Spherical Basis Functions in Hardy Spaces with Localization Constraints
Numerical Analysis
2023-07-06 v1 Numerical Analysis
Abstract
Subspaces obtained by the orthogonal projection of locally supported square-integrable vector fields onto the Hardy spaces and , respectively, play a role in various inverse potential field problems since they characterize the uniquely recoverable components of the underlying sources. Here, we consider approximation in these subspaces by a particular set of spherical basis functions. Error bounds are provided along with further considerations on norm-minimizing vector fields that satisfy the underlying localization constraint. The new aspect here is that the used spherical basis functions are themselves members of the subspaces under consideration.
Cite
@article{arxiv.2307.02220,
title = {Spherical Basis Functions in Hardy Spaces with Localization Constraints},
author = {Christian Gerhards and Xinpeng Huang},
journal= {arXiv preprint arXiv:2307.02220},
year = {2023}
}