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Bridging Finite and Infinite-Horizon Nash Equilibria in Linear Quadratic Games

Published: August 28, 2025 | arXiv ID: 2508.20675v1

By: Giulio Salizzoni, Sophie Hall, Maryam Kamgarpour

Potential Business Impact:

Finds best game moves that repeat or change.

Business Areas:
Financial Exchanges Financial Services, Lending and Investments

Finite-horizon linear quadratic (LQ) games admit a unique Nash equilibrium, while infinite-horizon settings may have multiple. We clarify the relationship between these two cases by interpreting the finite-horizon equilibrium as a nonlinear dynamical system. Within this framework, we prove that its fixed points are exactly the infinite-horizon equilibria and that any such equilibrium can be recovered by an appropriate choice of terminal costs. We further show that periodic orbits of the dynamical system, when they arise, correspond to periodic Nash equilibria, and we provide numerical evidence of convergence to such cycles. Finally, simulations reveal three asymptotic regimes: convergence to stationary equilibria, convergence to periodic equilibria, and bounded non-convergent trajectories. These findings offer new insights and tools for tuning finite-horizon LQ games using infinite-horizon.

Country of Origin
🇨🇭 Switzerland

Page Count
7 pages

Category
Computer Science:
Multiagent Systems