Stochastic bifurcation and density function analysis of a stochastic logistic equation with distributed delay and weak kernel
Xiaofeng Zhang and
Rong Yuan
Mathematics and Computers in Simulation (MATCOM), 2022, vol. 195, issue C, 56-70
Abstract:
Stochastic bifurcation theory plays an important role in stochastic dynamical systems, thus, in this paper, we mainly consider the stochastic bifurcation of a stochastic logistic model with distributed delay in the weak kernel case, where the birth rate of species is disturbed by white noise. In order to study the bifurcation of stochastic logistic system, we use the intrinsic growth rate of species as a bifurcation parameter. Firstly, we study the stochastic D-bifurcation and stochastic P-bifurcation for stochastic logistic model with distributed delay. Furthermore, by deriving the corresponding Fokker–Planck equation, we obtain the exact expression of the joint density function of the stochastic system near the positive equilibrium point. Finally, we give some conclusions.
Keywords: Stochastic logistic model; Distributed delay; Weak kernel; Stochastic bifurcation; Density function (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475421004572
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:195:y:2022:i:c:p:56-70
DOI: 10.1016/j.matcom.2021.12.023
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().