Document de travail

Kinetic models for topological nearest-neighbor interactions

Adrien Blanchet et Pierre Degond

Résumé

We consider systems of agents interacting through topological interactions. These have been shown to play an important part in animal and human behavior. Precisely, the system consists of a finite number of particles characterized by their positions and velocities. At random times a randomly chosen particle, the follower adopts the velocity of its closest neighbor, the leader. We study the limit of a system size going to infinity and, under the assumption of propagation of chaos, show that the limit kinetic equation is a non-standard spatial diffusion equation for the particle distribution function. We also study the case wherein the particles interact with their K closest neighbors and show that the corresponding kinetic equation is the same. Finally, we prove that these models can be seen as a singular limit of the smooth rank-based model previously studied in [10]. The proofs are based on a combinatorial interpretation of the rank as well as some concentration of measure arguments.

Mots-clés

rank-based interaction; spatial diffusion equation; continuity equation; concentration of measure;

Remplacé par

Adrien Blanchet et Pierre Degond, « Kinetic models for topological nearest-neighbor interactions », Journal of Statistical Physics, vol. 169, n° 5, décembre 2017, p. 929–950.

Voir aussi

Publié dans

IAST Working Paper, n° 17-65, mars 2017