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arXiv 2001.09014math.PR
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可能非quasi-left-continuous随机测度驱动的倒向随机微分方程的辨识问题

The identification problem for BSDEs driven by possibly non quasi-left-continuous random measures

Elena Bandini, Francesco Russo

摘要:

本文研究了由连续局部鞅和可能非拟左连续随机测度驱动的倒向随机过程的识别问题。假设一个后向随机过程的解(Y,Z,U)满足$Y(t) = v(t, X(t))$,其中X是一个基本过程,v是一个确定性函数,解决识别问题在于确定Z和U的条款v。我们研究了各种假设下的上述识别问题,我们提供了一个家庭的例子,包括当X是一个非-奇异系数微分方程的半鞅跳过程解

英文摘要:

In this paper we focus on the so called identification problem for a backward SDE driven by a continuous local martingale and a possibly non quasi-left-continuous random measure. Supposing that a solution (Y, Z, U) of a backward SDE is such that $Y(t) = v(t, X(t))$ where X is an underlying process and v is a deterministic function, solving the identification problem consists in determining Z and U in term of v. We study the over-mentioned identification problem under various sets of assumptions and we provide a family of examples including the case when X is a non-semimartingale jump process solution of an SDE with singular coefficients.

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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