons Foundation(MP-TSM-00002397)

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Shanghai University

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