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Volume 15, Issue 3
Finite Difference Method for Inhomogeneous Fractional Dirichlet Problem

Jing Sun, Weihua Deng & Daxin Nie

Numer. Math. Theor. Meth. Appl., 15 (2022), pp. 744-767.

Published online: 2022-07

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  • Abstract

We make the split of the integral fractional Laplacian as $$(−∆)^su = (−∆)(−∆)^{s−1}u,$$ where $s ∈ (0,\frac{1}{2}) ∪ (\frac{1}{2}, 1).$ Based on this splitting, we respectively discretize the one- and two-dimensional integral fractional Laplacian with the inhomogeneous Dirichlet boundary condition and give the corresponding truncation errors with the help of the interpolation estimate. Moreover, the suitable corrections are proposed to guarantee the convergence in solving the inhomogeneous fractional Dirichlet problem and an $\mathcal{O}(h ^{1+α−2s})$ convergence rate is obtained when the solution $u ∈ C ^{1,α}(\overline{Ω}^ δ_n),$ where $n$ is the dimension of the space, $α ∈ ({\rm max}(0, 2s − 1), 1], δ$ is a fixed positive constant, and $h$ denotes mesh size. Finally, the performed numerical experiments confirm the theoretical results.

  • AMS Subject Headings

65N06, 35R11, 65N15

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{NMTMA-15-744, author = {Sun , JingDeng , Weihua and Nie , Daxin}, title = {Finite Difference Method for Inhomogeneous Fractional Dirichlet Problem}, journal = {Numerical Mathematics: Theory, Methods and Applications}, year = {2022}, volume = {15}, number = {3}, pages = {744--767}, abstract = {

We make the split of the integral fractional Laplacian as $$(−∆)^su = (−∆)(−∆)^{s−1}u,$$ where $s ∈ (0,\frac{1}{2}) ∪ (\frac{1}{2}, 1).$ Based on this splitting, we respectively discretize the one- and two-dimensional integral fractional Laplacian with the inhomogeneous Dirichlet boundary condition and give the corresponding truncation errors with the help of the interpolation estimate. Moreover, the suitable corrections are proposed to guarantee the convergence in solving the inhomogeneous fractional Dirichlet problem and an $\mathcal{O}(h ^{1+α−2s})$ convergence rate is obtained when the solution $u ∈ C ^{1,α}(\overline{Ω}^ δ_n),$ where $n$ is the dimension of the space, $α ∈ ({\rm max}(0, 2s − 1), 1], δ$ is a fixed positive constant, and $h$ denotes mesh size. Finally, the performed numerical experiments confirm the theoretical results.

}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.OA-2021-0173}, url = {http://global-sci.org/intro/article_detail/nmtma/20814.html} }
TY - JOUR T1 - Finite Difference Method for Inhomogeneous Fractional Dirichlet Problem AU - Sun , Jing AU - Deng , Weihua AU - Nie , Daxin JO - Numerical Mathematics: Theory, Methods and Applications VL - 3 SP - 744 EP - 767 PY - 2022 DA - 2022/07 SN - 15 DO - http://doi.org/10.4208/nmtma.OA-2021-0173 UR - https://global-sci.org/intro/article_detail/nmtma/20814.html KW - One- and two-dimensional integral fractional Laplacian, Lagrange interpolation, operator splitting, finite difference, the inhomogeneous fractional Dirichlet problem, error estimates. AB -

We make the split of the integral fractional Laplacian as $$(−∆)^su = (−∆)(−∆)^{s−1}u,$$ where $s ∈ (0,\frac{1}{2}) ∪ (\frac{1}{2}, 1).$ Based on this splitting, we respectively discretize the one- and two-dimensional integral fractional Laplacian with the inhomogeneous Dirichlet boundary condition and give the corresponding truncation errors with the help of the interpolation estimate. Moreover, the suitable corrections are proposed to guarantee the convergence in solving the inhomogeneous fractional Dirichlet problem and an $\mathcal{O}(h ^{1+α−2s})$ convergence rate is obtained when the solution $u ∈ C ^{1,α}(\overline{Ω}^ δ_n),$ where $n$ is the dimension of the space, $α ∈ ({\rm max}(0, 2s − 1), 1], δ$ is a fixed positive constant, and $h$ denotes mesh size. Finally, the performed numerical experiments confirm the theoretical results.

Jing Sun, Weihua Deng & Daxin Nie. (2022). Finite Difference Method for Inhomogeneous Fractional Dirichlet Problem. Numerical Mathematics: Theory, Methods and Applications. 15 (3). 744-767. doi:10.4208/nmtma.OA-2021-0173
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