Sparse spectral methods for partial differential equations on spherical caps
Author(s) -
Ben Snowball,
Sheehan Olver
Publication year - 2021
Publication title -
transactions of mathematics and its applications
Language(s) - English
Resource type - Journals
ISSN - 2398-4945
DOI - 10.1093/imatrm/tnab001
Subject(s) - mathematics , partial differential equation , orthogonal polynomials , biharmonic equation , spectral method , spherical harmonics , classical orthogonal polynomials , univariate , jacobi polynomials , mathematical analysis , multivariate statistics , boundary value problem , statistics
In recent years, sparse spectral methods for solving partial differential equations have been derived using hierarchies of classical orthogonal polynomials (OPs) on intervals, disks, disk-slices and triangles. In this work, we extend the methodology to a hierarchy of non-classical multivariate OPs on spherical caps. The entries of discretizations of partial differential operators can be effectively computed using formulae in terms of (non-classical) univariate OPs. We demonstrate the results on partial differential equations involving the spherical Laplacian and biharmonic operators, showing spectral convergence with discretizations that can be made well conditioned using a simple preconditioner.
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