Title of article :
An alternative formulation for a delayed logistic equation
Author/Authors :
Arino، نويسنده , , Julien and Wang، نويسنده , , Lin and Wolkowicz، نويسنده , , Gail S.K. Wolkowicz ?، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
11
From page :
109
To page :
119
Abstract :
We derive an alternative expression for a delayed logistic equation, assuming that the rate of change of the population depends on three components: growth, death, and intraspecific competition, with the delay in the growth component. In our formulation, we incorporate the delay in the growth term in a manner consistent with the rate of instantaneous decline in the population given by the model. We provide a complete global analysis, showing that, unlike the dynamics of the classical logistic delay differential equation (DDE) model, no sustained oscillations are possible. Just as for the classical logistic ordinary differential equation (ODE) growth model, all solutions approach a globally asymptotically stable equilibrium. However, unlike both the logistic ODE and DDE growth models, the value of this equilibrium depends on all of the parameters, including the delay, and there is a threshold that determines whether the population survives or dies out. In particular, if the delay is too long, the population dies out. When the population survives, i.e., the attracting equilibrium has a positive value, we explore how this value depends on the parameters. When this value is positive, solutions of our DDE model seem to be well approximated by solutions of the logistic ODE growth model with this carrying capacity and an appropriate choice for the intrinsic growth rate that is independent of the initial conditions.
Keywords :
Delay differential equation , logistic growth , Monotone dynamics , Global stability , Extinction threshold , Delayed carrying capacity , Discrete time delay , Single species growth models
Journal title :
Journal of Theoretical Biology
Serial Year :
2006
Journal title :
Journal of Theoretical Biology
Record number :
1537747
Link To Document :
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