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Zero-sum stochastic games in continuous-time with risk-sensitive average cost criterion on a countable state space

  • *Corresponding author: Somnath Pradhan

    *Corresponding author: Somnath Pradhan

The third author is partially supported by [SERB, India, grant MTR/2021/000307].

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  • We consider zero-sum stochastic games in continuous time with controlled Markov chains and with risk-sensitive average cost criterion. Here the transition and the cost rates may be unbounded. We prove the existence of the value of the game and a saddle-point equilibrium in the class of all stationary strategies under a Lyapunov stability condition. This is accomplished by establishing the existence of a principal eigenpair for the corresponding Hamilton-Jacobi-Isaacs (HJI) equation. This, in turn, is established by using a nonlinear version of Krein-Rutman theorem. We then obtain a characterization of the saddle-point equilibrium in terms of the corresponding HJI equation. Finally, we use a controlled population system to illustrate our results.

    Mathematics Subject Classification: Primary: 91A15, 91A25; Secondary: 60J27.

    Citation:

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