2014
DOI: 10.1016/j.amc.2014.07.012
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Stationary distribution of stochastic population systems under regime switching

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Cited by 83 publications
(53 citation statements)
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“…Moreover, they demonstrated that the solution is stochastically ultimately bounded and the time average of the second moment of the solution is also bounded. Very recently, Settati and Lahrouz (2014) have investigated the positive recurrence of an n-species model of facultative mutualism under regime switching system. Li et al (2009) discussed the stochastic permanence and extinction of a Lotka-Volterra system under regime switching, and they gave an estimation of the limit of the average in time of the sample path.…”
Section: Q3mentioning
confidence: 99%
“…Moreover, they demonstrated that the solution is stochastically ultimately bounded and the time average of the second moment of the solution is also bounded. Very recently, Settati and Lahrouz (2014) have investigated the positive recurrence of an n-species model of facultative mutualism under regime switching system. Li et al (2009) discussed the stochastic permanence and extinction of a Lotka-Volterra system under regime switching, and they gave an estimation of the limit of the average in time of the sample path.…”
Section: Q3mentioning
confidence: 99%
“…This method has been utilized by many authors (see e.g. [18,20,21]). Studying such problem is meaningful and challenging.…”
Section: Introductionmentioning
confidence: 98%
“…The switching between environmental regimes is often memoryless and the waiting time for the next switching follows the exponential distribution [18]. Hence the regime switching can be modeled by a continuous time Markov chain (r(t)) t≥0 taking values in a finite state space.…”
Section: Introductionmentioning
confidence: 99%
“…Lemma 12 (see [77]). System (7) Moreover, the Markov process ( ( ), ( )) has a unique ergodic stationary distribution (⋅, ⋅).…”
Section: Theorem 10 Given Initial Valuementioning
confidence: 99%
“…Furthermore, the prey-predator model may be perturbed by telegraph noise which is distinguished by factors such as rain falls and nutrition and can be represented by switching among two or more regimes of environment [40,60,[70][71][72][73][74][75][76][77][78][79][80]. For example, population growth rates in different seasons are not the same.…”
Section: Introduction and Model Formulationmentioning
confidence: 99%