Algorithm implementation and numerical analysis for the two-dimensional tempered fractional Laplacian
Jing Sun, Daxin Nie, Weihua Deng

TL;DR
This paper develops finite difference methods for the two-dimensional tempered fractional Laplacian, enabling accurate numerical solutions to related Poisson equations with verified convergence and effectiveness.
Contribution
It introduces a finite difference discretization for the 2D tempered fractional Laplacian and analyzes its error estimates for solving Poisson equations.
Findings
Numerical schemes achieve expected convergence rates.
Methods effectively solve tempered fractional Poisson problems.
Error estimates confirm scheme accuracy.
Abstract
Tempered fractional Laplacian is the generator of the tempered isotropic L\'evy process [W.H. Deng, B.Y. Li, W.Y. Tian, and P.W. Zhang, Multiscale Model. Simul., 16(1), 125-149, 2018]. This paper provides the finite difference discretization for the two dimensional tempered fractional Laplacian . Then we use it to solve the tempered fractional Poisson equation with Dirichlet boundary conditions and derive the error estimates. Numerical experiments verify the convergence rates and effectiveness of the schemes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
