Well-Posedness of Infinite Horizon FBSDEs with Non-zero Terminals and LQ Problems with Random Coefficients

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Jinghua Li, Zhiyong Yu
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引用次数: 0

Abstract

This paper is concerned with fully coupled forward–backward stochastic differential equations (FBSDEs, for short) with non-zero terminals in infinite horizon. By introducing stochastic Lipschitz conditions and constructing infinite horizon domination–monotonicity conditions, the well-posedness of this kind of infinite horizon FBSDEs including the existence, uniqueness and a pair of estimates is proved. Moreover, the theoretical results are applied to solve four kinds of linear-quadratic (LQ, for short) stochastic optimal control problems with random coefficients in infinite horizon. Due to the unboundedness and randomness of coefficients, the results of the FBSDEs and LQ problems obtained in this paper, even if they are degenerated to finite horizon, contain more situations than the results in the literature.

非零端点无限视界FBSDEs的适定性与随机系数LQ问题
研究无穷视界上具有非零端点的完全耦合正反向随机微分方程(简称FBSDEs)。通过引入随机Lipschitz条件和构造无穷视界支配单调性条件,证明了这类无穷视界FBSDEs的存在性、唯一性和一对估计的适定性。并将理论结果应用于求解无限视界上4类随机系数线性二次型(LQ)随机最优控制问题。由于系数的无界性和随机性,本文得到的FBSDEs和LQ问题的结果,即使退化到有限视界,也比文献中的结果包含更多的情况。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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