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arXiv 1407.0887math.PR
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倒向微分方程Euler格式的数值稳定性分析

Numerical stability analysis of the Euler scheme for BSDEs

Jean-François Chassagneux, Adrien Richou

摘要:

本文通过引入一个新的数值稳定性概念,研究倒向随机微分方程逼近格式的定性性质。对于欧拉格式,我们在一维和多维情况下提供了保证数值稳定性的充分条件。然后,我们执行一个经典的冯诺依曼稳定性分析的情况下,线性驱动器$f$,并展示必要条件,以获得稳定在这种情况下。最后,我们说明我们的结果与数值应用。

英文摘要:

In this paper, we study the qualitative behaviour of approximation schemes for Backward Stochastic Differential Equations (BSDEs) by introducing a new notion of numerical stability. For the Euler scheme, we provide sufficient conditions in the one-dimensional and multidimensional case to guarantee the numerical stability. We then perform a classical Von Neumann stability analysis in the case of a linear driver $f$ and exhibit necessary conditions to get stability in this case. Finally, we illustrate our results with numerical applications.

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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