| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 47 | |
| Number of page(s) | 67 | |
| DOI | https://doi.org/10.1051/cocv/2026030 | |
| Published online | 15 June 2026 | |
Turnpike properties in linear quadratic Gaussian N-player differential games
Department of Mathematics, University of Michigan,
Ann Arbor,
MI
48109,
USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
24
September
2025
Accepted:
6
April
2026
Abstract
We consider the long-time behavior of equilibrium strategies and state trajectories in a linear quadratic N-player game with Gaussian initial data. By comparing the finite-horizon game with its ergodic counterpart, we establish exponential convergence estimates between the solutions of the finite-horizon generalized Riccati system and the associated algebraic system arising in the ergodic setting. Building on these results, we prove the convergence of the time-averaged value function and derive a turnpike property for the equilibrium pairs of each player. Importantly, our approach avoids reliance on the mean field game limiting model, allowing for a fully uniform analysis with respect to the number of players N. As a result, we further establish a uniform turnpike property for the equilibrium pairs between the finite-horizon and ergodic games with N players. Numerical experiments are also provided to illustrate and support the theoretical results.
Mathematics Subject Classification: 91A15 / 49N10 / 91A23 / 49N70 / 34H05
Key words: Stochastic differential games / turnpike property / Riccati equations / forward–backward equations / mean field games / ergodic games
© The authors. Published by EDP Sciences, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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