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1.
倒向随机微分方程解的Malliavin微分   总被引:1,自引:0,他引:1  
讨论倒向随机微分方程Yt=ζ+∫^Ttg(s,Ys,Zs)ds-∫^TtZsdWs解在Malliavin微分意义下的可微性,并得到其Malliavin二阶微分仍然满足一个倒向随机微分方程。用迭代方法构造一个随机序列(Y^n.Z^n.),证明在Malliavin微分意义下二阶可微,同时证明了它在Sobolev空间D2,2则中收敛于一个线性倒向随机微分方程的解。  相似文献   

2.
张慧 《数学年刊A辑》2006,27(6):741-748
对倒向随机微分方程(简记BsDE)的解(y,z),利用Malliavin微分的方法进行了研究.给出了某些关于比较z的方法,在此基础上继续研究(y,z)的某些重要性质,同时推广了Chen Zengjing等人文章中相应的结论.  相似文献   

3.
对倒向随机微分方程(简记BSDE)的解(y,z),利用Malliavin微分的方法进行了研究.给出了某些关于比较z的方法,在此基础上继续研究(y,z)的某些重要性质,同时推广了Chen Zengjing等人文章中相应的结论.  相似文献   

4.
本文利用Malliavin微分的理论研究了倒向随机微分方程的解$(y,z)$,首先利用$y$的Malliavin微分得到了一种比较$z$的方法,然后利用该方法得到了含有随机生成元的倒向随机微分方程的共单调定理.  相似文献   

5.
范胜君 《应用数学》2007,20(4):666-670
2003年Briand et al等在很一般的假设下建立了倒向随机微分方程(BSDEs)L^p解的存在唯一性定理.本文在此基础上得到了这种假设下一维BSDEs的L^p解的几个连续性质.  相似文献   

6.
该文利用Malliavin微分的方法研究带有随机生成元的倒向随机微分方程 (简记BSDE),给出了关于比较某些BSDE的解(y,z)中z的方法, 在此基础上继续研究(y,z)的某些重要性质, 指明了当BSDE的生成元是随机的情况下,Zengjing Chen等人文章中得到的共单调定理是不成立的, 然后寻找带有随机生成元的BSDE的共单调定理成立的特殊情况, 最后研究了一类g -期望的可加性以及Choquet积分表示定理.  相似文献   

7.
倒向随机微分方程的理论、发展及其应用   总被引:3,自引:1,他引:3  
本文全面综述了倒向随机微分方程理论的出现、发展、应用及研究现状,介绍了作者博士论文的主要工作。  相似文献   

8.
讨论了正倒向随机微分方程解的比较问题.阐述了正倒向随机微分方程在随机最优控制、现代金融理论中的广泛而深刻的应用, 对于一类正倒向随机微分方程, 利用Ito公式、停时等随机分析方法,通过构造辅助正倒向随机微分方程,得到了正倒向随机微分方程解的比较定理.  相似文献   

9.
倒向双重随机微分方程   总被引:5,自引:0,他引:5  
周少甫  曹小勇  郭潇 《应用数学》2004,17(1):95-103
本文研究了如下倒向随机微分方程Yt=ξ ∫t^Tf(x,Yt,Zt)ds ∫t^TB(ds,g(s,Yt,Zt))-∫t^TZtdW,, 在类似于Yamada条件下,得到了它解的存在唯一性定理,推广了Anis Matoussi和Michael Scheutzow相关结果.拓展倒向随机微分方程在随机控制问题和数理金融等方面的应用。  相似文献   

10.
倒向随机微分方程由Pardoux和彭实戈首先提出,彭实戈给出了一维BSDE的比较定理,周海滨将其推广到了高维情形.毛学荣将倒向随机微分方程解的存在唯一性定理推广到非Lipschitz系数情况,曹志刚和严加安给了相应的一维比较定理.本文将曹志刚和严加安的比较定理推广到高维情形.  相似文献   

11.
    
61. IntroductionLet (fi, F, P, {R}tZo) be a complete filtered probability space on which a standard onedimensional Brownian motion w(') is defined such that {R}tZo is the natural filtrationgenerated by w(.), augmented by all the p-null sets in i. We consider the following stateequationwhere T E T[0, TI, the set of all {R}tZo-stopping times taking values in [0, T], (E sigLlt (fi;IR\"); A, B, C, D are matrix-valued {R}tZo-adapted bounded processes. In the above, u(.) EU[T, T]gLI(T, T…  相似文献   

12.
    
This paper is devoted to the study of optimization of investment, consumption and proportional reinsurance for an insurer with option type payoff at the terminal time under the criterion of exponential utility maximization. The surplus process of the insurer and the financial risky asset process are assumed to be diffusion processes driven by Brownian motions which are non-Markovian in general. Very general constraints are imposed on the investment and the proportional reinsurance processes. Based on the martingale optimization principle, we use BSDE and BMO martingale techniques to derive the optimal strategy and the optimal value function. Some interesting particular cases are studied in which the explicit expressions for the optimal strategy are given by using the Malliavin calculus.  相似文献   

13.
Rémi Léandre 《Acta Appl Math》2003,78(1-3):273-284
We consider a nondegenerated stochastic delay manifold on a compact manifold. We show that we can apply Malliavin calculus in order to show that its law has a strictly positive density.  相似文献   

14.
    
A numerical scheme for a stochastic partial differential equation of heat equation type is considered where the drift is locally bounded and the dispersion may be state dependent. Uniform convergence in probability is obtained.Roger Pettersson: Partially supported by the EU grant ref. ERBF MRX CT96 0057A.  相似文献   

15.
    
In this article, we prove integration by parts (IBP) formulas concerning maxima of solutions to some stochastic differential equations (SDEs). We will deal with three types of maxima. First, we consider discrete time maximum, and then continuous time maximum in the case of one-dimensional SDEs. Finally, we deal with the maximum of the components of a solution to multi-dimensional SDEs. Applications to study their probability density functions by means of the IBP formulas are also discussed.  相似文献   

16.
    
Several criteria for existence of smooth densities of Wiener functionals are known in the framework of Malliavin calculus. In this article, we introduce the notion of generalized locally non-degenerate Wiener functionals and prove that they possess smooth densities. The result presented here unifies the earlier works by Shigekawa and Florit-Nualart. As an application, we prove that the law of the strong solution to a stochastic differential equation driven by Brownian motion admits a smooth density without an assumption of Lipschitz continuity for dispersion coefficients.  相似文献   

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