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 language | English |
|---|---|
| Pages (from-to) | 675-683 |
| Number of pages | 9 |
| Journal | Journal of Mathematical Analysis and Applications |
| Volume | 422 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Feb 2015 |
| Externally published | Yes |
Keywords
- Almost sure permanence
- Brownian motion
- Logistic equation
- Non-negative semimartingale convergence theorem
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