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arXiv 2203.05856math.PR
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分布相关随机微分方程Wasserstein度量的指数收敛性

Exponential convergence in Wasserstein metric for distribution dependent SDEs

Shao-Qin Zhang

摘要:

从相应的解耦方程出发,得到了分布依赖型偏微分方程平稳分布的存在唯一性和$L^p$ -Wasserstein距离的指数收敛性.为了证明其指数收敛性,我们引入了原方程和相应的解耦方程的孪生Talagrand不等式,并得到了显式的收敛速度.我们的结果适用于不含均匀耗散漂移和分布依赖扩散项的随机微分方程,以Curie-Weiss模型和双阱景观中的颗粒介质模型为例,给出了二次相互作用的随机微分方程的计算结果.

英文摘要:

The existence and uniqueness of stationary distributions and the exponential convergence in $L^p$-Wasserstein distance are derived for distribution dependent SDEs from associated decoupled equations. To establish the exponential convergence, we introduce a twinned Talagrand inequality of the original SDE and the associated decoupled equation, and explicit convergence rate is obtained. Our results can be applied to SDEs without uniformly dissipative drift and distribution dependent diffusion term, which cover the Curie-Weiss model and the granular media model in double-well landscape with quadratic interaction as examples.

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