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arXiv 1508.02501math.PR
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一般假设下一维边值问题的有界解、$L^p (p>1)$解和$L^1$解

Bounded solutions, $L^p (p>1)$ solutions and $L^1$ solutions for one-dimensional BSDEs under general assumptions

ShengJun Fan

摘要:

本文在较弱的假设条件下研究了一维倒向随机微分方程的求解问题。我们建立了BSDES的有界解、$L^p (p>1)$解和$L^1$解的普遍存在性、唯一性和比较结果。允许时间范围是有限的或无限的,并且允许生成器$g$具有$y$的一般增长和$z$的二次增长。作为补偿,生成器$g$需要满足$y$中的一种单侧线性或超线性增长条件,而不是通常所做的$y$中的单调性条件。我们的许多结果实际上改进了一些已知的结果,即使是有限时间范围的情况下,和$L^2$解决方案的情况下。

英文摘要:

This paper aims at solving one-dimensional backward stochastic differential equations (BSDEs) under weaker assumptions. We establish general existence, uniqueness, and comparison results for bounded solutions, $L^p (p>1)$ solutions and $L^1$ solutions of the BSDEs. The time horizon is allowed to be finite or infinite, and the generator $g$ is allowed to have a general growth in $y$ and a quadratic growth in $z$. As compensation, the generator $g$ needs to satisfy a kind of one-sided linear or super-linear growth condition in $y$, instead of the monotonicity condition in $y$ as is usually done. Many of our results improve virtually some known results, even though for the case of the finite time horizon and the case of the $L^2$ solution.

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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