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Chenciner Bifurcation Presenting a Further Degree of Degeneration

Author

Listed:
  • Sorin Lugojan

    (Department of Mathematics, Politehnica University of Timisoara, 300006 Timisoara, Romania
    These authors contributed equally to this work.)

  • Loredana Ciurdariu

    (Department of Mathematics, Politehnica University of Timisoara, 300006 Timisoara, Romania
    These authors contributed equally to this work.)

  • Eugenia Grecu

    (Department of Management, Politehnica University of Timisoara, 300006 Timisoara, Romania
    These authors contributed equally to this work.)

Abstract

Chenciner bifurcation appears for some two-dimensional systems with discrete time having two independent variables. Investigated here is a special case of degeneration where the implicit function theorem cannot be used around the origin, so a new approach is necessary. In this scenario, there are many more bifurcation diagrams than in the two non-degenerated cases. Several numerical simulations are presented.

Suggested Citation

  • Sorin Lugojan & Loredana Ciurdariu & Eugenia Grecu, 2022. "Chenciner Bifurcation Presenting a Further Degree of Degeneration," Mathematics, MDPI, vol. 10(9), pages 1-17, May.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1603-:d:811094
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    References listed on IDEAS

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    1. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
    2. Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016. "Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
    3. Michael Neugart & Jan Tuinstra, 2003. "Endogenous fluctuations in the demand for education," Journal of Evolutionary Economics, Springer, vol. 13(1), pages 29-51, February.
    4. Chang, Xiao-Heng & Jin, Xue, 2022. "Observer-based fuzzy feedback control for nonlinear systems subject to transmission signal quantization," Applied Mathematics and Computation, Elsevier, vol. 414(C).
    5. Abdel-Gawad, Hamdy I. & Abdel-Gawad, Ahmed H., 2021. "Discrete and continuum models of COVID-19 virus, formal solutions, stability and comparison with real data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 222-230.
    6. Alexander Sukhinov & Yulia Belova & Alexander Chistyakov & Alexey Beskopylny & Besarion Meskhi, 2021. "Mathematical Modeling of the Phytoplankton Populations Geographic Dynamics for Possible Scenarios of Changes in the Azov Sea Hydrological Regime," Mathematics, MDPI, vol. 9(23), pages 1-16, November.
    7. Wang, Xinhe & Lu, Junwei & Wang, Zhen & Li, Yuxia, 2020. "Dynamics of discrete epidemic models on heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    8. Luis-M. Sánchez-Ruiz & Santiago Moll-López & Jose-Antonio Moraño-Fernández & María-Dolores Roselló, 2021. "Dynamical Continuous Discrete Assessment of Competencies Achievement: An Approach to Continuous Assessment," Mathematics, MDPI, vol. 9(17), pages 1-16, August.
    9. Mencinger, Matej & Ferčec, Brigita & Oliveira, Regilene & Pagon, Dušan, 2017. "Cyclicity of some analytic maps," Applied Mathematics and Computation, Elsevier, vol. 295(C), pages 114-125.
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    1. Sorin Lugojan & Loredana Ciurdariu & Eugenia Grecu, 2022. "Another Case of Degenerated Discrete Chenciner Dynamic System and Economics," Mathematics, MDPI, vol. 10(20), pages 1-19, October.

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