A Reaction–Diffusion System of General Gene Expression with Delays

In this paper, a complete analysis is presented to study a reaction–diffusion system of general gene expression with two time delays and with Neumann boundary conditions. The global existence of a unique strong solution and the existence of an attractor are established. Using delays as bifurcation parameters, we obtain critical values so that the Hopf bifurcation occurs at a unique equilibrium point. Numerical simulations are provided to illustrate both the stability of the equilibrium point and the emergence of bifurcations. For steady-state solutions, the Maximum Principle is used to obtain the bounds of positive solutions. The conditions for the system to have constant solutions are also investigated.

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Publication Details

Journal
Mathematics
Published
2026-02-04
DOI
https://doi.org/10.3390/math14030563
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

A Reaction–Diffusion System of General Gene Expression with Delays

Xiaoqin P. Wu, Liancheng Wang
Mathematics
Gene Regulatory Network Analysis
article

A Reaction–Diffusion System of General Gene Expression with Delays

Xiaoqin P. Wu, Liancheng Wang
article en

Abstract

In this paper, a complete analysis is presented to study a reaction–diffusion system of general gene expression with two time delays and with Neumann boundary conditions. The global existence of a unique strong solution and the existence of an attractor are established. Using delays as bifurcation parameters, we obtain critical values so that the Hopf bifurcation occurs at a unique equilibrium point. Numerical simulations are provided to illustrate both the stability of the equilibrium point and the emergence of bifurcations. For steady-state solutions, the Maximum Principle is used to obtain the bounds of positive solutions. The conditions for the system to have constant solutions are also investigated.

MathematicsVol. 14(3)
Kennesaw State University (US), Mississippi Valley State University (US)
Openalex Percentile: Top 67%
Gene Regulatory Network Analysis
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