2015
DOI: 10.1142/s0218339015400112
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Population Growth Modeling With Boom and Bust Patterns: The Impulsive Differential Equation Formalism

Abstract: This note gives an overview on basic mathematical models describing the population dynamics of a single species whose vital dynamics has different time scales. We present five cases combining two time–scales with Malthusian growth in at least one scale. The dynamical behavior shows a progressive complexity, from "naive" to chaotic dynamics (in the Li–Yorke's sense). In addition, some open problems and new results are presented.

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Cited by 7 publications
(3 citation statements)
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“…Our goal was to study the trade-off dynamics between the removal of waste containers and the cleaning of illegal micro-dumps. This dynamics was represented using a mathematical model described by an impulsive differential system at both fixed and variable times (Cordova-Lepe et al, 2015). The findings establish two scenarios in the long term, the containers are full or not, and whose differentiation depends on a threshold that is a function of all model parameters.…”
Section: Discussionmentioning
confidence: 90%
“…Our goal was to study the trade-off dynamics between the removal of waste containers and the cleaning of illegal micro-dumps. This dynamics was represented using a mathematical model described by an impulsive differential system at both fixed and variable times (Cordova-Lepe et al, 2015). The findings establish two scenarios in the long term, the containers are full or not, and whose differentiation depends on a threshold that is a function of all model parameters.…”
Section: Discussionmentioning
confidence: 90%
“…To show the effects of allergen immunotherapy and its results when the patient is exposed to high concentrations of pollen in the environment, the dynamics are described on two time scales, continuous and discrete, typical of the formalism of impulsive differential equations. [18,19]. The first describes the response of the immune system in the absence of the allergen either by therapy or by exposure t = {t k , t m } phenomenon described by cell interaction, where the naive lymphocytes or T h 0 change their concentration due to their differentiation processes, both for T reg lymphocytes and T h 2 lymphocytes, with rates α 2 , α 3 respectively.…”
Section: Mathematical Modelingmentioning
confidence: 99%
“…To address our objective, we use semi-discrete models, due to the division of the annual cycle into two seasons (namely, reproductive and non-reproductive) acting on two different time scales (namely, continuous and discrete). These models have a common mathematical formalism in terms of impulsive differential equations 33,34 , which are widely used to address topics of interest in epidemiology and population ecology [35][36][37][38][39] . Our consumer-resource model has a "bottom-up" mechanistic formulation [40][41][42] to obtain a better understanding of the dynamic behaviors of the populations by incorporating the individual allocation of energetic resources towards reproduction.…”
mentioning
confidence: 99%