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Bibliographic Details
Main Authors: Bessemoulin-Chatard, Marianne, Mathis, Hélène
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.03268
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author Bessemoulin-Chatard, Marianne
Mathis, Hélène
author_facet Bessemoulin-Chatard, Marianne
Mathis, Hélène
contents This paper deals with the diffusive limit of the Jin and Xin model and its approximation by an asymptotic preserving finite volume scheme. At the continuous level, we determine a convergence rate to the diffusive limit by means of a relative entropy method. Considering a semi-discrete approximation (discrete in space and continuous in time), we adapt the method to this semi-discrete framework and establish that the approximated solutions converge towards the discrete convection-diffusion limit with the same convergence rate.
format Preprint
id arxiv_https___arxiv_org_abs_2406_03268
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Relative Entropy for the Numerical Diffusive Limit of the Linear Jin-Xin System
Bessemoulin-Chatard, Marianne
Mathis, Hélène
Numerical Analysis
This paper deals with the diffusive limit of the Jin and Xin model and its approximation by an asymptotic preserving finite volume scheme. At the continuous level, we determine a convergence rate to the diffusive limit by means of a relative entropy method. Considering a semi-discrete approximation (discrete in space and continuous in time), we adapt the method to this semi-discrete framework and establish that the approximated solutions converge towards the discrete convection-diffusion limit with the same convergence rate.
title Relative Entropy for the Numerical Diffusive Limit of the Linear Jin-Xin System
topic Numerical Analysis
url https://arxiv.org/abs/2406.03268