Extinction, persistence and global stability in models of population growth (original) (raw)

2005, Journal of Mathematical Analysis and Applications

First, we systematize earlier results on the global stability of discrete model A n+1 = λA n + F (A n−m ) of population growth. Second, we invent the effect of delay m when F is unimodal. New, deep and strong results are discussed in Section 4, although Theorems 3-5 (Section 3) are still freshly new. This paper may be considered as a discrete version of our earlier work on the model x(t) = −µx(t) + f (x(t − τ )) [D.V. Giang, Y. Lenbury, Nonlinear delay differential equations involving population growth, Math. Comput. Modelling 40 (2004) 583-590]. We are mainly using ω-limit set of persistent solution, which is discussed in more general by P. Walters [An Introduction to Ergodic Theory, Springer-Verlag, Berlin, 1982].

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Nontrivial periodicity in discrete delay models of population growth

Journal of Mathematical Analysis and Applications, 2005

In this paper, we will study the periodicity in discrete model A n+1 = λA n + F (A n−m ) of population growth, where the delay m is large enough and the nonlinearity F is unimodal function. Actually, we prove that there is a slowly oscillated periodic solution. Our method is Browder nonextremal fixed point theorem.

Delay effect in models of population growth

Journal of Mathematical Analysis and Applications, 2005

First, we systematize earlier results on the global stability of the modelẋ + µx = f (x(· − τ )) of population growth. Second, we investigate the effect of delay on the asymptotic behavior when the nonlinearity f is a unimodal function. Our results can be applied to several population mod-

Global Stability Analysis of Some Nonlinear Delay Differential Equations in Population Dynamics

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We consider a sex-child-structured nondispersing population dynamics model taking into account child care. The model consists of six retarded differential equations. By using numerical analysis the asymptotic stability of exponentially growing (or vanishing) solutions to the model is discussed.

Harmless Delays for Permanence in a Class of Population Models with Diffusion Effects

Journal of Mathematical Analysis and Applications, 1997

This paper studies a class of time-delay reaction᎐diffusion systems modeling the dynamics of single or interacting populations. In the logistic equation, we prove that when the magnitude of the instantaneous term is larger than that of the delay terms, the population growth u has the same asymptotic limit as in the case of no delay. For the predator᎐prey model, a condition on the interaction rates is given to ensure the permanence effect in the ecosystem regardless of the length of delay intervals. A permanence condition is also obtained in the N-species competition system with time delays. It is shown that when the natural growth rate Ž. a , a,. .. , a is in an unbounded parameter set ⌳, the reaction᎐diffusion system 1 2 N has a positive global attractor. Finally, long-term behavior of the solutions for those time-delay systems is numerically demonstrated through finite-difference approximations and compared with the corresponding systems without delays.

The stability, persistence and extinction in a stochastic model of the population growth

2020

In this paper we consider the global qualitative properties of a stochastically perturbed logistic model of population growth. In this model, the stochastic perturbations are assumed to be of the white noise type and are proportional to the current population size. Using the direct Lyapunov method, we established the global properties of this stochastic differential equation. In particular, we found that solutions of the equation oscillate around an interval, and explicitly found the end points of this interval. Moreover, we found that, if the magnitude of the noise exceeds a certain critical level (which is also explicitly found), then the stochastic stabilisation ("stabilisation by noise") of the zero solution occurs. In this case, (i) the origin is the lower boundary of the interval, and (ii) the extinction of the population due to stochasticity occurs almost sure (a.s.) for a finite time.

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