z-logo
open-access-imgOpen Access
Dynamic Analysis on a Diffusive Two‐Enterprise Interaction Model with Two Delays
Author(s) -
Yanxia Zhang,
Long Li
Publication year - 2022
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2022/3466954
Subject(s) - hopf bifurcation , center manifold , stability (learning theory) , bifurcation , mathematics , oscillation (cell signaling) , steady state (chemistry) , instability , diffusion , series (stratigraphy) , mathematical analysis , partial differential equation , computer science , physics , mechanics , thermodynamics , nonlinear system , biology , genetics , chemistry , machine learning , quantum mechanics , paleontology
The oscillation and instability of systems caused by time delays have been widely studied over the past several decades. In nature, the phenomenon of diffusion is universal. Therefore, it is necessary to investigate the dynamic behavior of reaction-diffusion systems with time delays. In this study, a two-enterprise interaction model with diffusion and delay effects is considered. By analyzing the distribution of the roots of the corresponding characteristic equation, some conditions for the stability of the unique positive equilibrium and the existence of Hopf bifurcation at the steady state are investigated. As the sum of the time delays changes, there are a series of periodic solutions at the trivial steady-state solution of the system. In addition, the direction of Hopf bifurcation and the stability of the periodic solutions are discussed by using the normal form theory and the center manifold reduction of partial functional differential equations. Finally, numerical simulation experiments are conducted to illustrate the validity of the theoretical conclusions.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom