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arXiv 2511.17023math.OC
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无限时间线性二次均场问题与共同噪声和制度切换的条件 McKean-Vlasov FBSDEs 解法

Infinite Horizon Linear Quadratic Mean Field Problems with Common Noise and Regime Switching via Conditional McKean-Vlasov FBSDEs

Northeast Normal University(东北师范大学)

Qingmeng Wei, Yaqi Xu

AI总结:

本文通过条件 McKean-Vlasov FBSDEs 方法,研究了包含共同噪声和制度切换的无限时间线性二次均场问题,推导了控制与博弈问题的最优解条件。

摘要:

本文研究了包含共同噪声和制度切换的无限时间线性二次(LQ)均场问题,涵盖了控制和博弈两种形式。为了建立LQ框架的理论基础,我们首先分析了带有马尔可夫切换的条件 McKean-Vlasov 类型的完全耦合前向后向随机微分方程(FBSDEs),并在广义支配单调性条件下建立了其适定性。在此可解性结果的基础上,我们进一步推导了控制问题中开环最优控制的必要和充分条件,以及博弈问题中的均场纳什均衡条件。

英文摘要:

This paper studies infinite horizon linear quadratic (LQ) mean field problems with common noise and regime switching, covering both control and game formulations. To establish a theoretical foundation for the LQ framework, we first analyze fully coupled forward-backward stochastic differential equations (FBSDEs) of conditional McKean-Vlasov type with Markovian switching and establish its well-posedness under a generalized domination-monotonicity condition. Building upon this solvability result, we then derive necessary and sufficient conditions for both the open-loop optimal control in the control problem and the mean-field Nash equilibria in the game problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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