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arXiv 1903.08780math.OC
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主要参与者的线性二次平均场博弈:多尺度方法

Linear quadratic mean field games with a major player: The multi-scale approach

Yan Ma, Minyi Huang

摘要:

本文研究了具有主要局中人的线性二次平均场对策,并分析了其渐近可解性问题。它从耦合动态规划方程的大规模系统开始,并应用Huang和Zhou(2018 a,2018 b)中引入的重标度技术导出一组低维Riccati方程,其可解性决定了渐近可解性的充要条件。接下来,我们推导出策略的平均场极限和价值函数。最后,我们证明了这两个分散策略可以被解释为嵌入在一个无穷总体中的一个主要参与者和一个代表性的次要参与者的最佳对策,它们具有一致的平均场近似的性质。

英文摘要:

This paper considers linear quadratic (LQ) mean field games with a major player and analyzes an asymptotic solvability problem. It starts with a large-scale system of coupled dynamic programming equations and applies a re-scaling technique introduced in Huang and Zhou (2018a, 2018b) to derive a set of Riccati equations in lower dimensions, the solvability of which determines the necessary and sufficient condition for asymptotic solvability. We next derive the mean field limit of the strategies and the value functions. Finally, we show that the two decentralized strategies can be interpreted as the best responses of a major player and a representative minor player embedded in an infinite population, which have the property of consistent mean field approximations.

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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