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Kinetic theory of particle interactions mediated by dynamical networks

Barré, J; Degond, P; Zatorska, E; (2017) Kinetic theory of particle interactions mediated by dynamical networks. Multiscale Modeling and Simulation , 15 (3) pp. 1294-1323. 10.1137/16M1085310. Green open access

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Abstract

We provide a detailed multiscale analysis of a system of particles interacting through a dynamical network of links. Starting from a microscopic model, via the mean field limit, we formally derive coupled kinetic equations for the particle and link densities, following the approach of [P. Degond, F. Delebecque, and D. Peurichard, Math. Models Methods Appl. Sci., 26 (2016), pp. 269–318]. Assuming that the process of remodeling the network is very fast, we simplify the description to a macroscopic model taking the form of a single aggregation-diffusion equation for the density of particles. We analyze qualitatively this equation, addressing the stability of a homogeneous distribution of particles for a general potential. For the Hookean potential we obtain a precise condition for the phase transition, and, using the central manifold reduction, we characterize the type of bifurcation at the instability onset.

Type: Article
Title: Kinetic theory of particle interactions mediated by dynamical networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1137/16M1085310
Publisher version: http://dx.doi.org/10.1137/16M1085310
Language: English
Additional information: © 2017 SIAM. Published by SIAM under the terms of the Creative Commons 4.0 license
Keywords: Individual-based model, meanfield limit, Fokker–Planck, macroscopic limit, aggregation-diffusion, linear stability, phase transition
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10041390
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