ON MEAN FIELD SYSTEMS WITH MULTI-CLASSES

DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS(2020)

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摘要
This work focuses on stochastic systems of weakly interacting particles containing different populations represented by multi-classes. The dynamics of each particle depends not only on the empirical measure of the whole population but also on those of different populations. The limits of such systems as the number of particles tends to infinity are investigated. We establish the existence, uniqueness, and basic properties of solutions to the limiting McKean-Vlasov equations of these systems and then obtain the rate of convergence of the sequences of empirical measures associated with the systems to their limits in terms of the pth Monge-Wasserstein distance.
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关键词
Mean-field model,stochastic differential equation,McKean-Vlasov equation,Monge-Wasserstein distance,multi-classes
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