2009
DOI: 10.4310/cms.2009.v7.n2.a9
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Emergence of time-asymptotic flocking in a stochastic Cucker-Smale system

Abstract: We study a stochastic Cucker-Smale flocking system in which particles interact with the environment through white noise. We provide the definition of flocking for the stochastic system, and show that when the communication rate is constant, the system exhibits a flocking behavior independent of the initial configurations. For the case of a radially symmetric communication rate with a positive lower bound, we show that the relative fluctuations of the particle velocity around the mean velocity have a uniformly … Show more

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Cited by 190 publications
(118 citation statements)
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“…An SDE model was presented there without analysis. A subsequent paper [5] provided numerical evidence for flocking states. In these papers, the SDE approach consists of a Langevin-type model with coordinate-dependent friction and additive (typically uniform) white noise, that is they take the form…”
Section: Stochastic Cucker-smale Modelmentioning
confidence: 99%
See 2 more Smart Citations
“…An SDE model was presented there without analysis. A subsequent paper [5] provided numerical evidence for flocking states. In these papers, the SDE approach consists of a Langevin-type model with coordinate-dependent friction and additive (typically uniform) white noise, that is they take the form…”
Section: Stochastic Cucker-smale Modelmentioning
confidence: 99%
“…When we say that µ is an invariant measure of the SDE (5) or that the latter preserves the probability measure µ, we mean that the probability density ρ is a stationary solution of the Fokker-Planck equation associated to the SDE, i.e.,…”
Section: Ergodicity and Convergence In Lawmentioning
confidence: 99%
See 1 more Smart Citation
“…The robustness of the Cucker-Smale model to these noises is being lively studied in mathematics. For example, the Cucker-Smale system is proved to keep flocking in the presence of constant-strength noises (Ha, Lee, & Levy, 2009) and multiplicative noises (Ahn & Ha, 2010 …”
Section: Robustness Of Cultural Clustersmentioning
confidence: 99%
“…The reason why we consider the discrete p-Laplacian on weighted graphs is that it is one of the best methods to represent linear or nonlinear phenomena with network structures (for examples, see [6,8,9,17,18,19]). …”
Section: Introductionmentioning
confidence: 99%