A CONVERGENT FINITE DIFFERENCE METHOD FOR COMPUTING MINIMAL LAGRANGIAN GRAPHS
Document Type
Article
Publication Date
2-1-2022
Abstract
We consider the numerical construction of minimal Lagrangian graphs, which is related to recent applications in materials science, molecular engineering, and theoretical physics. It is known that this problem can be formulated as an additive eigenvalue problem for a fully nonlinear elliptic partial differential equation. We introduce and implement a two-step generalized finite difference method, which we prove converges to the solution of the eigenvalue problem. Numerical experiments validate this approach in a range of challenging settings. We further discuss the generalization of this new framework to Monge-Ampère type equations arising in optimal transport. This approach holds great promise for applications where the data does not naturally satisfy the mass balance condition, and for the design of numerical methods with improved stability properties.
Identifier
85123839747 (Scopus)
Publication Title
Communications on Pure and Applied Analysis
External Full Text Location
https://doi.org/10.3934/CPAA.2021182
e-ISSN
15535258
ISSN
15340392
First Page
393
Last Page
418
Issue
2
Volume
21
Grant
DMS-1751996
Fund Ref
National Science Foundation
Recommended Citation
Hamfeldt, Brittany Froese and Lesniewski, Jacob, "A CONVERGENT FINITE DIFFERENCE METHOD FOR COMPUTING MINIMAL LAGRANGIAN GRAPHS" (2022). Faculty Publications. 3122.
https://digitalcommons.njit.edu/fac_pubs/3122