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arXiv 2201.10359math.PR
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二次平均场反射倒向随机微分方程

Quadratic Mean-Field Reflected BSDEs

Ying Hu, Remi Moreau, Falei Wang

摘要:

本文研究了在第二未知量$z$中驱动因子具有二次增长的平均场反射倒向随机微分方程。利用线性化技巧和BMO鞅理论,首先利用不动点证明了在有界终端条件和障碍情况下的解的存在性和唯一性。然后,借助于$θ$ -方法,我们发展了一个逐步逼近过程,当生成元关于第二未知量$z$是凹的(或凸的)时,消除了终端条件和障碍的有界性条件

英文摘要:

In this paper, we analyze mean-field reflected backward stochastic differential equations when the driver has quadratic growth in the second unknown $z$. Using linearization technique and BMO martingale theory, we first apply fixed point argument to establish uniqueness and existence result for the case with bounded terminal condition and obstacle. Then, with the help of a $θ$-method, we develop a successive approximation procedure to remove the boundedness condition on the terminal condition and obstacle when the generator is concave (or convex) with respect to the 2nd unknown $z$

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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