Mean field models for segregation dynamics

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Abstract

In this paper, we derive and analyse mean-field models for the dynamics of groups of individuals undergoing a random walk. The random motion of individuals is only influenced by the perceived densities of the different groups present as well as the available space. All individuals have the tendency to stay within their own group and avoid the others. These interactions lead to the formation of aggregates in case of a single species and to segregation in the case of multiple species. We derive two different mean-field models, which are based on these interactions and weigh local and non-local effects differently. We discuss existence and stability properties of solutions for both models and illustrate the rich dynamics with numerical simulations.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
Library of Congress Subject Headings (LCSH): Mean field theory, Differential equations, Partial, Dynamics, Boundary value problems
Journal or Publication Title: European Journal of Applied Mathematics
Publisher: Cambridge University Press
ISSN: 0956-7925
Official Date: February 2022
Dates:
Date
Event
February 2022
Published
23 December 2020
Available
4 January 2019
Accepted
Volume: 33
Number: 1
Page Range: pp. 111-132
DOI: 10.1017/S095679252000039X
Status: Peer Reviewed
Publication Status: Published
Re-use Statement: This article has been accepted for publication in a revised form for publication in European Journal of Applied Mathematics. Link to Journal’s site on cambridge.org. https://doi.org/10.1017/S095679252000039X
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: © The Author(s), 2020. Published by Cambridge University Press
Date of first compliant deposit: 10 January 2019
Date of first compliant Open Access: 23 June 2021
RIOXX Funder/Project Grant:
Project/Grant ID
RIOXX Funder Name
Funder ID
EP/P01240X/1
[EPSRC] Engineering and Physical Sciences Research Council
W1245
Austrian Science Fund
SFB 65
Austrian Science Fund
W1261
Austrian Science Fund
1073/1-2
[DFG] Deutsche Forschungsgemeinschaft
Related URLs:
URI: https://wrap.warwick.ac.uk/112594/

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