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Transition chaos in fractional order Cournot duopoly game model on scale-free network
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In this study, an Cournot duopoly model describing conformable
fractional order differential equations with piecewise constant
arguments is discussed. We have obtained two dimensional discrete
dynamical system as a result of the discretization process is applied to
the model. By using the center manifold theorem and the bifurcation
theory, it is shown that the discrete dynamical system undergoes flip
bifurcation about the Nash equilibrium point. Phase portraits,
bifurcation diagrams, Lyaponov exponents show the existence of many
complex dynamical behavior in the model such as stable equilibrium
point, period-2 orbit, period-4 orbit, period-8 orbit, period-16 orbit
and chaos according to changing the speed of adjustment parameter v 1 .
Discrete Cournot duopoly game model is also considered on a Scale free
network with N=10 and N=100 nodes. It is observed that the
complex dynamical network exhibits similar dynamical behavior such as
stable equilibrium point, Flip bifurcation and chaos depending on the
changing the coupling strength parameter c s . Moreover, flip
bifurcation and transition chaos happen earlier in more heterogeneous
networks. Calculating the Largest Lyapunov exponents guarantee the
transition from nonchaotic to chaotic states in complex dynamical
networks.
Title: Transition chaos in fractional order Cournot duopoly game model on scale-free network
Description:
In this study, an Cournot duopoly model describing conformable
fractional order differential equations with piecewise constant
arguments is discussed.
We have obtained two dimensional discrete
dynamical system as a result of the discretization process is applied to
the model.
By using the center manifold theorem and the bifurcation
theory, it is shown that the discrete dynamical system undergoes flip
bifurcation about the Nash equilibrium point.
Phase portraits,
bifurcation diagrams, Lyaponov exponents show the existence of many
complex dynamical behavior in the model such as stable equilibrium
point, period-2 orbit, period-4 orbit, period-8 orbit, period-16 orbit
and chaos according to changing the speed of adjustment parameter v 1 .
Discrete Cournot duopoly game model is also considered on a Scale free
network with N=10 and N=100 nodes.
It is observed that the
complex dynamical network exhibits similar dynamical behavior such as
stable equilibrium point, Flip bifurcation and chaos depending on the
changing the coupling strength parameter c s .
Moreover, flip
bifurcation and transition chaos happen earlier in more heterogeneous
networks.
Calculating the Largest Lyapunov exponents guarantee the
transition from nonchaotic to chaotic states in complex dynamical
networks.
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