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arXiv 2511.03390math.NAcs.NAmath.OC
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计算一般周期时变随机博弈论Riccati微分方程稳定化解的新算法

A New Algorithm for Computing the Stabilizing Solution of General Periodic Time-Varying Stochastic Game-Theoretic Riccati Differential Equations

Shandong University Zhongtai Securities Institute for Financial Studies, Shandong University(山东大学中泰金融研究院,山东大学)

Yiyuan Wang

AI总结:

本文针对零和线性二次随机微分博弈中的周期时变随机博弈论Riccati微分方程,提出基于双层矩阵值函数迭代的新算法,通过依次求解子问题极大周期解获得稳定化周期解,并证明收敛性。

摘要:

针对零和线性二次随机微分博弈中产生的一类广泛的周期时变随机博弈论Riccati微分方程,我们提出了一种新算法。该算法通过双层矩阵值函数迭代序列构建,将原问题重构为一组相互关联的双层子问题。通过依次计算与每个子问题相关的Riccati微分方程的极大周期解,我们推导出原问题的稳定化周期解,并严格证明了算法的收敛性。数值实验验证了算法的有效性和稳定性。本研究为求解更广泛的周期时变随机博弈论Riccati微分方程提供了一个统一的数值框架。

英文摘要:

We propose a new algorithm for a broad class of periodic time-varying Stochastic Game-Theoretic Riccati Differential Equations arising in Zero-Sum Linear-Quadratic Stochastic Differential Games. The algorithm is constructed via dual-layer matrix-valued functions iteration sequences, which reformulate the original problem into a set of interconnected bilevel subproblems. By sequentially computing the maximal periodic solutions to the Riccati differential equations associated with each subproblem, we derive the stabilizing periodic solutions for the original problem and rigorously prove the algorithm's convergence. Numerical experiments verifies algorithm effectiveness and stability. This study provides a unified numerical framework for solving a wider range of periodic time-varying Stochastic Game-Theoretic Riccati Differential Equations.

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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