Accurate numerical methods for two and three dimensional integral fractional Laplacian with applications
arXiv:1804.02718 · doi:10.1016/j.cma.2019.06.016
Abstract
In this paper, we propose accurate and efficient finite difference methods to discretize the two- and three-dimensional fractional Laplacian () in hypersingular integral form. The proposed finite difference methods provide a fractional analogue of the central difference schemes to the fractional Laplacian, and as , they collapse to the central difference schemes of the classical Laplace operator . We prove that our methods are consistent if , and the local truncation error is , with a small constant and denoting the floor function. If , they can achieve the second order of accuracy for any . These results hold for any dimension and thus improve the existing error estimates for the finite difference method of the one-dimensional fractional Laplacian. Extensive numerical experiments are provided and confirm our analytical results. We then apply our method to solve the fractional Poisson problems and the fractional Allen-Cahn equations. Numerical simulations suggest that to achieve the second order of accuracy, the solution of the fractional Poisson problem should {\it at most} satisfy . One merit of our methods is that they yield a multilevel Toeplitz stiffness matrix, an appealing property for the development of fast algorithms via the fast Fourier transform (FFT). Our studies of the two- and three-dimensional fractional Allen-Cahn equations demonstrate the efficiency of our methods in solving the high-dimensional fractional problems.
arXiv comment24 pages, 6 figures, and 6 tables
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