Transient $L^1$ error estimates for well-balanced schemes on non-resonant scalar balance laws

The ability of Well-Balanced (WB) schemes to capture very accurately steady-state regimes of non-resonant hyperbolic systems of balance laws has been thoroughly illustrated since its introduction by Greenberg and LeRoux \cite{grl} (see also the anterior WB Glimm scheme in \cite{we}). This paper aims at showing, by means of rigorous $C^0_t(L^1_x)$ estimates, that these schemes deliver an increased accuracy in transient regimes too. Namely, after explaining that for the vast majority of non-resonant scalar balance laws, the $C^0_t(L^1_x)$ error of conventional fractional-step \cite{tt2} numerical approximations grows {\bf exponentially} in time like $\exp(\max(g')t)\sqrt{ \DX}$ (as a consequence of the use of Gronwall's lemma), it is shown that WB schemes involving an exact Riemann solver suffer from a much smaller error amplification: thanks to strict hyperbolicity, their error grows at most only {\bf linearly} in time. Numerical results on several test-cases of increasing difficulty (including the classical LeVeque-Yee's benchmark problem \cite{ly} in the non-stiff case) confirm the analysis.

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Source ISSN: 0022-0396
Author Amadori, Debora, Gosse, Laurent
Maintainer CCSD
Last Updated May 14, 2026, 09:48 (UTC)
Created May 14, 2026, 09:48 (UTC)
Identifier hal-00781393
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Department of Information Engineering, Computer Science and Mathematics = Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica [L'Aquila] (DISIM) ; Università degli Studi dell'Aquila = University of L'Aquila = Université de L'Aquila (UNIVAQ)
creator Amadori, Debora
date 2013-05-14T00:00:00
harvest_object_id 2ff6a68d-fa28-45e9-8e00-d5fdcac1e2b8
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-02-07T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jde.2013.04.016
set_spec type:ART