ON SOLUTIONS OF BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS WITH JUMPS,WITH UNBOUNDED STOPPING TIMES AS TERMINAL AND WITH NON-LIPSCHITZ COEFFICIENTS,AND PROBABILISTIC INTERPRETATION OF QUASI-LINEAR ELLIPTIC TYPE INTEGRO-DIFFERENTIAL EQUATIO

The existence and uniqueness of solutions to backward stochastic differential equations with jumps and with unbounded stopping time as terminal under the non_Lipschitz condition are obtained. The convergence of solutions and the continuous dependence of solutions on parameters are also derived. Then the probabilistic interpretation of solutions to some kinds of quasi_linear elliptic type integro_differential equations is obtained.

Freidlin-Wentzell’s Large Deviations for Stochastic Evolution Equations with Poisson Jumps

We establish a Freidlin-Wentzell’s large deviation principle for general stochastic evolution equations with Poisson jumps and small multiplicative noises by using weak convergence method.

A Mean-Field Stochastic Maximum Principle for Optimal Control of Forward-Backward Stochastic Differential Equations with Jumps via Malliavin Calculus

This paper considers a mean-field type stochastic control problem where the dynamics is governed by a forward and backward stochastic differential equation (SDE) driven by Lévy processes and the information available to the controller is possibly less than the overall information. All the system coefficients and the objective performance functional are allowed to be random, possibly non-Markovian. Malliavin calculus is employed to derive a maximum principle for the optimal control of such a system where the adjoint process is explicitly expressed.

UNIQUENESS OF THE MILD SOLUTION OF SEMILINEAR STOCHASTIC EVOLUTION EQUATION IN HILBERT SPACE

In this paper, we will consider following initial value problem of semilinear stochastic evolution equation in Hilbert Space: [GRAPHICS] where W(t) is a wiener process in H, H and Y are two real separable Hilbert Spaces, A is an infinitesimal generator of a strongly continuous semigroup s(t) on Y, f(t, y): [0, T] x Y --> Y, and G(t, y): [0, T] X Y --> L(H, Y), y0: OMEGA --> Y is a ramdom variable of square integrable. We apply theory of the semigroup and obtain two conclusions of uniqueness of the mild solution of (1) which include the corresponding results in [4].

A variational formula for controlled backward stochastic partial differential equations and some application

An optimal control problem for a controlled backward stochastic partial differential equation in the abstract evolution form with a Bolza type performance functional is considered. The control domain is not assumed to be convex, and all coefficients of the system are allowed to be random. A variational formula for the functional in a given control process direction is derived, by the Hamiltonian and associated adjoint system. As an application, a global stochastic maximum principle of Pontraygins type for the optimal controls is established.

An Accurate Numerical Scheme for Mean-Field Forward and Backward SDEs with Jumps

In this work,we propose an explicit second order scheme for decoupled mean-field forward backward stochastic differential equations with jumps.The sta-bility and the rigorous error estimates are presented,which show that the proposed scheme yields a second order rate of convergence,when the forward mean-field stochastic differential equation is solved by the weak order 2.0 Itˆo-Taylor scheme.Numerical experiments are carried out to verify the theoretical results.

Controlled Mean-Field Backward Stochastic Differential Equations with Jumps Involving the Value Function

This paper discusses mean-field backward stochastic differentiM equations （mean-field BS- DEs） with jumps and a new type of controlled mean-field BSDEs with jumps, namely mean-field BSDEs with jumps strongly coupled with the value function of the associated control problem. The authors first prove the existence and the uniqueness as well as a comparison theorem for the above two types of BSDEs. For this the authors use an approximation method. Then, with the help of the notion of stochastic backward semigroups introduced by Peng in 1997, the authors get the dynamic programming principle （DPP） for the value functions. Furthermore, the authors prove that the value function is a viscosity solution of the associated nonlocal Hamilton-Jacobi-Bellman （HJB） integro-partial differential equation, which is unique in an adequate space of continuous functions introduced by Barles, et al. in 1997.

Path-dependent backward stochastic Volterra integral equations with jumps,differentiability and duality principle

We study the existence and uniqueness of a solution to path-dependent backward stochastic Volterra integral equations(BSVIEs)with jumps,where path-dependence means the dependence of the free term and generator of a path of a c`adl`ag process.Furthermore,we prove path-differentiability of such a solution and establish the duality principle between a linear path-dependent forward stochastic Volterra integral equation(FSVIE)with jumps and a linear path-dependent BSVIE with jumps.As a result of the duality principle we get a comparison theorem and derive a class of dynamic coherent risk measures based on path-dependent BSVIEs with jumps.

