Fast-slow dynamics in first-order initial value problems with slowly varying parameters and application to a harvested Logistic model

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Abstract

In this paper, by using fast-slow decomposition and matching in singular perturbation theory, we separate the fast-slow dynamics in first-order initial value problems with slowly varying parameters and construct the asymptotic approximations to the solutions. Also we prove that the asymptotic solutions are uniformly valid on O(1) large time interval with Oaccuracy by using the method of upper and lower solutions. As an application of the general theory, we consider a Logistic model with slowly varying parameters and linear density dependent harvest, in which, we illustrate the theoretical results through several numerical examples. © 2014 Elsevier B.V.

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Shen, J., & Zhou, Z. (2014). Fast-slow dynamics in first-order initial value problems with slowly varying parameters and application to a harvested Logistic model. Communications in Nonlinear Science and Numerical Simulation, 19(8), 2624–2631. https://doi.org/10.1016/j.cnsns.2013.12.035

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