Self-organized Hydrodynamics with density-dependent velocity
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Published version
Author(s)
Degond, PAA
Henkes, S
Yu, H
Type
Journal Article
Abstract
Motivated by recent experimental and computational results that
show a motility-induced clustering transition in self-propelled particle systems,
we study an individual model and its corresponding Self-Organized Hydrodynamic
model for collective behaviour that incorporates a density-dependent
velocity, as well as inter-particle alignment. The modal analysis of the hydrodynamic
model elucidates the relationship between the stability of the equilibria
and the changing velocity, and the formation of clusters. We find, in agreement
with earlier results for non-aligning particles, that the key criterion for stability
is (ρv(ρ))0 ≥ 0, i.e. a nondecreasing mass flux ρv(ρ) with respect to the density.
Numerical simulation for both the individual and hydrodynamic models
with a velocity function inspired by experiment demonstrates the validity of
the theoretical results.
show a motility-induced clustering transition in self-propelled particle systems,
we study an individual model and its corresponding Self-Organized Hydrodynamic
model for collective behaviour that incorporates a density-dependent
velocity, as well as inter-particle alignment. The modal analysis of the hydrodynamic
model elucidates the relationship between the stability of the equilibria
and the changing velocity, and the formation of clusters. We find, in agreement
with earlier results for non-aligning particles, that the key criterion for stability
is (ρv(ρ))0 ≥ 0, i.e. a nondecreasing mass flux ρv(ρ) with respect to the density.
Numerical simulation for both the individual and hydrodynamic models
with a velocity function inspired by experiment demonstrates the validity of
the theoretical results.
Date Issued
2016-11-01
Date Acceptance
2016-07-01
Citation
Kinetic and Related Models, 2016, 10 (1), pp.193-213
ISSN
1937-5093
Publisher
American Institute of Mathematical Sciences (AIMS)
Start Page
193
End Page
213
Journal / Book Title
Kinetic and Related Models
Volume
10
Issue
1
Copyright Statement
© 2016 American Institute of Mathematical Sciences. This article is licensed
under a Creative Commons Attribution 3.0 Unported License. See
http://creativecommons.org/
licenses/by/3.0/
under a Creative Commons Attribution 3.0 Unported License. See
http://creativecommons.org/
licenses/by/3.0/
Sponsor
The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Grant Number
WM130048
EP/M006883/1
Subjects
Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
Collective dynamics
active matter
self-organization
hydrodynamic limit
alignment interaction
motility induced phase separation
density-dependent velocity
relaxation model
clustering
COLLECTIVE MOTION
DRIVEN PARTICLES
BEHAVIOR
SYSTEM
Applied Mathematics
Publication Status
Published