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Investigación y Ciencia de la Universidad Autónoma de Aguascalientes
Article . 2024 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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Un modelo fraccionario para el análisis de setas comestibles: Análisis y simulación usando el esquema L1

Authors: Adán Jair Serna-Reyes; Jorge Eduardo Macias-Diaz; Pamela Romo-Rodríguez;

Un modelo fraccionario para el análisis de setas comestibles: Análisis y simulación usando el esquema L1

Abstract

En esta investigación se presenta un método numérico de un sistema de ecuaciones diferenciales derivadas de la función logística que modela el crecimiento de poblaciones, particularmente para el crecimiento del área y radio de una especie de hongo, el modelo es una corrección fraccionaria con derivadas temporales de Caputo. El sistema tiene puntos de equilibrio: un nodo atractor y uno repulsor. Con un teorema de punto fijo, se verifica la existencia de soluciones, también se prueba la estabilidad asintótica de las mismas. Numéricamente se utilizan diferencias finitas L1 para aproximar las derivadas fraccionarias, se verifica que el orden de convergencia del método es lineal (en concordancia con el orden de consistencia de las diferencias L1), este método es explícito y converge a la solución del modelo continuo. Finalmente se realizan simulaciones del crecimiento radial y del área con diferentes valores para la derivada fraccionaria que concuerdan con el análisis previo.

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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
gold