| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 16 | |
| Number of page(s) | 26 | |
| DOI | https://doi.org/10.1051/cocv/2025102 | |
| Published online | 27 February 2026 | |
Turnpike property of nonzero-sum linear-quadratic differential games
1
Department of Mathematics and SUSTech International Center for Mathematics, Southern University of Science and Technology, Shenzhen, Guangdong 518055, PR China
2
Guangzhou Railway Polytechnic, Guangzhou, Guangdong, 511300, PR China
3
School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin 541004, PR China
4
Center for Applied Mathematics of Guangxi (GUET), Guilin 541004, PR China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
** Co-Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
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Received:
8
November
2024
Accepted:
29
December
2025
Abstract
This paper investigates the turnpike properties of deterministic nonzero-sum linearquadratic (LQ) differential games. Under certain assumptions on the Hamiltonian matrix of the nonzero-sum LQ differential game, we establish the solvability of both the coupled non-symmetric differential Riccati equation (DRE) and the algebraic Riccati equation (ARE). Moreover, we identify the convergence relationship between the DRE and ARE, which is essential for understanding the turnpike properties. Over a finite but sufficiently long time horizon, the open-loop Nash equilibrium is shown to remain exponentially close to the solution of a two-objective optimization problem for the majority of the time horizon.
Mathematics Subject Classification: 49N10 / 49N70 / 91A05 / 91A23
Key words: Turnpike property / nonzero-sum differential games / linear-quadratic / Riccati equation / static optimization
© 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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