Convergence in Monge-Wasserstein Distance of Mean Field Systems with Locally Lipschitz Coefficients

被引:0
|
作者
Nguyen, Dung Tien [1 ]
Nguyen, Son Luu [2 ]
Du, Nguyen Huu [3 ]
机构
[1] Vietnam Natl Univ Ho Chi Minh City, Univ Technol, Fac Sci Appl, Dept Appl Math, 268 Ly Thuong Kiet,Dist 10, Ho Chi Minh City, Vietnam
[2] Univ Puerto Rico, Dept Math, Rio Piedras Campus, San Juan, PR 00936 USA
[3] Hanoi Natl Univ, Dept Math Mech & Informat, 334 Nguyen Trai, Hanoi, Vietnam
关键词
Mean-field model; Stochastic differential equation; McKean-Vlasov equation; Convergence; DYNAMICS; LIMIT; GAMES; MODEL;
D O I
10.1007/s40306-020-00375-1
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper focuses on stochastic systems of weakly interacting particles whose dynamics depend on the empirical measures of the whole populations. The drift and diffusion coefficients of the dynamical systems are assumed to be locally Lipschitz continuous and satisfy global linear growth condition. The limits of such systems as the number of particles tends to infinity are studied, and the rate of convergence of the sequences of empirical measures to their limits in terms ofp(th)Monge-Wasserstein distance is established. We also investigate the existence, uniqueness, and boundedness, and continuity of solutions of the limiting McKean-Vlasov equations associated to the systems.
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页码:875 / 896
页数:22
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