Bound-preserving finite element approximations of the Keller-Segel equations
This paper aims to develop numerical approximations of the Keller{Segel equations that mimic at the discrete level the lower bounds and the energy law of the continuous problem. We solve these equations for two unknowns: the organism (or cell) density, which is a positive variable, and the chemoattr...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/168309 |
| Acceso en línea: | https://hdl.handle.net/11441/168309 https://doi.org/10.1142/S0218202523500148 |
| Access Level: | acceso abierto |
| Palabra clave: | Keller-Segel equations Nonlinear parabolic equations Shock detector Lower bounds Energy law |
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Bound-preserving finite element approximations of the Keller-Segel equationsBadia, SantiagoBonilla, JesúsGutiérrez Santacreu, Juan VicenteKeller-Segel equationsNonlinear parabolic equationsShock detectorLower boundsEnergy lawThis paper aims to develop numerical approximations of the Keller{Segel equations that mimic at the discrete level the lower bounds and the energy law of the continuous problem. We solve these equations for two unknowns: the organism (or cell) density, which is a positive variable, and the chemoattractant density, which is a non-negative variable. We propose two algorithms, which combine a stabilized nite element method and a semi-implicit time integration. The stabilization consists of a nonlinear arti cial di usion that employs a graph-Laplacian operator and a shock detector that localizes local extrema. As a result, both algorithms turn out to be nonlinear and can generate cell and chemoattractant numerical densities ful lling lower bounds. However, the rst algorithm requires a suitable constraint between the space and time discrete parameters, whereas the second one does not. We design the latter to attain a discrete energy law on acute meshes.World Scientific Public.Matemática Aplicada I2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/168309https://doi.org/10.1142/S0218202523500148reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésMathematical Models and Methods in Applied Sciences, 33 (3), 609-642.https://www.worldscientific.com/doi/10.1142/S0218202523500148info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1683092026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
Bound-preserving finite element approximations of the Keller-Segel equations |
| title |
Bound-preserving finite element approximations of the Keller-Segel equations |
| spellingShingle |
Bound-preserving finite element approximations of the Keller-Segel equations Badia, Santiago Keller-Segel equations Nonlinear parabolic equations Shock detector Lower bounds Energy law |
| title_short |
Bound-preserving finite element approximations of the Keller-Segel equations |
| title_full |
Bound-preserving finite element approximations of the Keller-Segel equations |
| title_fullStr |
Bound-preserving finite element approximations of the Keller-Segel equations |
| title_full_unstemmed |
Bound-preserving finite element approximations of the Keller-Segel equations |
| title_sort |
Bound-preserving finite element approximations of the Keller-Segel equations |
| dc.creator.none.fl_str_mv |
Badia, Santiago Bonilla, Jesús Gutiérrez Santacreu, Juan Vicente |
| author |
Badia, Santiago |
| author_facet |
Badia, Santiago Bonilla, Jesús Gutiérrez Santacreu, Juan Vicente |
| author_role |
author |
| author2 |
Bonilla, Jesús Gutiérrez Santacreu, Juan Vicente |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Matemática Aplicada I |
| dc.subject.none.fl_str_mv |
Keller-Segel equations Nonlinear parabolic equations Shock detector Lower bounds Energy law |
| topic |
Keller-Segel equations Nonlinear parabolic equations Shock detector Lower bounds Energy law |
| description |
This paper aims to develop numerical approximations of the Keller{Segel equations that mimic at the discrete level the lower bounds and the energy law of the continuous problem. We solve these equations for two unknowns: the organism (or cell) density, which is a positive variable, and the chemoattractant density, which is a non-negative variable. We propose two algorithms, which combine a stabilized nite element method and a semi-implicit time integration. The stabilization consists of a nonlinear arti cial di usion that employs a graph-Laplacian operator and a shock detector that localizes local extrema. As a result, both algorithms turn out to be nonlinear and can generate cell and chemoattractant numerical densities ful lling lower bounds. However, the rst algorithm requires a suitable constraint between the space and time discrete parameters, whereas the second one does not. We design the latter to attain a discrete energy law on acute meshes. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/11441/168309 https://doi.org/10.1142/S0218202523500148 |
| url |
https://hdl.handle.net/11441/168309 https://doi.org/10.1142/S0218202523500148 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Mathematical Models and Methods in Applied Sciences, 33 (3), 609-642. https://www.worldscientific.com/doi/10.1142/S0218202523500148 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf application/pdf |
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World Scientific Public. |
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World Scientific Public. |
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reponame:idUS. Depósito de Investigación de la Universidad de Sevilla instname:Universidad de Sevilla (US) |
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Universidad de Sevilla (US) |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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15,811543 |