Optimization of the Two Fishermen’s Profits Exploiting Three Competing Species Where Prices Depend on Harvest
Autor: | Meriem Bentounsi, Youssef El Foutayeni, Naceur Achtaich, Imane Agmour |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0106 biological sciences
Equilibrium point Article Subject Applied Mathematics lcsh:Mathematics 05 social sciences Fishing lcsh:QA1-939 010603 evolutionary biology 01 natural sciences Linear complementarity problem Profit (economics) symbols.namesake Eigenvalue analysis Nash equilibrium Sustainable management 0502 economics and business symbols Quantitative Biology::Populations and Evolution 050202 agricultural economics & policy Mathematical economics Analysis Mathematics |
Zdroj: | International Journal of Differential Equations, Vol 2017 (2017) Int. J. Differ. Equ. |
ISSN: | 1687-9651 1687-9643 |
Popis: | Bioeconomic modeling of the exploitation of biological resources such as fisheries has gained importance in recent years. In this work we propose to define and study a bioeconomic equilibrium model for two fishermen who catch three species taking into consideration the fact that the prices of fish populations vary according to the quantity harvested; these species compete with each other for space or food; the natural growth of each species is modeled using a logistic law. The main purpose of this work is to define the fishing effort that maximizes the profit of each fisherman, but all of them have to respect two constraints: the first one is the sustainable management of the resources and the second one is the preservation of the biodiversity. The existence of the steady states and their stability are studied using eigenvalue analysis. The problem of determining the equilibrium point that maximizes the profit of each fisherman leads to Nash equilibrium problem; to solve this problem we transform it into a linear complementarity problem (LCP); then we prove that the obtained problem (LCP) admits a unique solution that represents the Nash equilibrium point of our problem. We close our paper with some numerical simulations. |
Databáze: | OpenAIRE |
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