A gradient flow approach of propagation of chaos

A gradient flow approach of propagation of chaos
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混沌传播的梯度流方法

DOI:
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发表时间:
2020
期刊:
Discrete and Continuous Dynamical Systems. Series A
影响因子:
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通讯作者:
Samir Salem
Samir Salem
中科院分区:
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文献类型:
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作者:
Samir Salem

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我们提供了一些相互作用定律之间的Wasserstein 2距离耗散的估计, egin{document}$ N $end{document} -粒子系统, egin{document}$ N $end{document}次张量化乘积解的相应极限非线性守恒律。然后,它能够恢复经典传播的混沌结果[ 20 ]的情况下,Lipschitz系数,均匀的时间传播的混沌在[ 17 ]的情况下,严格凸系数。并给出了双势阱中粒子的一些最新结果[ 7 ]。
We provide an estimation of the dissipation of the Wasserstein 2 distance between the law of some interacting egin{document}$ N $end{document} -particle system, and the egin{document}$ N $end{document} times tensorized product of the solution to the corresponding limit nonlinear conservation law. It then enables to recover classical propagation of chaos results [ 20 ] in the case of Lipschitz coefficients, uniform in time propagation of chaos in [ 17 ] in the case of strictly convex coefficients. And some recent results [ 7 ] as the case of particle in a double well potential.