Sparse spectral and p-finite element methods for partial differential equations on disk slices and trapeziums
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Published version
Author(s)
Snowball, Ben
Olver, Sheehan
Type
Journal Article
Abstract
Sparse spectral methods for solving partial differential equations have been derivedin recent years using hierarchies of classical orthogonal polynomials on intervals, disks,and triangles. In this work we extend this methodology to a hierarchy of non-classicalorthogonal polynomials on disk slices and trapeziums. This builds on the observationthat sparsity is guaranteed due to the boundary being defined by an algebraic curve,and that the entries of partial differential operators can be determined using formulaein terms of (non-classical) univariate orthogonal polynomials. We apply the frameworkto solving the Poisson, variable coefficient Helmholtz, and Biharmonic equations. Inthis paper we focus on constant Dirichlet boundary conditions, as well as zero Dirichletand Neumann boundary conditions, with other types of boundary conditions requiringfuture work.
Date Issued
2020-07
Date Acceptance
2020-01-22
Citation
Studies in Applied Mathematics, 2020, 145 (1), pp.3-35
ISSN
0022-2526
Publisher
Wiley
Start Page
3
End Page
35
Journal / Book Title
Studies in Applied Mathematics
Volume
145
Issue
1
Copyright Statement
© 2020 The Authors. Studies in Applied Mathematics published by Wiley Periodicals LLC
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Sponsor
The Leverhulme Trust
Identifier
https://onlinelibrary.wiley.com/doi/full/10.1111/sapm.12303
Grant Number
RPG-2019-144
Subjects
Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
numerical methods
partial differential equations
SHALLOW-WATER EQUATIONS
Mathematical Physics
0102 Applied Mathematics
Publication Status
Published
Date Publish Online
2020-06-10