Kinetic models for topological nearest-neighbor interactions

Article in a working paper series

Adrien Blanchet and Pierre Degond, "Kinetic models for topological nearest-neighbor interactions", IAST working paper, n. 17-65, March 2017.[Full text]

Abstract

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.

Keywords

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

IAST Discipline

Economics

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