Controls of the complex dynamics of a multi-market Cournot model E. Ahmed a , M.F. Elettreby a,b a Mathematics Department, Faculty of Science, Mansoura University, Mansoura 35516, Egypt b Mathematics Department, Faculty of Science, King Khaled University, Abha 9004, Saudi Arabia abstract article info Article history: Accepted 12 November 2013 Keywords: Cournot Bounded rationality Steady state Stability Bifurcation Chaos In this paper, a multi-market Cournot game is proposed based on a specic inverse demand function. The game is studied statically and dynamically. Puu's incomplete information approach, as a realistic method, is used to con- tract the corresponding dynamical model under this function. Therefore, some stability analysis is carried out on the model to detect the stability and instability conditions of the system's Nash equilibrium. Based on that anal- ysis some dynamic phenomena such as bifurcation and chaos are found. Under certain assumption, chaos control is performed in order to control the monopolistic model. Furthermore, a dynamic multi-market Cournot model is introduced. © 2013 Elsevier B.V. All rights reserved. 1. Introduction Cournot competition is an economic model used to describe the competition between some companies on the amount of output they will produce (Cournot, 1897). Here, a generalization of this game to the case of two markets is done. It is shown that the resulting dynamics is quite rich. In Sections 2 and 3, we begin with monopoly in two mar- kets using Puu's incomplete information dynamics (Ahmed et al., 2006). It is more realistic than the standard bounded rationality since prots may not be known as functions but only as quantities (Puu, 1991). The dynamic behavior shows cycles and chaos. In Section 4, chaos control is studied for the monopoly case. In Section 5, duopoly case is studied in two markets. The dynamical features of the proposed system are studied numerically. Due to the difculty in dealing with such systems, because of complex phenomena found such as bifurcation and chaos, some numerical simulation is carried out to investigate the impact of those phenomena on the behavior of the system. 2. Static multi-market Cournot model In this model, the products are near substitutes but different in the quality levels. So, rms can charge different prices for different markets. Suppose we have n rms (n 2) that compete in two inter-related markets A and B. Bowley (1924) has introduced the demand function in the form; p i ¼ α i -q i -θ X ji q j ; ð1Þ where 0 θ 1. A lot of papers (Chakrabarti and Haller, 2007; Dixit, 1979; Spence, 1976) used this form in their work. Billand et al. (2010) used the same demand function with θ = 1. Let the demand in the market A for the rm i be; p i ¼ a i -q i - X ji q j ; ð2Þ where p i is the rm i's price, q i is the rm i's quantity and the constant a i N 0 for market A. The demand in the market B for the rm i is; P i ¼ b i -Q i - X ji Q j ; ð3Þ where P i is the rm i's price, Q i is the rm i's quantity and the constant b i N 0 for market B. The cost function of the rm i is; C i q i ; Q i ð Þ¼ 1 2 q i þ Q i ð Þ 2 ; ð4Þ hence the prot of the rm i is given by; π i ¼ p i q i þ P i Q i -C i q i ; Q i ð Þ: ð5Þ This form of the prot function (5) satises the joint disecon- omies 2 π i q i Q i ¼ -1b0 and strategic substitute 2 π i Q i Q i ¼ -1b0 properties. Economic Modelling 37 (2014) 251254 E-mail address: mohfathy@mans.edu.eg (M.F. Elettreby). 0264-9993/$ see front matter © 2013 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.econmod.2013.11.016 Contents lists available at ScienceDirect Economic Modelling journal homepage: www.elsevier.com/locate/ecmod