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Large-scale dynamics of self-propelled particles moving through obstacles: model derivation and pattern formation
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Title: | Large-scale dynamics of self-propelled particles moving through obstacles: model derivation and pattern formation |
Authors: | Aceves Sanchez, P Degond, P Keaveny, E Manhart, A Merino Aceituno, S Peurichard, D |
Item Type: | Journal Article |
Abstract: | 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 non linear, 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. |
Issue Date: | 25-Sep-2020 |
Date of Acceptance: | 8-Sep-2020 |
URI: | http://hdl.handle.net/10044/1/82755 |
DOI: | 10.1007/s11538-020-00805-z |
ISSN: | 0092-8240 |
Publisher: | Springer |
Start Page: | 1 |
End Page: | 39 |
Journal / Book Title: | Bulletin of Mathematical Biology |
Volume: | 82 |
Issue: | 129 |
Copyright Statement: | © The Author(s) 2020. Open Access This 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/. |
Sponsor/Funder: | The Royal Society Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | WM130048 EP/M006883/1 EP/P013651/1 |
Keywords: | Science & Technology Life Sciences & Biomedicine Biology Mathematical & Computational Biology Life Sciences & Biomedicine - Other Topics Self-propelled particles Hydrodynamic limit Pattern formation Stability analysis Gradient flow Non-local interactions EQUATIONS DRIVEN SIMULATIONS EVOLUTION SYSTEM Gradient flow Hydrodynamic limit Non-local interactions Pattern formation Self-propelled particles Stability analysis Mathematical Concepts Models, Theoretical Molecular Dynamics Simulation Particle Size Particle Size Models, Theoretical Mathematical Concepts Molecular Dynamics Simulation math.AP math.AP cond-mat.soft q-bio.CB 35Q70, 82C05, 82C22, 82C70, 92B25, 92C35, 76S05 01 Mathematical Sciences 06 Biological Sciences Bioinformatics |
Publication Status: | Published |
Online Publication Date: | 2020-09-25 |
Appears in Collections: | Applied Mathematics and Mathematical Physics Faculty of Natural Sciences Mathematics |
This item is licensed under a Creative Commons License