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arXiv 2206.02166math.PRcs.NAmath.NA
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相互作用粒子系统时间离散随机批处理方法的误差分析及平均场极限

Error Analysis of Time-Discrete Random Batch Method for Interacting Particle Systems and Associated Mean-Field Limits

Xuda Ye, Zhennan Zhou

摘要:

随机批处理方法为计算相互作用粒子正则系综的统计性质提供了一种有效的算法。在这项工作中,我们研究的误差估计的全离散随机批处理方法,特别是在近似不变分布。使用三角不等式框架,我们证明了该方法的长时间误差是$O(\sqrtτ + e^{-λt})$,其中$τ$是时间步长,$λ$是不依赖于时间步长$τ$或粒子数$N$的收敛速度。我们的结果也适用于McKean-Vlasov过程,这是相互作用粒子系统的平均场极限为粒子数$N\rightarrow\infty$。

英文摘要:

The random batch method provides an efficient algorithm for computing statistical properties of a canonical ensemble of interacting particles. In this work, we study the error estimates of the fully discrete random batch method, especially in terms of approximating the invariant distribution. Using a triangle inequality framework, we show that the long-time error of the method is $O(\sqrtτ + e^{-λt})$, where $τ$ is the time step and $λ$ is the convergence rate which does not depend on the time step $τ$ or the number of particles $N$. Our results also apply to the McKean-Vlasov process, which is the mean-field limit of the interacting particle system as the number of particles $N\rightarrow\infty$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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