Variational approximation of data in manifolds using Geometric Finite ElementsMS31

We study the discretization of maps from a Euclidean domain into a smooth Riemannian manifold minimizing an elliptic energy. The discretization is given by a finite-dimensional approximation of the set of functions, such that the target manifold is neither embedded nor approximated. In particular, we discuss two constructions, namely geodesic and projection-based finite elements. Both have the properties needed for an error analysis comparable to standard Euclidean finite elements.

This presentation is part of Minisymposium “MS31 - Variational Approaches for Regularizing Nonlinear Geometric Data (3 parts)
organized by: Martin Storath (Universität Heidelberg) , Martin Holler (École Polytechnique, Université Paris Saclay) , Andreas Weinmann (Hochschule Darmstadt) .

Hanne Hardering (TU Dresden)
a priori error estimates, geometric finite elements