The multivariate theory of functional connections: Theory, proofs, and application in partial differential equations

32Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

This article presents a reformulation of the Theory of Functional Connections: a general methodology for functional interpolation that can embed a set of user-specified linear constraints. The reformulation presented in this paper exploits the underlying functional structure presented in the seminal paper on the Theory of Functional Connections to ease the derivation of these interpolating functionals-called constrained expressions-and provides rigorous terminology that lends itself to straightforward derivations of mathematical proofs regarding the properties of these constrained expressions. Furthermore, the extension of the technique to and proofs in n-dimensions is immediate through a recursive application of the univariate formulation. In all, the results of this reformulation are compared to prior work to highlight the novelty and mathematical convenience of using this approach. Finally, the methodology presented in this paper is applied to two partial differential equations with different boundary conditions, and, when data is available, the results are compared to state-of-the-art methods.

Cite

CITATION STYLE

APA

Leake, C., Johnston, H., & Mortari, D. (2020). The multivariate theory of functional connections: Theory, proofs, and application in partial differential equations. Mathematics, 8(8). https://doi.org/10.3390/MATH8081303

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free