2008
DOI: 10.1016/j.mcm.2007.02.023
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Permanence for the discrete mutualism model with time delays

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Cited by 54 publications
(18 citation statements)
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“…For example, Chen and Shi [27] investigated the following nonlinear model: 6) where i = 1, 2, ..., n, j = 1, 2, ..., m, x i (t) denotes the density of prey species X i at time t, y j (t)…”
Section: 2)mentioning
confidence: 99%
“…For example, Chen and Shi [27] investigated the following nonlinear model: 6) where i = 1, 2, ..., n, j = 1, 2, ..., m, x i (t) denotes the density of prey species X i at time t, y j (t)…”
Section: 2)mentioning
confidence: 99%
“…From Lemma 2.2 in [5], we can get the following lemma directly: Proof. By (H 1 ) and the first two equations of (1.3), we see that x i (k) > 0, i = 1, 2.…”
Section: Lemma 24 ([5]mentioning
confidence: 99%
“…Discrete time models can also provide efficient computational models of continuous models for numerical simulations. Indeed, much progress in the discrete time models have been made by many scholars, see, for examples, [3][4][5]7,[9][10][11] and references cited therein. Recently, Wu and Li [4] studied the dynamic of the discrete predator-prey system with Hassell-Varley type functional response as follows:…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the limit sequence is also an almost periodic sequence. Lemma () Assume that { x ( n )} satisfies x ( n ) > 0 and x(nMathClass-bin+1)MathClass-rel≤x(n)normalexp{a(n)MathClass-bin−b(n)x(n)} for n ∈ N , where a ( n ) and b ( n ) are non‐negative sequences bounded above and below by positive constants. Then, msubnormallimsupnMathClass-rel→MathClass-bin+MathClass-rel∞x(n)MathClass-rel≤1blnormalexp(auMathClass-bin−1)MathClass-punc. Lemma () Assume that { x ( n )} satisfies x(nMathClass-bin+1)MathClass-rel≥x(n)normalexp{a(n)MathClass-bin−b(n)x(n)}MathClass-punc,1emnbsp1emnbsp1emnbspnMathClass-rel≥N0MathClass-punc, msubnormallimsupnMathClass-rel→MathClass-bin+MathClass-rel∞x(n)MathClass-rel≤xMathClass-bin* and x ( N 0 ) > 0, where a ( n ) and b ( n ) are non‐negative sequences bounded above and below by positive constants and N 0 ∈ N . Then, …”
Section: Preliminariesmentioning
confidence: 99%