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Almost sure permanence of stochastic single species models

Research output: Contribution to journalArticlepeer-review

Abstract

A new definition of almost sure permanence of stochastic population systems is proposed in this paper. We consider the stochastic logistic model dx(t)=x(t)[a(t)-b(t)xθ(t)]dt+σ(t)x(t)dB(t), where B(t) is a standard Brownian motion and θ is a positive constant. Under a simple assumption, a interesting result is obtained as follows:. 0<limt→∞inf x(t) ≤ limt→∞supx(t) <∞a.s. The result is analogous to the result in the deterministic case. And some numerical simulations are introduced to support our main results at the end.

Original languageEnglish
Pages (from-to)675-683
Number of pages9
JournalJournal of Mathematical Analysis and Applications
Volume422
Issue number1
DOIs
StatePublished - 1 Feb 2015
Externally publishedYes

Keywords

  • Almost sure permanence
  • Brownian motion
  • Logistic equation
  • Non-negative semimartingale convergence theorem

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