Finite element approximation of the Levi-Civita connection and its curvature in two dimensions
Yakov Berchenko-Kogan, Evan S. Gawlik

TL;DR
This paper develops finite element methods using Regge finite elements to approximate the Levi-Civita connection and curvature on 2D manifolds, ensuring convergence in a distributional sense.
Contribution
It introduces a novel finite element approach for discretizing connections and curvature in 2D, handling low regularity via distributional formulations and proving convergence.
Findings
Distributional curvature and connection converge to smooth counterparts with mesh refinement
Projection operators commute with linearized differential operators, preserving complex structures
Finite element approximations are valid in a distributional framework for low-regularity metrics
Abstract
We construct finite element approximations of the Levi-Civita connection and its curvature on triangulations of oriented two-dimensional manifolds. Our construction relies on the Regge finite elements, which are piecewise polynomial symmetric (0,2)-tensor fields possessing single-valued tangential-tangential components along element interfaces. When used to discretize the Riemannian metric tensor, these piecewise polynomial tensor fields do not possess enough regularity to define connections and curvature in the classical sense, but we show how to make sense of these quantities in a distributional sense. We then show that these distributional quantities converge in certain dual Sobolev norms to their smooth counterparts under refinement of the triangulation. We also discuss projections of the distributional curvature and distributional connection onto piecewise polynomial finite element…
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
TopicsModel Reduction and Neural Networks · Advanced Neuroimaging Techniques and Applications · Blood properties and coagulation
