Multidimensional Summation-By-Parts Operators: General Theory and Application to Simplex Elements
Jason E. Hicken, David C. Del Rey Fern\'andez, and David W. Zingg

TL;DR
This paper develops a general theory for multidimensional Summation-By-Parts (SBP) operators, extending their application beyond tensor product domains, and demonstrates their stability and accuracy on simplex elements like triangles and tetrahedra.
Contribution
It introduces a new definition for multi-dimensional SBP operators, constructs examples for simplex elements, and discusses their properties and assembly process for global domains.
Findings
Multi-dimensional SBP operators exist if a positive-weight cubature rule exists.
Diagonal-norm SBP operators are time stable and accurate.
Numerical tests confirm stability and accuracy on simplex domains.
Abstract
Summation-by-parts (SBP) finite-difference discretizations share many attractive properties with Galerkin finite-element methods (FEMs), including time stability and superconvergent functionals; however, unlike FEMs, SBP operators are not completely determined by a basis, so the potential exists to tailor SBP operators to meet different objectives. To date, application of high-order SBP discretizations to multiple dimensions has been limited to tensor product domains. This paper presents a definition for multi-dimensional SBP finite-difference operators that is a natural extension of one-dimensional SBP operators. Theoretical implications of the definition are investigated for the special case of a diagonal norm (mass) matrix. In particular, a diagonal-norm SBP operator exists on a given domain if and only if there is a cubature rule with positive weights on that domain and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
