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Mean-Field Backward Stochastic Differential Equations Driven by Fractional Brownian Motion
Acta Mathematica Sinica, English Series ( IF 0.8 ) Pub Date : 2021-07-15 , DOI: 10.1007/s10114-021-0002-9
Yu Feng Shi 1 , Jia Qiang Wen 2 , Jie Xiong 3
Affiliation  

In this paper, we study a new class of equations called mean-field backward stochastic differential equations (BSDEs, for short) driven by fractional Brownian motion with Hurst parameter H > 1/2. First, the existence and uniqueness of this class of BSDEs are obtained. Second, a comparison theorem of the solutions is established. Third, as an application, we connect this class of BSDEs with a nonlocal partial differential equation (PDE, for short), and derive a relationship between the fractional mean-field BSDEs and PDEs.



中文翻译:

分数布朗运动驱动的平均场向后随机微分方程

在本文中,我们研究了一类新的方程,称为平均场后向随机微分方程(简称 BSDE),由 Hurst 参数H > 1/2 的分数布朗运动驱动。首先,得到该类BSDE的存在性和唯一性。其次,建立了解的比较定理。第三,作为一个应用,我们将这类BSDEs与一个非局部偏微分方程(简称PDE)联系起来,推导出分数平均场BSDEs和PDEs之间的关系。

更新日期:2021-07-27
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