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arXiv 0906.3455math.PRcs.NAmath.NA
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带跳随机泛函微分方程数值解的收敛速度

Rate of convergence for numerical solutions to SFDEs with jumps

Central South University(中南大学);University of Strathclyde(斯特拉斯克莱德大学);Swansea University(斯旺西大学)

Jianhai Bao, Xuerong Mao, Chenggui Yuan

AI总结:

研究带跳随机泛函微分方程在全局和局部Lipschitz条件下Euler-Maruyama数值解的p阶矩收敛速度,发现全局条件下收敛阶为1/p,局部条件下均方收敛阶接近1/2。

摘要:

本文关注带跳随机泛函微分方程(SFDEs)的数值解。在全局Lipschitz条件下,我们证明对于任意p≥2,带跳SFDEs的Euler-Maruyama(EM)数值解的p阶矩收敛阶为1/p。这与无跳SFDEs(对于任意p≥2,收敛阶为1/2)的情况显著不同。因此,对于带跳SFDEs,最好使用均方收敛。进而,在局部Lipschitz条件下,我们揭示出,如果半径为j的球上的局部Lipschitz常数增长不超过log j,则均方收敛阶接近1/2。

英文摘要:

In this paper, we are interested in the numerical solutions of stochastic functional differential equations (SFDEs) with {\it jumps}. Under the global Lipschitz condition, we show that the $p$th moment convergence of the Euler-Maruyama (EM) numerical solutions to SFDEs with jumps has order $1/p$ for any $p\ge 2$. This is significantly different from the case of SFDEs without jumps where the order is 1/2 for any $p\ge 2$. It is therefore best to use the mean-square convergence for SFDEs with jumps. Consequently, under the local Lipschitz condition, we reveal that the order of the mean-square convergence is close to 1/2, provided that the local Lipschitz constants, valid on balls of radius $j$, do not grow faster than $\log j$.

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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