张 伟,江 龙.Osgood条件下G-Brown驱动的倒向随机微分方程[J].数学年刊A辑,2020,41(3):309~324
Osgood条件下G-Brown驱动的倒向随机微分方程
Backward Stochastic Differential Equations with Generators of Osgood Type Driven by G-Brownian Motion
Received:August 04, 2018  Revised:May 19, 2020
DOI:10.16205/j.cnki.cama.2020.0022
中文关键词:  G-BSDE, G-Brown 运动, Osgood 条件, 逐次逼近法
英文关键词:G-BSDE, G-Brownian motion, Osgood condition, Successive approximation
基金项目:中央大学基础研究专项基金 (No.,2017XKZD11)
Author NameAffiliation
ZHANG Wei Xuhai College, China University of Mining and Technology, Xuzhou 221008,Jiangsu, China. 
JIANG Long Corresponding author. School of Mathematics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China. 
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中文摘要:
      在生成元关于变量 y 满足 Osgood 条件、 关于变量 z 满足 Lipschitz 条件下,建立了 G-Brown 运动驱动的倒向随机微分方程的解的存在唯一性定理.
英文摘要:
      In this paper, the authors study the following backward stochastic differential equation driven by G-Brownian motion Yt = ξ + Zt T f(s, Ys, Zs)ds + Zt T g(s, Ys, Zs)dhBis Zt T ZsdBs (KT Kt),whose generators satisfy Osgood condition in y and Lipschitz continuous in z. An existence and uniqeness theorem for this kind of G-BSDE is established.
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