Error estimates of a theta-scheme for second-order mean field games

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
J. Frédéric Bonnans, Kang Liu, Laurent Pfeiffer
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引用次数: 0

Abstract

We introduce and analyze a new finite-difference scheme, relying on the theta-method, for solving monotone second-order mean field games. These games consist of a coupled system of the Fokker–Planck and the Hamilton–Jacobi–Bellman equation. The theta-method is used for discretizing the diffusion terms: we approximate them with a convex combination of an implicit and an explicit term. On contrast, we use an explicit centered scheme for the first-order terms. Assuming that the running cost is strongly convex and regular, we first prove the monotonicity and the stability of our thetascheme, under a CFL condition. Taking advantage of the regularity of the solution of the continuous problem, we estimate the consistency error of the theta-scheme. Our main result is a convergence rate of order O ( h r ) for the theta-scheme, where ℎ is the step length of the space variable and r ∈ (0, 1) is related to the Hölder continuity of the solution of the continuous problem and some of its derivatives.
二阶平均场对策的theta格式的误差估计
本文介绍并分析了一种新的有限差分格式,该格式依赖于求解单调二阶平均场对策的方法。这些博弈由福克-普朗克方程和汉密尔顿-雅可比-贝尔曼方程的耦合系统组成。方法用于离散扩散项:我们用隐式项和显式项的凸组合来逼近它们。相反,我们对一阶项使用显式中心方案。假设运行代价是强凸正则的,首先证明了该方案在CFL条件下的单调性和稳定性。利用连续问题解的规律性,估计了格式的一致性误差。我们的主要结果是对theta-格式的O (h r)阶的收敛速率,其中,是空间变量的步长,r∈(0,1)与连续问题及其一些导数解的Hölder连续性有关。
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来源期刊
Esaim-Probability and Statistics
Esaim-Probability and Statistics STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The journal publishes original research and survey papers in the area of Probability and Statistics. It covers theoretical and practical aspects, in any field of these domains. Of particular interest are methodological developments with application in other scientific areas, for example Biology and Genetics, Information Theory, Finance, Bioinformatics, Random structures and Random graphs, Econometrics, Physics. Long papers are very welcome. Indeed, we intend to develop the journal in the direction of applications and to open it to various fields where random mathematical modelling is important. In particular we will call (survey) papers in these areas, in order to make the random community aware of important problems of both theoretical and practical interest. We all know that many recent fascinating developments in Probability and Statistics are coming from "the outside" and we think that ESAIM: P&S should be a good entry point for such exchanges. Of course this does not mean that the journal will be only devoted to practical aspects.
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