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Mean-field models for segregation dynamics

Published online by Cambridge University Press:  23 December 2020

MARTIN BURGER
Affiliation:
Department Mathrmatik Cauerstr, 11 91058 Erlangen, Germany email: [email protected]
JAN-FREDERIK PIETSCHMANN
Affiliation:
Technische Universität Chemnitz, Reichenhainer Straße 41, Chemnitz, Germany email: [email protected]
HELENE RANETBAUER
Affiliation:
University of Vienna, Oskar-Morgenstern-Platz 1, Vienna, Austria emails: [email protected]; [email protected]
CHRISTIAN SCHMEISER
Affiliation:
University of Vienna, Oskar-Morgenstern-Platz 1, Vienna, Austria emails: [email protected]; [email protected]
MARIE-THERESE WOLFRAM
Affiliation:
University of Warwick, Coventry CV4 7AL, UK RICAM, Altenbergerstr. 69, 4040 Linz, Austria email: [email protected]

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.

Type
Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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