2022
DOI: 10.1137/20m1343853
|View full text |Cite
|
Sign up to set email alerts
|

Local Convergence of the FEM for the Integral Fractional Laplacian

Abstract: We prove exponential convergence in the energy norm of hp finite element discretizations for the integral fractional diffusion operator of order 2s ∈ (0, 2) subject to homogeneous Dirichlet boundary conditions in bounded polygonal domains Ω ⊂ R 2 . Key ingredient in the analysis are the weighted analytic regularity from [15] and meshes that feature anisotropic geometric refinement towards ∂Ω.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2
1

Relationship

2
6

Authors

Journals

citations
Cited by 15 publications
(7 citation statements)
references
References 43 publications
1
6
0
Order By: Relevance
“…[BLN22] and the references there), sharp regularity for variational solutions of (1.1) will imply corresponding convergence rate estimates of Galerkin approximations. Similar to the two-dimensional case, where analytic regularity of solutions to (1.1) on bounded, polygonal domains Ω, obtained in [FMMS22], implied exponential convergence bounds for corresponding hp FE Galerkin approximations in [FMMS23], the weighted analytic regularity estimates obtained in the present paper form the foundation for proving exponential rates of convergence of suitable families of hp-FEM in polyhedral domains Ω in a forthcoming work.…”
Section: Impact On Numerical Methodssupporting
confidence: 56%
See 2 more Smart Citations
“…[BLN22] and the references there), sharp regularity for variational solutions of (1.1) will imply corresponding convergence rate estimates of Galerkin approximations. Similar to the two-dimensional case, where analytic regularity of solutions to (1.1) on bounded, polygonal domains Ω, obtained in [FMMS22], implied exponential convergence bounds for corresponding hp FE Galerkin approximations in [FMMS23], the weighted analytic regularity estimates obtained in the present paper form the foundation for proving exponential rates of convergence of suitable families of hp-FEM in polyhedral domains Ω in a forthcoming work.…”
Section: Impact On Numerical Methodssupporting
confidence: 56%
“…Directions for natural extensions of the present results in three space dimensions suggest themselves: first, the presently developed proof and the geometric structure of the weights in Ω should facilitate analogous weighted analytic regularity results for integral fractional diffusion such as (−∇ • A(x)∇) s , with an anisotropic diffusion coefficient A(•) being a uniformly positive definite d×d matrix, again with analytic in Ω entries. Likewise, the exponential convergence rate bound established in [FMMS23] in the two-dimensional setting will generalize to the presently considered, polyhedral setting, albeit with rate given by C exp(−bN 1/6 ), with N denoting the number of the degrees of freedom of the hp-FE subspace, and with constants b, C > 0 depending on Ω, f but not on N . Here, the larger number of geometric situations for ≥ 3 edges meeting in one, common vertex of ∂Ω will mandate significant extensions and additional technical issues as compared to the proof in [FMMS23].…”
Section: Discussionmentioning
confidence: 89%
See 1 more Smart Citation
“…Numerical methods for fractional PDEs on bounded domains are fairly developed, as can e.g. be seen in the survey articles [BBN + 18, DDG + 20, LPG + 20] and we especially mention approximations based on the finite element method (FEM), [AB17, BMN + 19, ABH19,FKM22]. A key limitation to the FEM is the restriction to bounded computational domains.…”
Section: Impact On Numerical Methodsmentioning
confidence: 99%
“…In this article, we leverage our weighted analytic regularity estimates to design an exponentially convergent method by means of hp-finite element approximation in one dimension. The generalization to two dimensions is the topic of our follow-up work [12].…”
Section: Introductionmentioning
confidence: 99%