Spherical Basis Functions in Hardy Spaces with Localization Constraints
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Subspaces obtained by the orthogonal projection of locally supported square-integrable vector fields onto the Hardy spaces H_+(𝕊) and H_-(𝕊), 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.
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