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Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation
We model and study the patterns created through the interaction of collectively moving self-propelled particles (SPPs) and elastically tethered obstacles. Simulations of an individual-based model reveal at least three distinct large-scale patterns: travelling bands, trails and moving clusters. This...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519010/ https://www.ncbi.nlm.nih.gov/pubmed/32978682 http://dx.doi.org/10.1007/s11538-020-00805-z |
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author | Aceves-Sanchez, P. Degond, P. Keaveny, E. E. Manhart, A. Merino-Aceituno, S. Peurichard, D. |
author_facet | Aceves-Sanchez, P. Degond, P. Keaveny, E. E. Manhart, A. Merino-Aceituno, S. Peurichard, D. |
author_sort | Aceves-Sanchez, P. |
collection | PubMed |
description | We model and study the patterns created through the interaction of collectively moving self-propelled particles (SPPs) and elastically tethered obstacles. Simulations of an individual-based model reveal at least three distinct large-scale patterns: travelling bands, trails and moving clusters. This motivates the derivation of a macroscopic partial differential equations model for the interactions between the self-propelled particles and the obstacles, for which we assume large tether stiffness. The result is a coupled system of nonlinear, non-local partial differential equations. Linear stability analysis shows that patterning is expected if the interactions are strong enough and allows for the predictions of pattern size from model parameters. The macroscopic equations reveal that the obstacle interactions induce short-ranged SPP aggregation, irrespective of whether obstacles and SPPs are attractive or repulsive. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11538-020-00805-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7519010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-75190102020-10-13 Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation Aceves-Sanchez, P. Degond, P. Keaveny, E. E. Manhart, A. Merino-Aceituno, S. Peurichard, D. Bull Math Biol Original Article We model and study the patterns created through the interaction of collectively moving self-propelled particles (SPPs) and elastically tethered obstacles. Simulations of an individual-based model reveal at least three distinct large-scale patterns: travelling bands, trails and moving clusters. This motivates the derivation of a macroscopic partial differential equations model for the interactions between the self-propelled particles and the obstacles, for which we assume large tether stiffness. The result is a coupled system of nonlinear, non-local partial differential equations. Linear stability analysis shows that patterning is expected if the interactions are strong enough and allows for the predictions of pattern size from model parameters. The macroscopic equations reveal that the obstacle interactions induce short-ranged SPP aggregation, irrespective of whether obstacles and SPPs are attractive or repulsive. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11538-020-00805-z) contains supplementary material, which is available to authorized users. Springer US 2020-09-25 2020 /pmc/articles/PMC7519010/ /pubmed/32978682 http://dx.doi.org/10.1007/s11538-020-00805-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Aceves-Sanchez, P. Degond, P. Keaveny, E. E. Manhart, A. Merino-Aceituno, S. Peurichard, D. Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation |
title | Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation |
title_full | Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation |
title_fullStr | Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation |
title_full_unstemmed | Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation |
title_short | Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation |
title_sort | large-scale dynamics of self-propelled particles moving through obstacles: model derivation and pattern formation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519010/ https://www.ncbi.nlm.nih.gov/pubmed/32978682 http://dx.doi.org/10.1007/s11538-020-00805-z |
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