Propagation of chaos for aggregation equations with no-flux boundary conditions and sharp sensing zones

  • Choi, Young-Pil
  • Salem, Samir
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초록

We consider an interacting N-particle system with the vision geometrical constraints and reflected noises, proposed as a model for collective behavior of individuals. We rigorously derive a continuity-type of mean-field equation with discontinuous kernels and the normal reflecting boundary conditions from that stochastic particle system as the number of particles N goes to infinity. More precisely, we provide a quantitative estimate of the convergence in law of the empirical measure associated to the particle system to a probability measure which possesses a density which is a weak solution to the continuity equation. This extends previous results on an interacting particle system with bounded and Lipschitz continuous drift terms and normal reflecting boundary conditions by Sznitman [J. Funct. Anal. 56 (1984) 311-336] to that one with discontinuous kernels.

키워드

Mean-field limitdiffusioncollective behavioraggregation equationsno-flux boundary conditionpropagation of chaossensitivity regionCUCKER-SMALE MODELSTOCHASTIC DIFFERENTIAL-EQUATIONSMEAN-FIELD LIMITWASSERSTEIN DISTANCEREFLECTING BOUNDARYFLOCKING DYNAMICSEXISTENCEBEHAVIORPARTICLEFORCES
제목
Propagation of chaos for aggregation equations with no-flux boundary conditions and sharp sensing zones
저자
Choi, Young-PilSalem, Samir
DOI
10.1142/S0218202518500070
발행일
2018-02
유형
Article
저널명
Mathematical Models and Methods in Applied Sciences
28
2
페이지
223 ~ 258