Stochastic differential delay equations of population dynamics

被引:143
作者
Mao, XR [1 ]
Yuan, CG
Zou, JZ
机构
[1] Univ Strathclyde, Dept Stat & Modelling Sci, Glasgow G1 1XH, Lanark, Scotland
[2] Univ Coll Swansea, Dept Math, Swansea SA2 8PP, W Glam, Wales
[3] Cent S Univ, Sch Math & Comp Sci, Changsha 410075, Peoples R China
关键词
Brownian motion; stochastic differential delay equation; Ito's formula; persistence; stability boundedness;
D O I
10.1016/j.jmaa.2004.09.027
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper we stochastically perturb the delay Lotka-Volterra model (t) = diag(x(1)(t),...,x(n)(t)) [A(x(t-(x) over bar) + B(x(t-tau)-(x) over bar)] into the stochastic delay differential equation (SDDE) dx(t) = diag(x(1)(t),...,x(n)(t)){[A(X(t)-(x) over bar) + B(x(t-tau)-(x) over bar)]dt+sigma(x(t)-(x) over bar )dw(t)}. The main aim is to reveal the effects of environmental noise on the delay Lotka-Volterra model. Our results can essentially be divided into two categories: (i) If the delay Lotka-Volterra model already has some nice properties, e.g., nonexplosion, persistence, and asymptotic stability, then the SDDE will preserve these nice properties provided the noise is sufficiently small. (ii) When the delay Lotka-Volterra model does not have some desired properties, e.g., nonexplosion and boundedness, the noise might make the SDDE achieve these desired properties. (c) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:296 / 320
页数:25
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