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arXiv 2006.06189math.PR
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SPDE的Girsanov变换与Kolmogorov方程的关系

On the relation between the Girsanov transform and the Kolmogorov equations for SPDEs

Franco Flandoli, Dejun Luo, Cristiano Ricci

摘要:

Girsanov变换和Kolmogorov方程是研究随机偏微分方程的两种有效方法。结果表明,在适当的条件下,从Girsanov变换得到的级数展开与Kolmogorov方程的迭代格式所产生的级数展开一致。我们还应用迭代方法将Kolmogorov方程的适定性理论扩展到非线性项的有界性条件之外。

英文摘要:

The Girsanov transform and Kolmogorov equations are two useful methods for studying SPDEs. It is shown that, under suitable conditions, the series expansion obtained from the Girsanov transform coincides with the one generated by an iteration scheme for Kolmogorov equations. We also apply the iteration approach to extend the well posedness theory for Kolmogorov equations beyond the boundedness condition on the nonlinear term.

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