What Is the Fractional Laplacian? A Comparative Review with New Results
Journal Article
·
· Journal of Computational Physics
- Brown Univ., Providence, RI (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Southern Methodist Univ., Dallas, TX (United States)
- Michigan State Univ., East Lansing, MI (United States)
The fractional Laplacian in $$\mathbb{R}^{d}$$, which we write as (–Δ)α/2 with, α ϵ (0, 2) has multiple equivalent characterizations. Furthermore, in bounded domains, boundary conditions must be incorporated in these characterizations in mathematically distinct ways, and there is currently no consensus in the literature as to which definition of the fractional Laplacian in bounded domains is most appropriate for a given application. The Riesz (or integral) definition, for example, admits a nonlocal boundary condition, where the value of a function must be prescribed on the entire exterior of the domain in order to compute its fractional Laplacian. Yet, the spectral definition requires only the standard local boundary condition. These differences, among others, lead us to ask the question: “What is the fractional Laplacian?” Beginning from first principles, we compare several commonly used definitions of the fractional Laplacian theoretically, through their stochastic interpretations as well as their analytical properties. Next, we present quantitative comparisons using a sample of state-of-the-art methods. We discuss recent advances on nonzero boundary conditions and present new methods to discretize such boundary value problems: radial basis function collocation (for the Riesz fractional Laplacian) and nonharmonic lifting (for the spectral fractional Laplacian). In our numerical studies, we aim to compare different definitions on bounded domains using a collection of benchmark problems. We consider the fractional Poisson equation with both zero and nonzero boundary conditions, where the fractional Laplacian is defined according to the Riesz definition, the spectral definition, the directional definition, and the horizon-based nonlocal definition. We verify the accuracy of the numerical methods used in the approximations for each operator, and we focus on identifying differences in the boundary behaviors of solutions to equations posed with these different definitions. Through our efforts, we aim to further engage the research community in open problems and assist practitioners in identifying the most appropriate definition and computational approach to use for their mathematical models in addressing anomalous transport in diverse applications.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- National Natural Science Foundation of China (NNSFC); National Science Foundation (NSF); USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1574478
- Alternate ID(s):
- OSTI ID: 1579965
- Report Number(s):
- SAND--2019-13611J; 681226
- Journal Information:
- Journal of Computational Physics, Journal Name: Journal of Computational Physics Vol. 404; ISSN 0021-9991
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
On the fractional Laplacian of variable order
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
Fractional diffusion on bounded domains
Technical Report
·
Wed Sep 01 00:00:00 EDT 2021
·
OSTI ID:1821967
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
Technical Report
·
Wed Apr 15 00:00:00 EDT 2020
·
OSTI ID:1614899
Fractional diffusion on bounded domains
Journal Article
·
Thu Mar 12 20:00:00 EDT 2015
· Fractional Calculus and Applied Analysis
·
OSTI ID:1183102