Predator Extinction arose from Chaos of the Prey: the Chaotic Behavior of a Homomorphic Two-Dimensional Logistic Map in the Form of Lotka-Volterra Equations
Wei Shan Lee, Hou Fai Chan, Ka Ian Im, Kuan Ieong Chan, and U Hin, Cheang

TL;DR
This paper introduces a two-dimensional logistic map model based on Lotka-Volterra equations to analyze chaos in predator-prey systems, revealing conditions leading to predator extinction and potential applications in pest control and superconductivity.
Contribution
The study develops a novel homomorphic 2D logistic map that captures complex chaotic behaviors and bifurcations, extending classical models and suggesting new ecological and physical applications.
Findings
Chaotic predator extinction can occur under certain initial conditions.
The model recovers classical 1D logistic map behavior with flip bifurcation.
Chaotic states may be used to control pests or viruses, or induce superconductivity.
Abstract
A two-dimensional homomorphic logistic map that preserves features of the Lotka-Volterra equations was proposed. To examine chaos, iteration plots of the population, Lyapunov exponents calculated from Jacobian eigenvalues of the D logistic mapping, and from time series algorithms of Rosenstein and Eckmann et al. were calculated. Bifurcation diagrams may be divided into four categories depending on topological shapes. Our model not only recovered the D logistic map, which exhibits flip bifurcation, for the prey when there is a nonzero initial predator population, but it can also simulate normal competition between two species with equal initial populations. Despite the possibility for two species to go into chaos simultaneously, where the Neimark-Sacker bifurcation was observed, it is also possible that with the same interspecies parameters as normal but with a predator population…
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Taxonomy
TopicsComplex Systems and Time Series Analysis
