Stability in distribution of a stochastic predator–prey system with S-type distributed time delays
Sheng Wang,
Guixin Hu,
Tengda Wei and
Linshan Wang
Physica A: Statistical Mechanics and its Applications, 2018, vol. 505, issue C, 919-930
Abstract:
This paper concerns the dynamics of a stochastic predator–prey Lotka–Volterra system with S-type distributed time delays. Sufficient conditions for the stability in distribution of the solutions (SDS) to the system are obtained. The results show that the dynamic scenarios of the SDS are completely characterized by two parameters δ1>δ2, among which δ1 is just related to the environmental noise, while δ2 is closely related to both time delays and environmental noises: if δ2>0, then the distributions of prey–predator converge weakly to a unique ergodic invariant distribution (UEID); if δ1>0>δ2, then the predator goes to extinction, while the distributions of prey converge weakly to a UEID; if 0>δ1, then both the predator and prey go to extinction.
Keywords: Stability; Predator–prey system; Lotka–Volterra system; Time delay (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118303972
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:phsmap:v:505:y:2018:i:c:p:919-930
DOI: 10.1016/j.physa.2018.03.078
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().