带Markov跳的离散时间随机控制系统的最大值原理

本文研究一类同时含有Markov跳过程和乘性噪声的离散时间非线性随机系统的最优控制问题,给出并证明了相应的最大值原理.首先,利用条件期望的平滑性,通过引入具有适应解的倒向随机差分方程,给出了带有线性差分方程约束的线性泛函的表示形式,并利用Riesz定理证明其唯一性.其次,对带Markov跳的非线性随机控制系统,利用针状变分法,对状态方程进行一阶变分,获得其变分所满足的线性差分方程.然后,在引入Hamilton函数的基础上,通过一对由倒向随机差分方程刻画的伴随方程,给出并证明了带有Markov跳的离散时间非线性随机最优控制问题的最大值原理,并给出该最优控制问题的一个充分条件和相应的Hamilton-Jacobi-Bellman方程.最后,通过一个实际例子说明了所提理论的实用性和可行性.

BSDEs with Jumps and Path-Dependent Parabolic Integro-differential Equations

This paper deals with backward stochastic differential equations with jumps,whose data(the terminal condition and coefficient) are given functions of jump-diffusion process paths. The author introduces a type of nonlinear path-dependent parabolic integrodifferential equations, and then obtains a new type of nonlinear Feynman-Kac formula related to such BSDEs with jumps under some regularity conditions.

On the speed of convergence of Picard iterations of backward stochastic differential equations

It is a well-established fact in the scientific literature that Picard iterations of backward stochastic differential equations with globally Lipschitz continuous nonlinearities converge at least exponentially fast to the solution.In this paper we prove that this convergence is in fact at least square-root factorially fast.We show for one example that no higher convergence speed is possible in general.Moreover,if the nonlinearity is zindependent,then the convergence is even factorially fast.Thus we reveal a phase transition in the speed of convergence of Picard iterations of backward stochastic differential equations.

多维带跳倒向双重随机微分方程解的性质

本文研究一类多维带跳倒向双重随机微分方程,给出了It(?)公式在带跳倒向双重随机积分情形下的推广形式,同时运用推广形式的It(?)公式,在Lipschitz条件下证明了方程解的存在性和唯一性。

收益流不连续时项目最佳投资时机分析

讨论了当项目收益流为不连续随机过程时,投资时机的选择问题.把投资机会看作一种实物期权,并用B rown运动和Poisson跳过程分别刻画收益流受到的连续性随机扰动和随机冲击(引起收益流不连续的随机事件),证明在此情况下可利用收益流当前值的临界值作为投资时机选择的依据.进而,用带跳反射倒向随机微分方程方法解出这一临界值.

Hilbert空间上带跳倒向随机发展方程的适应解(Ⅰ)

得到Ｈｉｌｂｅｒｔ空间上关于柱体布朗运动及Ｐｏｉｓｓｏｎ随机鞅测度的鞅表示定理；证明了算子半群与算子群情形下Ｈｉｌｂｅｒｔ空间上关于柱体布朗运动及Ｐｏｉｓｓｏｎ鞅测度的一类倒向随机发展方程的适应解的存在唯一性定理及重要估计式。

非Lipschitz条件下的带跳的倒向随机微分方程

证明了带跳的倒向随机微分方程在某种非Lipschitz条件下的适应解的存在唯一性 ;

关于系数平方增长的带跳BSDE的解(Ⅰ)

讨论了系数关于q为平方增长,p和-y为指数增长的带跳倒向随机微分方程(BSDE)解的存在性,以及有这种系数的反射BSDE解的存在性。

反射型的带跳倒向双重随机微分方程(英文)

证明了反射型的带跳倒向双重随机微分方程的解的存在唯一性.主要方法是Snell包和不动点定理.

一类带跳倒向重随机微分方程解的轨道唯一性

建立一类带跳倒向重随机微分方程解的轨道唯一性,此工作是He等给出结果的一般化.

Hilbert空间上带跳倒向随机发展方程的适应解(Ⅱ)

证明算子半群与算子群情形下Hilbert空间上关于柱体布朗运动及Poisson鞅测度的一般半线性倒向随机发展方程适应解的存在惟一性定理 ,及其相应解的收敛定理 .

Hilbert空间上一类半线性随机发展方程的稳定性

讨论Ｈｉｌｂｅｒｔ空间上半线性随机发展方程ｄＹ的稳定性。为此引进了适度解的正则性和常返性等概念，利用Ｌｉａｐｕｎｏｖ直接法得到了此类随机发展方程的随机渐近稳定性、随机指教稳定性、ｐ－稳定性和几乎必然指数稳定性的充分性判据。这些结果不但推广了有限维情形的工作，同时也发展了Ａ．Ｉｃｈｉｋａｗａ的工作。