Projection-Based Finite Elements for Nonlinear Function Spaces
Numerical Analysis
2018-03-20 v1
Abstract
We introduce a novel type of approximation spaces for functions with values in a nonlinear manifold. The discrete functions are constructed by piecewise polynomial interpolation in a Euclidean embedding space, and then projecting pointwise onto the manifold. We show optimal interpolation error bounds with respect to Lebesgue and Sobolev norms. Additionally, we show similar bounds for the test functions, i.e., variations of discrete functions. Combining these results with a nonlinear C\'ea lemma, we prove optimal and discretization error bounds for harmonic maps from a planar domain into a smooth manifold. All these error bounds are also verified numerically.
Cite
@article{arxiv.1803.06576,
title = {Projection-Based Finite Elements for Nonlinear Function Spaces},
author = {Philipp Grohs and Hanne Hardering and Oliver Sander and Markus Sprecher},
journal= {arXiv preprint arXiv:1803.06576},
year = {2018}
}