Mathematical analysis of a HIV model with quadratic logistic growth term

We consider a model of disease dynamics in the modeling of Human Immunodeficiency Virus (HIV). The system consists of three ODEs for the concentrations of the target T cells, the infected cells and the virus particles. There are two main parameters, $N$, the total number of virions produced by one infected cell, and $r$, the logistic parameter which controls the growth rate. The equilibria corresponding to the infected state are asymptotically stable in a region $(\mathcal I)$, but unstable in a region $(\mathcal P)$. In the unstable region, the levels of the various cell types and virus particles oscillate, rather than converging to steady values. Hopf bifurcations occurring at the interfaces are fully investigated via several techniques including asymptotic analysis. The Hopf points are connected through a ''snake" of periodic orbits. Numerical results are presented.

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Source ISSN: 1531-3492
Author Fan, Xinyue, Brauner, Claude-Michel, Wittkop, Linda
Maintainer CCSD
Last Updated May 17, 2026, 03:10 (UTC)
Created May 17, 2026, 03:10 (UTC)
Identifier hal-00537467
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor School of Mathematical Sciences ; Xiamen University
creator Fan, Xinyue
date 2012-10-17T00:00:00
harvest_object_id e687a06f-151b-46a1-96df-556ea637f88e
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-03-17T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.3934/dcdsb.2012.17.2359
set_spec type:ART