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Turnpike properties for zero-sum stochastic linear quadratic differential games of Markovian regime switching system

2025/09/11 by Xun Li, Fan Wu, Li, Xun +3 · 2 citations
Computer Science · Economics, Econometrics and Finance · Engineering · #FOS: Mathematics #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Stability and Control of Uncertain Systems #Stochastic processes and financial applications

paper · pdf · doi:10.48550/arxiv.2509.09358

openalex publication_date 2025/09/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper investigates the long-time behavior of zero-sum stochastic linear-quadratic (SLQ) differential games within Markov regime-switching diffusion systems and establishes the turnpike property of the optimal triple. By verifying the convergence of the associated coupled differential Riccati equations (CDREs) along with their convergence rate, we show that, for a sufficiently large time horizon, the equilibrium strategy in the finite-horizon problem can be closely approximated by that of the infinite-horizon problem. Furthermore, this study enhances and extends existing results concerning zero-sum SLQ differential games over both finite and infinite horizons.

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