Propagation of chaos for topological interactions
Pierre Degond, Mario Pulvirenti

TL;DR
This paper rigorously proves that a kinetic equation describing topological interactions among particles emerges as the mean-field limit of a finite particle system, confirming propagation of chaos under initial independence assumptions.
Contribution
It provides a rigorous derivation of the kinetic equation from a particle model with topological interactions, establishing propagation of chaos in the mean-field limit.
Findings
Kinetic equation derived from particle system
Propagation of chaos proven in the limit
Mean-field limit confirmed for topological interactions
Abstract
We consider a -particle model describing an alignment mechanism due to a topological interaction among the agents. We show that the kinetic equation, expected to hold in the mean-field limit , as following from the previous analysis in [A. Blanchet, P. Degond, Topological interactions in a Boltzmann-type framework, J. Stat. Phys., 163 (2016), pp. 41-60.] can be rigorously derived. This means that the statistical independence (propagation of chaos) is indeed recovered in the limit, provided it is assumed at time zero.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Gas Dynamics and Kinetic Theory
