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An Arbitrary Starting Tracing Procedure for Computing Subgame Perfect Equilibria

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  • Peixuan Li

    (City University of Hong Kong)

  • Chuangyin Dang

    (City University of Hong Kong)

Abstract

The computation of subgame perfect equilibrium in stationary strategies is an important but challenging problem in applications of stochastic games. In 2004, Herings and Peeters developed a homotopy method called stochastic linear tracing procedure to solve this problem. However, the starting point of their method requires to be explicitly calculated. To remedy this issue, we formulate an arbitrary starting linear tracing procedure in this paper. By introducing a homotopy variable ranging from two to zero, an artificial penalty game is developed, whose solutions construct a differentiable path after a well-chosen transformation of variables. The starting point of the path can be arbitrarily chosen, so that there is no need to employ additional algorithms to obtain it. Following the path, one can readily attain the “starting point” of the stochastic tracing procedure coined by Herings and Peeters. Then, as the homotopy variable changes from one to zero, the path essentially resumes to the stochastic tracing procedure. We prove that our method globally converges to a subgame perfect equilibrium in stationary strategies for the stochastic game of interest. Numerical results further illustrate the effectiveness and efficiency of our method.

Suggested Citation

  • Peixuan Li & Chuangyin Dang, 2020. "An Arbitrary Starting Tracing Procedure for Computing Subgame Perfect Equilibria," Journal of Optimization Theory and Applications, Springer, vol. 186(2), pages 667-687, August.
  • Handle: RePEc:spr:joptap:v:186:y:2020:i:2:d:10.1007_s10957-020-01703-z
    DOI: 10.1007/s10957-020-01703-z
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    References listed on IDEAS

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    1. Herings, P. Jean-Jacques & Peeters, Ronald J. A. P., 2004. "Stationary equilibria in stochastic games: structure, selection, and computation," Journal of Economic Theory, Elsevier, vol. 118(1), pages 32-60, September.
    2. Yang Zhan & Chuangyin Dang, 2018. "A smooth path-following algorithm for market equilibrium under a class of piecewise-smooth concave utilities," Computational Optimization and Applications, Springer, vol. 71(2), pages 381-402, November.
    3. P. Herings & Ronald Peeters, 2005. "A Globally Convergent Algorithm to Compute All Nash Equilibria for n-Person Games," Annals of Operations Research, Springer, vol. 137(1), pages 349-368, July.
    4. P. Jean-Jacques Herings, 2000. "Two simple proofs of the feasibility of the linear tracing procedure," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 15(2), pages 485-490.
    5. Maskin, Eric & Tirole, Jean, 2001. "Markov Perfect Equilibrium: I. Observable Actions," Journal of Economic Theory, Elsevier, vol. 100(2), pages 191-219, October.
    6. Axel Dreves, 2018. "How to Select a Solution in Generalized Nash Equilibrium Problems," Journal of Optimization Theory and Applications, Springer, vol. 178(3), pages 973-997, September.
    7. Adlakha, Sachin & Johari, Ramesh & Weintraub, Gabriel Y., 2015. "Equilibria of dynamic games with many players: Existence, approximation, and market structure," Journal of Economic Theory, Elsevier, vol. 156(C), pages 269-316.
    8. Herbert E. Scarf, 1967. "The Approximation of Fixed Points of a Continuous Mapping," Cowles Foundation Discussion Papers 216R, Cowles Foundation for Research in Economics, Yale University.
    9. Eaves, B. Curtis & Schmedders, Karl, 1999. "General equilibrium models and homotopy methods," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1249-1279, September.
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    Cited by:

    1. Li, Peixuan & Dang, Chuangyin & Herings, P.J.J., 2023. "Computing Perfect Stationary Equilibria in Stochastic Games," Discussion Paper 2023-006, Tilburg University, Center for Economic Research.
    2. Cao, Yiyin & Dang, Chuangyin & Xiao, Zhongdong, 2022. "A differentiable path-following method to compute subgame perfect equilibria in stationary strategies in robust stochastic games and its applications," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1032-1050.
    3. Chuangyin Dang & P. Jean-Jacques Herings & Peixuan Li, 2022. "An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1403-1418, May.
    4. Herings, P. Jean-Jacques & Zhan, Yang, 2021. "The computation of pairwise stable networks," Research Memorandum 004, Maastricht University, Graduate School of Business and Economics (GSBE).

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