Convergence in Wasserstein distance for empirical measures of semilinear SPDEs

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY Annals of Applied Probability Pub Date : 2021-01-31 DOI:10.1214/22-aap1807
Feng-Yu Wang
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引用次数: 12

Abstract

The convergence rate in Wasserstein distance is estimated for the empirical measures of symmetric semilinear SPDEs. Unlike in the finite-dimensional case that the convergence is of algebraic order in time, in the present situation the convergence is of log order with a power given by eigenvalues of the underlying linear operator.
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双线性SPDE经验测度在Wasserstein距离上的收敛性
估计了对称双线性SPDE的经验测度在Wasserstein距离上的收敛速度。与收敛在时间上为代数阶的有限维情况不同,在当前情况下,收敛为对数阶,幂由底层线性算子的特征值给定。
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来源期刊
Annals of Applied Probability
Annals of Applied Probability 数学-统计学与概率论
CiteScore
2.70
自引率
5.60%
发文量
108
审稿时长
6-12 weeks
期刊介绍: The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.
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