Abstract
In this paper, the qualitative behavior of two discrete-time glycolysis models is discussed. The discrete-time models are obtained by implementing forward Euler’s scheme and nonstandard finite difference method. The parametric conditions for local asymptotic stability of positive steady-states are investigated. Moreover, we discuss the existence and directions of period-doubling and Neimark–Sacker bifurcations with the help of center manifold theorem and bifurcation theory. OGY feedback control and hybrid control methods are implemented in order to control chaos in discrete-time glycolysis model due to emergence of period-doubling and Neimark–Sacker bifurcations. Numerical simulations are provided to illustrate theoretical discussion.
Similar content being viewed by others
References
E.E. Sel’kov, Self-oscillations in glycolysis. A simple model. Eur. J. Biochem. 4, 79–86 (1968)
S.H. Strogatz, Nonlinear Dynamics and Chaos with Applications to Physics, Biology, Chemistry, and Engineering (Addison-Wesley, New York, 1994)
G.C. Layek, An Introduction to Dynamical Systems and Chaos (Springer, New Delhi, 2015)
A. Goldbeter, R. Lefever, Dissipative structures for an allosteric model: application to glycolytic oscillations. Biophys. J. 12, 1302–1315 (1972)
O. Decroly, A. Goldbeter, Birhythmicity, chaos and other patterns of temporal self-organization in a multiply regulated biochemical system. Proc. Natl. Acad. Sci. USA 79, 6917–6921 (1982)
J. Wolf, J. Passarge, O.J. Somsen, J.L. Snoep, R. Heinrich, H.V. Westerhoff, Transduction of intracellular and intercellular dynamics in yeast glycolytic oscillations. Biophys. J. 78, 1145–1153 (2000)
A. Goldbeter, Biochemical Oscillations and Biological Rhythms (Cambridge University Press, Cambridge, 1996)
F.A. Davidson, B.P. Rynne, A priori bounds and global existence of solutions of the steady-state Sel’kov model. Proc. R. Soc. Edinb. Sect. A 130, 507–516 (2000)
M.X. Wang, Non-constant positive steady-states of the Sel’kov model. J. Differ. Equ. 190(2), 600–620 (2003)
R. Peng, Qualitative analysis of steady states to the Sel’kov model. J. Differ. Equ. 241, 386–398 (2007)
M. Wei, J. Wu, G. Guo, Steady state bifurcations for a glycolysis model in biochemical reaction. Nonlinear Anal. RWA 22, 155–175 (2015)
C.C. Felicio, P.C. Rech, Arnold tongues and the Devil’s Staircase in a discrete-time Hindmarsh–Rose neuron model. Phys. Lett. A 379, 2845–2847 (2015)
A.D. Silva, P.C. Rech, Chaos and periodicity in a discrete-time Baier–Sahle model. Asian J. Math. Comput. Res.arch 15(2), 123–130 (2017)
R. E. Mickens, Positivity preserving discrete model for the coupled ODES modeling glycolysis, in Proceedings of the Fourth International Conference on Dynamical Systems and Differential Equations, May 24–27, Wilmington, NC (2002), pp. 623–629
Q. Din, Global stability and Neimark–Sacker bifurcation of a host-parasitoid model. Int. J. Syst. Sci. 48(6), 1194–1202 (2017)
Q. Din, Neimark–Sacker bifurcation and chaos control in Hassell–Varley model. J. Differ. Equ. Appl. 23(4), 741–762 (2017)
Q. Din, Ö.A. Gümüş, H. Khalil, Neimark–Sacker bifurcation and chaotic behaviour of a modified Host–Parasitoid model. Z. Naturforsch. A 72(1), 25–37 (2017)
Q. Din, Complexity and chaos control in a discrete-time prey–predator model. Commun. Nonlinear Sci. Numer. Simul. 49, 113–134 (2017)
Q. Din, Qualitative analysis and chaos control in a density-dependent host–parasitoid system. Int. J. Dyn. Control (2017). https://doi.org/10.1007/s40435-017-0341-7
Q. Din, Global stability of Beddington model. Qual. Theor. Dyn. Syst. 16(2), 391–415 (2017)
Q. Din, U. Saeed, Bifurcation analysis and chaos control in a host–parasitoid model. Math. Methods. Appl. Sci. (2017). https://doi.org/10.1002/mma.4395
Q. Din, Controlling chaos in a discrete-time prey–predator model with Allee effects. Int. J. Dyn. Control (2017). https://doi.org/10.1007/s40435-017-0347-1
Q. Din, A.A. Elsadany, H. Khalil, Neimark–Sacker bifurcation and chaos control in a fractional-order plant-herbivore model. Discrete Dyn. Nat. Soc. 2017, 1–15 (2017)
Z. He, X. Lai, Bifurcation and chaotic behavior of a discrete-time predator–prey system. Nonlinear Anal. RWA 12, 403–417 (2011)
Z. Jing, J. Yang, Bifurcation and chaos in discrete-time predator–prey system. Chaos Soliton Fract. 27, 259–277 (2006)
X. Liu, D. Xiao, Complex dynamic behaviors of a discrete-time predator–prey system. Chaos Soliton Fract. 32, 80–94 (2007)
H.N. Agiza, E.M. ELabbasy, H. EL-Metwally, A.A. Elsadany, Chaotic dynamics of a discrete prey–predator model with Holling type II. Nonlinear Anal. RWA 10, 116–129 (2009)
B. Li, Z. He, Bifurcations and chaos in a two-dimensional discrete Hindmarsh–Rose model. Nonlinear Dyn. 76(1), 697–715 (2014)
L.-G. Yuan, Q.-G. Yang, Bifurcation, invariant curve and hybrid control in a discrete-time predator–prey system. Appl. Math. Model. 39(8), 2345–2362 (2015)
J. Guckenheimer, P. Holmes, Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields (Springer, New York, 1983)
C. Robinson, Dynamical Systems: Stability (Symbolic Dynamics and Chaos, Boca Raton, 1999)
S. Wiggins, Introduction to Applied Nonlinear Dynamical Systems and Chaos (Springer, New York, 2003)
Y.H. Wan, Computation of the stability condition for the Hopf bifurcation of diffeomorphism on \(R^2\). SIAM. J. Appl. Math. 34, 167–175 (1978)
Y.A. Kuznetsov, Elements of Applied Bifurcation Theory (Springer, New York, 1997)
E. Ott, C. Grebogi, J.A. Yorke, Controlling chaos. Phys. Rev. Lett. 64(11), 1196–1199 (1990)
S. Lynch, Dynamical Systems with Applications Using Mathematica (Birkhäuser, Boston, 2007)
X.S. Luo, G.R. Chen, B.H. Wang et al., Hybrid control of period-doubling bifurcation and chaos in discrete nonlinear dynamical systems. Chaos Solitons Fract. 18, 775–783 (2004)
Acknowledgements
The author is grateful to the referees for their excellent suggestions which greatly improve the presentation of the paper.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Din, Q. Bifurcation analysis and chaos control in discrete-time glycolysis models. J Math Chem 56, 904–931 (2018). https://doi.org/10.1007/s10910-017-0839-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10910-017-0839-4