Approximate solution of two dimensional disc-like systems by one dimensional reduction: an approach through the Green function formalism using the Finite Elements Method
Alejandro Ferrero, Juan Pablo Mallarino

TL;DR
This paper introduces a method to approximate solutions of 2D disc-like PDE systems by reducing them to 1D using Green functions and Fourier expansion, achieving high accuracy with finite element methods.
Contribution
The paper develops a novel approach combining Green function formalism and Fourier expansion for 2D PDEs in disc geometries, enabling near-exact solutions for non-separable systems.
Findings
Achieved numerical relative error below 10^{-6}
Successfully applied method to non-separable annulus and disc systems
Demonstrated effectiveness of FEM and FDM in the approach
Abstract
We present a comprehensive study for common second order PDE's in two dimensional disk-like systems and show how their solution can be approximated by finding the Green function of an effective one dimensional system. After elaborating on the formalism, we propose to secure an exact solution via a Fourier expansion of the Green function, which entails to solve an infinitely countable system of differential equations for the Green-Fourier modes that in the simplest case yields the source-free Green distribution. We present results on non separable systemsor such whose solution cannot be obtained by the usual variable separation techniqueon both annulus and disc geometries, and show how the resulting one dimensional Fourier modes potentially generate a near-exact solution. Numerical solutions will be obtained via finite differentiation using FDM or FEM with the three-point stencil…
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.
Taxonomy
TopicsNumerical methods in engineering · Numerical methods for differential equations · Differential Equations and Numerical Methods
