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Research on the price game model for four oligarchs with different decision rules and its chaos control

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Abstract

Based on the actual competition in the Chinese property insurance market, the repeated price game model for four oligarchs with different decision rules is built. On the basis of analyzing the stabilities of eight fixed points about the four-dimensional dynamic system, the Nash equilibrium and its local stable region are discussed mainly. Then the complexity of the four-dimensional discrete dynamic system and its evolutionary process are studied. Finally, the delay feedback control method is used to control the chaos. Numerical simulation results have shown that the influence which the change of price adjustment speed has on the movement of dynamic system has a sensitive dependence on the initial conditions, and there is a strong connection between the profit of each oligarch and the price adjustment speed or the control parameters, and the corresponding economic explanation to those phenomena will have important reference values to the realistic problems.

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References

  1. Jiang, H.: Game analysis for the action of oligarchic enterprise. J. Anhui Univ. Technol. Nat. Sci. 22(3), 304–307 (2005)

    Google Scholar 

  2. Gong, Y., Li, B.: Analysis of price and differentiation strategies in triopoly market with different game structures. Syst. Eng. 28(4), 59–63 (2010)

    Google Scholar 

  3. Ma, J., Ji, W.: Complexity of repeated game model in electric power triopoly. Chaos Solitons Fractals 40, 1735–1740 (2009)

    Article  MATH  Google Scholar 

  4. Elabbasy, E.M., Agiza, H.N., Elsadany, A.A.: Analysis of nonlinear triopoly game with heterogeneous players. Comput. Math. Appl. 57, 488–499 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  5. Chen, F., Ma, J., Chen, X.: The study of dynamic process of the triopoly games in Chinese 3G telecommunication market. Chaos Solitons Fractals 42(3), 1542–1551 (2009)

    Article  MATH  Google Scholar 

  6. Ma, J., Gao, Q.: Analysis on the chaotic motion of a stochastic nonlinear dynamic system. Comput. Math. Appl. 87(14), 3266–3272 (2010)

    MathSciNet  MATH  Google Scholar 

  7. Xin, B., Ma, J.: Neimark-Sacker bifurcation in a discrete-time financial system. Discrete Dyn. Nat. Soc. 2010, 405639 (2010) 12 pp.

    Article  MathSciNet  Google Scholar 

  8. Gao, Q., Ma, J.: Chaos and Hopf bifurcation of a finance system. Nonlinear Dyn. 58, 209–216 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Szydlowski, M., Krawiec, A.: The stability problem in the Kaldor–Kalecki business cycle model. Chaos Solitons Fractals 25(7), 299–305 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  10. Xu, C., Tang, X., Liao, M., He, X.: Bifurcation analysis in a delayed Lotka–Volterra predator–prey model with two delays. Nonlinear Dyn. 66, 169–183 (2010)

    Article  MathSciNet  Google Scholar 

  11. Sun, Z., Ma, J.: Complexity of triopoly price game in Chinese cold rolled steel market. Nonlinear Dyn. 67, 2001–2008 (2012)

    Article  Google Scholar 

  12. Hu, R., Chen, Q., Wang, Q.: Competition analysis and chaos control of R&D in duopoly with heterogeneous rationality. Control Decis. 25(10), 1536–1542 (2010)

    MathSciNet  Google Scholar 

  13. Dixit, A.: Comparative statics for oligopoly. Int. Econ. Rev. 27(3), 107–122 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  14. Zhang, J., Da, Q.: Analysis of duopoly game with different rationality in oligopoly market. J. Southeast Univ. Nat. Sci. 36(6), 1029–1033 (2006)

    MathSciNet  MATH  Google Scholar 

  15. Bischi, G.I., Naimzada, A.: Global analysis of a dynamic duopoly game with bounded rationality. In: Advanced in Dynamics Games and Application, pp. 89–112. Birkhauser, Basel (1999)

    Google Scholar 

  16. Li, C., Peng, J., Huang, Q.: Controlling synchronization of chaos and hyperchaos systems. J. Northeast Norm. Univ. Nat. Sci. 33(3), 43–47 (2001)

    Google Scholar 

  17. Puu, T.: Attractors, Bifurcations and Chaos: Nonlinear Phenomena in Economics. Springer, Berlin (2000)

    MATH  Google Scholar 

Download references

Acknowledgement

This work was supported by the foundation: the Doctoral Scientific Fund Project of the Ministry of Education of China under contract 20090032110031.

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Correspondence to Junhai Ma.

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Zhang, J., Ma, J. Research on the price game model for four oligarchs with different decision rules and its chaos control. Nonlinear Dyn 70, 323–334 (2012). https://doi.org/10.1007/s11071-012-0457-4

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