Generalized Girsanov Transform of Processes and Zakai Equation with Jumps

M. Fujisaki, T. Komatsu
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Abstract

It is well known that the Girsanov transform (or, Girsanov's theorem) plays an important role in the stochastic analysis and this transform is closely related with the uniform integrability of local martingales. The ̄rst aim of this article is to give concrete, necessary and su±cient conditions of uniform integrability of positive local martingales with jumps. Then we shall apply Girsanov transform to Zakai equation (Zakai SDE) arisen from the ̄ltering problem of stochastic processes with jumps. Using Girsanov transform for L¶evy processes, Malliavin calculus could be applied to show the existence of smooth density of the ̄ltering measure. The second aim of this article is to show the uniqueness of solutions of Zakai equation. This is worthwhile from the fact that the solution of Zakai equation can be obtained from the ̄ltering measure by using Girsanov transform.
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过程的广义Girsanov变换和带跳跃的Zakai方程
众所周知,Girsanov变换(或Girsanov定理)在随机分析中起着重要的作用,它与局部鞅的一致可积性密切相关。本文的主要目的是给出带跳跃的正局部鞅一致可积的具体、必要和充分条件。然后,我们将Girsanov变换应用于由跳跃随机过程滤波问题产生的Zakai方程(Zakai SDE)。利用L ^ evy过程的Girsanov变换,Malliavin演算可以证明过滤测度的光滑密度的存在性。本文的第二个目的是证明Zakai方程解的唯一性。这是有价值的,因为Zakai方程的解可以用Girsanov变换从滤波测度中得到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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