Two fixed point theorems in complete random normed modules and their applications to backward stochastic equations

Two fixed point theorems in complete random normed modules and their applications to backward stochastic equations
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完全随机赋范模中的两个不动点定理及其在向后随机方程中的应用

DOI:
10.1016/j.jmaa.2019.123644
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发表时间:
2018-01
影响因子:
1.3
通讯作者:
Guo Zichen
Guo Zichen
中科院分区:
数学3区
文献类型:
--
作者:
Guo Tiexin;Zhang Erxin;Wang Yachao;Guo Zichen

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抽象Let(Ω,F,F,P)是一个滤子概率空间,其滤子F=(Ft)t∈[0,T]满足通常的条件,T是一个有限时间,L0(F0)是Ω上F0-可测实值随机变量的等价类代数,Lp(FT,Rd)是通常的函数空间,LF 0 p(FT,Rd)是Lp(FT,Rd)生成的L0(F0)-模.研究了常见的倒向随机方程(B S E s)在Lp(FT,Rd)中的终止条件.受连续时间条件均值-条件凸风险测度投资组合研究的启发,本文首次构造并研究了一类更一般的B S E,其终端条件为LF 0 p(FT,Rd).证明了完备随机赋范模中的两个不动点定理,它们分别是Banach压缩映射原理和Browder-Kirk不动点定理的随机推广,并给出了它们在一般B SE类中的应用.
Abstract Let (Ω, F, F, P) be a filtered probability space with a filtration F=(F t) t∈[0, T] satisfying the usual conditions and T a finite time, L 0 (F 0) the algebra of equivalence classes of F 0–measurable real–valued random variables on Ω, L p (F T, R d) the usual function space and L F 0 p (F T, R d) the L 0 (F 0)–module generated by L p (F T, R d). The usual backward stochastic equations (B S E s) are studied for their terminal conditions ξ in L p (F T, R d). Motivated by the study of continuous–time conditional mean–conditional convex risk measure portfolio selection, this paper, for the first time, formulates and studies a more general class of B S E s with their terminal conditions in L F 0 p (F T, R d). The main results of this paper are to prove two fixed point theorems in complete random normed modules, which are respectively the random generalizations of Banach contraction mapping principle and Browder–Kirk fixed point theorem, and give their applications to the general class of B S E s.
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