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具有Logistic增长和时滞的HIV-1感染模型的Hopf分支 被引量:2

Hopf bifurcation analysis in a HIV-1 infection model with delays and logistic growth
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摘要 研究目标细胞具有Logistic增长、细胞间可以传播的、带有两个时滞的HIV-1病毒感染模型,两个时滞分别为细胞因病毒引起感染过程的时滞和病毒在感染细胞内繁殖的时滞。讨论在不同情况下各个平衡点存在的条件,通过分析特征方程,建立三个平衡点的局部稳定性和把两个时滞作为分支参数时Hopf分支的存在性。结论显示:两个时滞对琐细平衡点和边界平衡点的局部稳定性没有影响,但可能使正平衡点扰动,进而可能存在周期解。数值模拟验证了所得结论。 Consider the dynamical behavior of a HIV-1 infection model with Logistic growth for target cells and two discrete delays, namely the infection delay caused by free virus and the virus production delay. It is shown that the existence of the positive equilibriums in different conditions. By analyzing the characteristic equations, the local stability of the three equilibriums of the model and the existence of Hopf bifurcations when two delays are used as the bifurcation parameter are established. The results exhibit that both delays do not affect the stability of the boundary equilibrium. However, they are able to destabilize the positive equilibrium and cause periodic solutions. Numerical simulations are carried out to explain the mathematical conclusions.
出处 《黑龙江大学自然科学学报》 CAS 北大核心 2016年第5期561-570,共10页 Journal of Natural Science of Heilongjiang University
基金 国家自然科学基金资助项目(61174209) 北京科技大学冶金工程研究院基础研究基金资助项目(YJ2012-001)
关键词 HIV-1 LOGISTIC增长 时滞 局部稳定性 HOPF分支 HIV-1 Logistic growth delay local stability Hopf bifurcation
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  • 1CIUPE M S,BIVOR B L, BOHTZ D M,et al. Estimating kinetic parameters from HIV primary infection data through the eyes of three differentmathematical models [ J ]. Mathematical Biosciences,2006,200 (1 ) ; 1-27.
  • 2BOER R J D, PERELSON A S. Target cell limited and immune control models of HIV infection: a comparison[ J]. Joumai of Theoretical Biology,1998,190(3) : 201 -214.
  • 3CULSHAW R V,RUAN S,WEBB G. A mathematical model of cell-to-cell spread of HIV-1 that includes a time delay [ J ]. Joumai of MathematicalBiology, 2003, 46(5) : 425 -444.
  • 4LAI X L, ZOU X F, Modeling HIV-1 virus dynamics with both virus-to-cell infection and cell-to-cell transmission[ J]. SIAM Joumai on AppliedMathematics, 2014, 74(3) : 898 -917.
  • 5LAI X L, ZOU X F. Modeling cell-to-cell spread of HIV-1 with logistic target cell growth[ J]. Joumai of Mathematical Analysis and Applications,2015, 426(1) : 563 -584.
  • 6HU Z X,LIU X D, WANG H, et al. Analysis of the dynamics of a delayed HIV pathogenesis model[ J]. Joumai of Computational and AppliedMathematics, 2010,234(2) : 461 -476.
  • 7PAWELEK K A, LIU S Q, PAHLEVANI F, et al. A model of HIV-1 infection with two time delays: mathematical analysis and comparison with pa-tient data [ J ]. Mathematical Biosciences, 2012,235 (1 ) : 98 - 109.
  • 8TIPSRI S, CHINVIRIYASIT W. The effect of time delay on the dynamics of an SEIR model with nonlinear incidence[ J]. Chaos, Solitons & Frac-tals, 2015,75: 153 -172.
  • 9HU Z X,ZHANG J J,WANG H,et al. Dynamics analysis of a delayed viral infection model with logistic growth and immune impairment[ J]. Ap-plied Mathematical Modelling, 2014, 38(2) : 524 -534.
  • 10ERIC A V,NOE C C, GERARDO EGA, et al. Stability and Hopf bifurcation in a delayed viral infection model with mitosis transmission [ J ].Applied Mathematics and Computation, 2015,259 : 293 - 312.

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