NANAFeb 21, 2019

Convergence of fully discrete implicit and semi-implicit approximations of nonlinear parabolic equations

arXiv:1902.081226 citationsh-index: 5
Originality Incremental advance
AI Analysis

Provides rigorous convergence guarantees for a popular numerical scheme, addressing a known bottleneck in the analysis of semi-implicit methods for nonlinear parabolic problems.

The paper proves convergence of implicit and semi-implicit fully discrete approximations for nonlinear parabolic equations involving the p-Laplace operator, establishing a convergence condition that relates time step size to regularization parameter independently of spatial resolution.

The article addresses the convergence of implicit and semi-implicit, fully discrete approximations of a class of nonlinear parabolic evolution problems. Such schemes are popular in the numerical solution of evolutions defined with the $p$-Laplace operator since the latter lead to linear systems of equations in the time steps. The semi-implicit treatment of the operator requires introducing a regularization parameter that has to be suitably related to other discretization parameters. To avoid restrictive, unpractical conditions, a careful convergence analysis has to be carried out. The arguments presented in this article show that convergence holds under a moderate condition that relates the step size to the regularization parameter but which is independent of the spatial resolution.

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