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Pasting of Equilibria and Donsker-type Results for Mean Field Games

Author

Listed:
  • Dianetti, Jodi

    (Center for Mathematical Economics, Bielefeld University)

  • Nendel, Max

    (Center for Mathematical Economics, Bielefeld University)

  • Tangpi, Ludovic

    (Center for Mathematical Economics, Bielefeld University)

  • Wang, Shichun

    (Center for Mathematical Economics, Bielefeld University)

Abstract

This paper studies the relation between equilibria in single-period, discrete-time and continuous-time mean field game models. First, for single-period mean field games, we establish the existence of equilibria and then prove the propagation of the Lasry-Lions monotonicity to the optimal equilibrium value, as a function of the realization of the initial condition and its distribution. Secondly, we prove a pasting property for equilibria; that is, we construct equilibria to multi-period discrete-time mean field games by recursively pasting the equilibria of suitably initialized single- period games. Then, we show that any sequence of equilibria of discrete-time mean field games with discretized noise converges (up to a subsequence) to some equilibrium of the continuous-time mean field game as the mesh size of the discretization tends to zero. When the cost functions of the game satisfy the Lasry-Lions monotonicity property, we strengthen this convergence result by providing a sharp convergence rate.

Suggested Citation

  • Dianetti, Jodi & Nendel, Max & Tangpi, Ludovic & Wang, Shichun, 2025. "Pasting of Equilibria and Donsker-type Results for Mean Field Games," Center for Mathematical Economics Working Papers 743, Center for Mathematical Economics, Bielefeld University.
  • Handle: RePEc:bie:wpaper:743
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    File URL: https://pub.uni-bielefeld.de/download/3006246/3006248
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    References listed on IDEAS

    as
    1. Martin Hutzenthaler & Arnulf Jentzen & Thomas Kruse & Tuan Anh Nguyen, 2020. "A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations," Partial Differential Equations and Applications, Springer, vol. 1(2), pages 1-34, April.
    2. Jodi Dianetti & Giorgio Ferrari & Markus Fischer & Max Nendel, 2023. "A Unifying Framework for Submodular Mean Field Games," Mathematics of Operations Research, INFORMS, vol. 48(3), pages 1679-1710, August.
    3. Lacker, Daniel, 2015. "Mean field games via controlled martingale problems: Existence of Markovian equilibria," Stochastic Processes and their Applications, Elsevier, vol. 125(7), pages 2856-2894.
    4. Ludovic Tangpi & Shichun Wang, 2022. "Optimal Bubble Riding: A Mean Field Game with Varying Entry Times," Papers 2209.04001, arXiv.org, revised Jan 2024.
    5. Naci Saldi & Tamer Bas¸ ar & Maxim Raginsky, 2020. "Approximate Markov-Nash Equilibria for Discrete-Time Risk-Sensitive Mean-Field Games," Mathematics of Operations Research, INFORMS, vol. 45(4), pages 1596-1620, November.
    6. Naci Saldi & Tamer Başar & Maxim Raginsky, 2023. "Partially Observed Discrete-Time Risk-Sensitive Mean Field Games," Dynamic Games and Applications, Springer, vol. 13(3), pages 929-960, September.
    7. Gabriel Y. Weintraub & C. Lanier Benkard & Benjamin Van Roy, 2008. "Markov Perfect Industry Dynamics With Many Firms," Econometrica, Econometric Society, vol. 76(6), pages 1375-1411, November.
    8. René Carmona & Daniel B. Cooney & Christy V. Graves & Mathieu Laurière, 2022. "Stochastic Graphon Games: I. The Static Case," Mathematics of Operations Research, INFORMS, vol. 47(1), pages 750-778, February.
    9. Zhang, Xicheng, 2005. "Strong solutions of SDES with singular drift and Sobolev diffusion coefficients," Stochastic Processes and their Applications, Elsevier, vol. 115(11), pages 1805-1818, November.
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