FEM on nonuniform meshes for nonlocal Laplacian: Semi-analytic Implementation in One Dimension
Hongbin Chen, Changtao Sheng, and Li-Lian Wang

TL;DR
This paper introduces a semi-analytic finite element method for nonlocal Laplacian problems on nonuniform meshes in one dimension, enabling explicit computation of stiffness matrix entries and analyzing limiting behaviors.
Contribution
It develops a semi-analytic FEM approach for nonlocal Laplacian on nonuniform meshes, bridging to classical FEM in limiting cases, and is the first of its kind in one dimension.
Findings
Explicit integral expressions for stiffness matrix entries.
Automatic transition to classical FEM in limiting cases.
Numerical experiments validating the approach.
Abstract
In this paper, we compute stiffness matrix of the nonlocal Laplacian discretized by the piecewise linear finite element on nonuniform meshes, and implement the FEM in the Fourier transformed domain. We derive useful integral expressions of the entries that allow us to explicitly or semi-analytically evaluate the entries for various interaction kernels. Moreover, the limiting cases of the nonlocal stiffness matrix when the interactional radius or automatically lead to integer and fractional FEM stiffness matrices, respectively, and the FEM discretisation is intrinsically compatible. We conduct ample numerical experiments to study and predict some of its properties and test on different types of nonlocal problems. To the best of our knowledge, such a semi-analytic approach has not been explored in literature even in the one-dimensional case.
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.
Taxonomy
TopicsNumerical methods in engineering · Advanced Numerical Methods in Computational Mathematics · Contact Mechanics and Variational Inequalities
