Generalized Mean-Field Fractional BSDEs With Non-Lipschitz Coefficients

Generalized Mean-Field Fractional BSDEs With Non-Lipschitz Coefficients
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具有非 Lipschitz 系数的广义平均场分数 BSDE

DOI:
10.5539/ijsp.v10n3pxx
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发表时间:
2021-04
期刊:
International J of Statistics and Probab
影响因子:
--
通讯作者:
Qun Shi
Qun Shi
中科院分区:
其他
文献类型:
--
作者:
Qun Shi

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本文考虑了分数布朗运动驱动的一维广义平均场倒向随机微分方程,即,我们的平均场FBSDES的生成元不仅依赖于解,而且依赖于解的律。首先在Lipschitz条件下给出了这类倒向随机微分方程的一个全新的比较定理。进一步,当系数仅连续且线性增长时,我们研究了这类平均场倒向随机微分方程解的存在性。
In this paper we consider one dimensional generalized mean-field backward stochastic dierential equations (BSDEs).driven by fractional Brownian motion, i.e., the generators of our mean-field FBSDEs depend not only on the solution but.also on the law of the solution. We first give a totally new comparison theorem for such type of BSDEs under Lipschitz.condition. Furthermore, we study the existence of the solution of such mean-field FBSDEs when the coefficients are only.continuous and with a linear growth.