2015
DOI: 10.1016/j.biosystems.2015.01.004
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On stochastic Gilpin–Ayala population model with Markovian switching

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Cited by 30 publications
(17 citation statements)
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References 29 publications
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“…Thus, for any given positive constant K, there exists a sufficient large N 0 such that [15] we obtain the first part of the theorem. Now we prove the second part.…”
Section: Stationary Distributionmentioning
confidence: 72%
See 2 more Smart Citations
“…Thus, for any given positive constant K, there exists a sufficient large N 0 such that [15] we obtain the first part of the theorem. Now we prove the second part.…”
Section: Stationary Distributionmentioning
confidence: 72%
“…i) For all i ∈ S, σ 2 (i) = 0, then model (5) reduces to model (3), and the condition θ(i) + 1 2γ(i) for each i ∈ S can be removed, then we get the same result as that in Settati et. al (2015) [15].…”
Section: Stationary Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…Construct Lyapunov functional W(t) = e μt V 1 (t) + V 2 (t). Applying Equations (20) and (30), we have…”
Section: Global Exponential Stabilitymentioning
confidence: 99%
“…The nonlinear item and the regime-switching mechanism exist in the model simultaneously, which might make the problem more complicated (see e.g. [18,19], and [17] for more details). Based on this motivation, our aim is to tackle this issue.…”
Section: Introductionmentioning
confidence: 99%