Issue |
ESAIM: M2AN
Volume 57, Number 3, May-June 2023
|
|
---|---|---|
Page(s) | 1589 - 1617 | |
DOI | https://doi.org/10.1051/m2an/2023032 | |
Published online | 26 May 2023 |
Study of an entropy dissipating finite volume scheme for a nonlocal cross-diffusion system
1
Inria, Univ. Lille, CNRS, UMR 8524–Laboratoire Paul Painlevé, 59000 Lille, France
2
Université de Technologie de Compiègne, LMAC, 60200 Compigne, France
* Corresponding author: antoine.zurek@utc.fr
Received:
5
July
2022
Accepted:
31
March
2023
In this paper we analyse a finite volume scheme for a nonlocal version of the Shigesada–Kawazaki–Teramoto (SKT) cross-diffusion system. We prove the existence of solutions to the scheme, derive qualitative properties of the solutions and prove its convergence. The proofs rely on a discrete entropy-dissipation inequality, discrete compactness arguments, and on the novel adaptation of the so-called duality method at the discrete level. Finally, thanks to numerical experiments, we investigate the influence of the nonlocality in the system: on convergence properties of the scheme, as an approximation of the local system and on the development of diffusive instabilities.
Mathematics Subject Classification: 65M08 / 65M12 / 35K51 / 35Q92 / 92D25
Key words: Nonlocal cross-diffusion / finite volume schemes / entropy method / convergence
© The authors. Published by EDP Sciences, SMAI 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.