Spatiospectral concentration of vector fields on a sphere
Alain Plattner, Frederik J. Simons

TL;DR
This paper develops a method to construct spherical vector bases that are both bandlimited and spatially concentrated, enabling efficient analysis of vector fields on the sphere in various scientific and engineering applications.
Contribution
It introduces a new approach to create spherical vector bases with optimal spatial and spectral concentration, extending scalar Slepian functions to vector fields on the sphere.
Findings
Eigenvalue problem decouples into radial and tangential components.
Efficient diagonalization for regions with symmetry like polar caps.
Number of well-concentrated fields estimated by a Shannon number.
Abstract
We construct spherical vector bases that are bandlimited and spatially concentrated, or, alternatively, spacelimited and spectrally concentrated, suitable for the analysis and representation of real-valued vector fields on the surface of the unit sphere, as arises in the natural and biomedical sciences, and engineering. Building on the original approach of Slepian, Landau, and Pollak we concentrate the energy of our function bases into arbitrarily shaped regions of interest on the sphere, and within certain bandlimits in the vector spherical-harmonic domain. As with the concentration problem for scalar functions on the sphere, which has been treated in detail elsewhere, a Slepian vector basis can be constructed by solving a finite-dimensional algebraic eigenvalue problem. The eigenvalue problem decouples into separate problems for the radial and tangential components. For regions with…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Algebraic and Geometric Analysis · Numerical methods in inverse problems
