Dissipation‐Dispersion Analysis of Fully Discrete Implicit Discontinuous Galerkin Methods and Application to Stiff Hyperbolic Problems

ABSTRACT The application of discontinuous Galerkin (DG) schemes to hyperbolic systems of conservation laws requires a careful interplay between space discretization, carried out with local polynomials and numerical fluxes at inter‐cells, and time‐integration to yield the final update. An important concern is how the scheme modifies the solution through the notions of numerical dissipation‐dispersion. As far as we know, no analysis of these artifacts has been considered for implicit integration of DG methods. The first part of this work intends to fill this gap, showing that the choice of the implicit Runge‐Kutta impacts deeply on the quality of the solution. We analyze one‐dimensional dissipation‐dispersion to select the best combination of the space‐time discretization for high Courant numbers. Then, we apply our findings to the integration of one‐dimensional stiff hyperbolic systems. Implicit schemes leverage superior stability properties enabling the selection of time‐steps based solely on accuracy requirements. High‐order schemes require the introduction of local space limiters which make the whole implicit scheme highly nonlinear. To mitigate the numerical complexity, we propose to use appropriate space limiters that can be precomputed on a first‐order prediction of the solution. Numerical experiments explore the performance of this technique on scalar equations and systems.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2025-12-02
DOI
https://doi.org/10.1002/num.70058
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Dissipation‐Dispersion Analysis of Fully Discrete Implicit Discontinuous Galerkin Methods and Application to Stiff Hyperbolic Problems

Gabriella Puppo, Maya Briani, Giuseppe Visconti
Numerical Methods for Partial Differential Equations
Advanced Numerical Methods in Computational Mathematics
article

Dissipation‐Dispersion Analysis of Fully Discrete Implicit Discontinuous Galerkin Methods and Application to Stiff Hyperbolic Problems

Gabriella Puppo, Maya Briani, Giuseppe Visconti
article en

Abstract

ABSTRACT The application of discontinuous Galerkin (DG) schemes to hyperbolic systems of conservation laws requires a careful interplay between space discretization, carried out with local polynomials and numerical fluxes at inter‐cells, and time‐integration to yield the final update. An important concern is how the scheme modifies the solution through the notions of numerical dissipation‐dispersion. As far as we know, no analysis of these artifacts has been considered for implicit integration of DG methods. The first part of this work intends to fill this gap, showing that the choice of the implicit Runge‐Kutta impacts deeply on the quality of the solution. We analyze one‐dimensional dissipation‐dispersion to select the best combination of the space‐time discretization for high Courant numbers. Then, we apply our findings to the integration of one‐dimensional stiff hyperbolic systems. Implicit schemes leverage superior stability properties enabling the selection of time‐steps based solely on accuracy requirements. High‐order schemes require the introduction of local space limiters which make the whole implicit scheme highly nonlinear. To mitigate the numerical complexity, we propose to use appropriate space limiters that can be precomputed on a first‐order prediction of the solution. Numerical experiments explore the performance of this technique on scalar equations and systems.

Numerical Methods for Partial Differential EquationsVol. 42(1)
Istituto per le Applicazioni del Calcolo Mauro Picone (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 61%
Advanced Numerical Methods in Computational Mathematics
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Dissipation‐Dispersion Analysis of Fully Discrete Implicit Discontinuous Galerkin Methods and Application to Stiff Hyperbolic Problems — Gabriella Puppo, Maya Briani, et al. · Numerical Methods for Partial Differential Equations (2025) | TGRS Research Map | TGRS