A high-order local discontinuous Galerkin method for the $p$-Laplace equation

Fuente: arXiv
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Auteurs principaux: Wu, Yue, Xu, Yan
Format: Preprint
Publié: 2023
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author Wu, Yue
Xu, Yan
author_facet Wu, Yue
Xu, Yan
contents We study the high-order local discontinuous Galerkin (LDG) method for the $p$-Laplace equation. We reformulate our spatial discretization as an equivalent convex minimization problem and use a preconditioned gradient descent method as the nonlinear solver. For the first time, a weighted preconditioner that provides $hk$-independent convergence is applied in the LDG setting. For polynomial order $k \geqslant 1$, we rigorously establish the solvability of our scheme and provide a priori error estimates in a mesh-dependent energy norm. Our error estimates are under a different and non-equivalent distance from existing LDG results. For arbitrarily high-order polynomials under the assumption that the exact solution has enough regularity, the error estimates demonstrate the potential for high-order accuracy. Our numerical results exhibit the desired convergence speed facilitated by the preconditioner, and we observe best convergence rates in gradient variables in alignment with linear LDG, and optimal rates in the primal variable when $1 < p \leqslant 2$.
format Preprint
id arxiv_https___arxiv_org_abs_2311_09119
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A high-order local discontinuous Galerkin method for the $p$-Laplace equation
Wu, Yue
Xu, Yan
Numerical Analysis
65N30, 65N15, 65N22, 65N12
We study the high-order local discontinuous Galerkin (LDG) method for the $p$-Laplace equation. We reformulate our spatial discretization as an equivalent convex minimization problem and use a preconditioned gradient descent method as the nonlinear solver. For the first time, a weighted preconditioner that provides $hk$-independent convergence is applied in the LDG setting. For polynomial order $k \geqslant 1$, we rigorously establish the solvability of our scheme and provide a priori error estimates in a mesh-dependent energy norm. Our error estimates are under a different and non-equivalent distance from existing LDG results. For arbitrarily high-order polynomials under the assumption that the exact solution has enough regularity, the error estimates demonstrate the potential for high-order accuracy. Our numerical results exhibit the desired convergence speed facilitated by the preconditioner, and we observe best convergence rates in gradient variables in alignment with linear LDG, and optimal rates in the primal variable when $1 < p \leqslant 2$.
title A high-order local discontinuous Galerkin method for the $p$-Laplace equation
topic Numerical Analysis
65N30, 65N15, 65N22, 65N12
url https://arxiv.org/abs/2311.09119