2017
DOI: 10.1155/2017/6186354
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Local Stability in 3D Discrete Dynamical Systems: Application to a Ricker Competition Model

Abstract: A survey on the conditions of local stability of fixed points of three-dimensional discrete dynamical systems or difference equations is provided. In particular, the techniques for studying the stability of nonhyperbolic fixed points via the centre manifold theorem are presented. A nonlinear model in population dynamics is studied, namely, the Ricker competition model of three species. In addition, a conjecture about the global stability of the nontrivial fixed points of the Ricker competition model is present… Show more

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Cited by 15 publications
(8 citation statements)
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“…The demonstrated stability analysis can be applied to other forms of two-species continuous-time and discrete-time population models in returning more complex dynamical systems, such as controlling species, functional responses, time delay [27,28] and the Allee effect. Our work can be extended to study the dynamics of three or more species systems [29] and to understand the stabilising and destabilising factors before obtaining the model outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…The demonstrated stability analysis can be applied to other forms of two-species continuous-time and discrete-time population models in returning more complex dynamical systems, such as controlling species, functional responses, time delay [27,28] and the Allee effect. Our work can be extended to study the dynamics of three or more species systems [29] and to understand the stabilising and destabilising factors before obtaining the model outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…The critical point y 0 is called a stable critical point if for every ò > 0 ∃a δ such that if ψ(t) is any solution of ( )  f = y y satisfying ∥ψ(t 0 ) − y 0 ∥ < δ, then the solution ψ(t) exists ∀t t 0 and it satisfies ∥ψ(t) − y 0 ∥ < ò∀t t 0 . The critical point y 0 is called asymptotically stable if ∃a δ such that if ψ(t) is any solution of  y=f(y) satisfying ∥ψ(t 0 ) − y 0 ∥ < δ then ( ) y ¥ t lim t =y 0 [61]. The difference between the stable and asymptotically stable critical point is that near an asymptotically critical point all trajectories reach at that point, but near a stable critical point all trajectories make a circle near at that point [62].…”
Section: Observational Fit Of the Model Parameters By Using Hubble Da...mentioning
confidence: 99%
“…Notice that, these 20 parameters are assumed to be positive. For a complete study in local dynamics of this model in dimensions 1, 2 and 3 we refer the papers [10,11].…”
Section: Ricker Competition Model Of 4 Speciesmentioning
confidence: 99%