2008
DOI: 10.1016/j.nonrwa.2007.02.012
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Periodic solutions for predator–prey systems with Beddington–DeAngelis functional response on time scales

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Cited by 35 publications
(22 citation statements)
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“…Note that J = I ( the identical mapping), since ImQ = KerL, according to the invariance property of homotopy, direct calculation produces Remark 3.1. If we only consider the prey population in one-patch environment and ignore the dispersal process in the system (1.4), and if τ 11 ≡ τ 21 ≡ 0 in (1.4), then the system (1.4) reduces to the standard two species predator-prey model with Beddington-DeAngelis functional response on time scales investigated in [3] and [9]. Theorem 3.1 generalizes the main results of them.…”
mentioning
confidence: 59%
“…Note that J = I ( the identical mapping), since ImQ = KerL, according to the invariance property of homotopy, direct calculation produces Remark 3.1. If we only consider the prey population in one-patch environment and ignore the dispersal process in the system (1.4), and if τ 11 ≡ τ 21 ≡ 0 in (1.4), then the system (1.4) reduces to the standard two species predator-prey model with Beddington-DeAngelis functional response on time scales investigated in [3] and [9]. Theorem 3.1 generalizes the main results of them.…”
mentioning
confidence: 59%
“…For example, it can model insect populations that are continuous while in season (and may follow a di erence scheme with variable step-size), die out in winter, while their eggs are incubating or dormant, and then hatch in a new season, giving rise to a nonoverlapping population. The study of population dynamic systems on time scales can reveal new qualitative phenomenon, see, for example, [2][3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…To unify the study of differential and difference equations, the theory of Time Scales Calculus is initiated by Stephan Hilger. In [20] [21], unification of the existence of periodic solutions of population models modelled by ordinary differential equations and their discrete analogues in form of difference equations, and extension of these results to more general time scales are studied.…”
Section: Introductionmentioning
confidence: 99%