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arXiv 1909.06181math.PR
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$L^p$ -单调一般增长环境下Lévy驱动的BSDES的解和比较结果

$L^p$-Solutions and Comparison Results for Lévy Driven BSDEs in a Monotonic, General Growth Setting

Stefan Kremsner, Alexander Steinicke

摘要:

本文给出了由Lévy过程和更一般的过滤驱动的多维倒向随机微分方程的$L^p$ -解($p > 1$)的统一方法.得到了新的存在性、唯一性和比较结果。生成函数在$y$ -变量中服从时间依赖的扩展单调性(Osgood)条件,并且在$y$中具有一般的增长.在这种情况下,结果概括了Royer(2006),Yin和Mao(2008),Yao(2017),Kruse和Popier(2016/2017)以及Geiss和Steinicke(2018)的结果。

英文摘要:

We present a unified approach to $L^p$-solutions ($p > 1$) of multidimensional backward stochastic differential equations (BSDEs) driven by Lévy processes and more general filtrations. New existence, uniqueness and comparison results are obtained. The generator functions obey a time-dependent extended monotonicity (Osgood) condition in the $y$-variable and have general growth in $y$. Within this setting, the results generalize those of Royer (2006), Yin and Mao (2008), Yao (2017), Kruse and Popier (2016/2017) and Geiss and Steinicke (2018).

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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