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Bachelor thesis . 2018
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Estudio y comparación de diversos modelos de depredador-presa

Authors: Gálvez García, Miriam;

Estudio y comparación de diversos modelos de depredador-presa

Abstract

In this work we study different population models of ordinary differential equations of one and two species, respectively. In particular, we study in detail the prey-predator Lotka-Volterra model. We compare the behavior of the species in the Lotka-Volterra model and in different variants of that system. An outline of this work is as follows: in Chapter 2 we describe the different population models and show its corresponding behavior. In Chapter 3, we study theoretically the original model of Lotka-Volterra, where its stationary points, trajectories and the local stability of such model are analyzed. In Chapter 4, we study the Lotka-Volterra logistic model. We analyze the existence and uniqueness of solutions for system, stationary points and their local and global stability. Finally, in Chapter 5 we make numerical simulations related to the previous chapters and show the difference between the classic Lotka-Volterra model and some of its variants.

Universidad de Sevilla. Grado en Matemáticas

Country
Spain
Related Organizations
Keywords

Ecuaciones de Volterra, Modelo depredador-presa

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green