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Hopf Bifurcation and Stability of Periodic Solutions for Delay Differential Model of HIV Infection of CD4 + T-cells

Author

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  • P. Balasubramaniam
  • M. Prakash
  • Fathalla A. Rihan
  • S. Lakshmanan

Abstract

This paper deals with stability and Hopf bifurcation analyses of a mathematical model of HIV infection of T-cells. The model is based on a system of delay differential equations with logistic growth term and antiretroviral treatment with a discrete time delay, which plays a main role in changing the stability of each steady state. By fixing the time delay as a bifurcation parameter, we get a limit cycle bifurcation about the infected steady state. We study the effect of the time delay on the stability of the endemically infected equilibrium. We derive explicit formulae to determine the stability and direction of the limit cycles by using center manifold theory and normal form method. Numerical simulations are presented to illustrate the results.

Suggested Citation

  • P. Balasubramaniam & M. Prakash & Fathalla A. Rihan & S. Lakshmanan, 2014. "Hopf Bifurcation and Stability of Periodic Solutions for Delay Differential Model of HIV Infection of CD4 + T-cells," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-18, August.
    • Handle: RePEc:hin:jnlaaa:838396
    DOI: 10.1155/2014/838396
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    Cited by:

    1. Zhang, Tongqian & Xu, Xinna & Wang, Xinzeng, 2023. "Dynamic analysis of a cytokine-enhanced viral infection model with time delays and CTL immune response," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    2. Veronika Novotná & Vladěna Štěpánková, 2015. "Parameter Estimation for Dynamic Model of the Financial System," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2051-2055.
    3. Prakash, M. & Rakkiyappan, R. & Manivannan, A. & Cao, Jinde, 2019. "Dynamical analysis of antigen-driven T-cell infection model with multiple delays," Applied Mathematics and Computation, Elsevier, vol. 354(C), pages 266-281.

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