Higher-Order Finite Difference Methods for the Tempered Fractional Laplacian

Fuente: arXiv
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Auteurs principaux: Wang, Mingyi, Wang, Dongling
Format: Preprint
Publié: 2026
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author Wang, Mingyi
Wang, Dongling
author_facet Wang, Mingyi
Wang, Dongling
contents This paper presents a general framework of high-order finite difference (HFD) schemes for the tempered fractional Laplacian (TFL) based on new generating functions obtained from the discrete symbols. Specifically, for sufficiently smooth functions, the resulting discretizations achieve high-order convergence with orders $p=4, 6, 8$. The discrete operators lead to Toeplitz stiffness matrices, allowing efficient matrix-vector multiplications via fast algorithms. Building on these approximations, HFD methods are formulated for solving TFL equations, and their stability and convergence are rigorously analyzed. Numerical simulations confirm the effectiveness of the proposed methods, showing excellent agreement with the theoretical predictions.
format Preprint
id arxiv_https___arxiv_org_abs_2601_21388
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Higher-Order Finite Difference Methods for the Tempered Fractional Laplacian
Wang, Mingyi
Wang, Dongling
Numerical Analysis
This paper presents a general framework of high-order finite difference (HFD) schemes for the tempered fractional Laplacian (TFL) based on new generating functions obtained from the discrete symbols. Specifically, for sufficiently smooth functions, the resulting discretizations achieve high-order convergence with orders $p=4, 6, 8$. The discrete operators lead to Toeplitz stiffness matrices, allowing efficient matrix-vector multiplications via fast algorithms. Building on these approximations, HFD methods are formulated for solving TFL equations, and their stability and convergence are rigorously analyzed. Numerical simulations confirm the effectiveness of the proposed methods, showing excellent agreement with the theoretical predictions.
title Higher-Order Finite Difference Methods for the Tempered Fractional Laplacian
topic Numerical Analysis
url https://arxiv.org/abs/2601.21388