An Unconditionally Stable Space-Time FE Method for the Korteweg-de Vries Equation
Eirik Valseth, Clint Dawson

TL;DR
This paper introduces an unconditionally stable finite element method for the Korteweg-de Vries equation, enabling stable space-time solutions without CFL constraints, with demonstrated optimal convergence and adaptive refinement capabilities.
Contribution
The paper presents a novel AVS-FE method combining global stability with classical FE solutions for the KdV equation, using a saddle point system and adaptive mesh refinement.
Findings
Unconditionally stable for linear and nonlinear KdV equations
Achieves optimal convergence rates in numerical tests
Supports adaptive mesh refinement in space and time
Abstract
We introduce an unconditionally stable finite element (FE) method, the automatic variationally stable FE (AVS-FE) method for the numerical analysis of the Korteweg-de Vries (KdV) equation. The AVS-FE method is a Petrov-Galerkin method which employs the concept of optimal discontinuous test functions of the discontinuous Petrov- Galerkin (DPG) method. However, since AVS-FE method is a minimum residual method, we establish a global saddle point system instead of computing optimal test functions element-by-element. This system allows us to seek both the approximate solution of the KdV initial boundary value problem (IBVP) and a Riesz representer of the approximation error. The AVS-FE method distinguishes itself from other minimum residual methods by using globally continuous Hilbert spaces, such as H1, while at the same time using broken Hilbert spaces for the test. Consequently, the…
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