1. The logistic equation is a classical model of population growth and is given by dx(1) = x(1) (1 – x6)). dt In the logistic equation, the model parameter K > 0 represents the carrying capacity of the population x(t). First, plot ƒ(x) = x(1) (1-x(7)) K as a function of x to find the equilibrium solutions of the logistic equation. Next, determine which of the equilibrium solutions are attracting. Finally, consider a population y(t) that satisfies the logistic equation with an additional death rate d. The population y satisfies dy(t) = y(1) (1 – ³()) – dy(t). K Find the equilibrium of this new model and determine the maximal value of d that allows for long-term population persistence (i.e. no extinction).
1. The logistic equation is a classical model of population growth and is given by dx(1) = x(1) (1 – x6)). dt In the logistic equation, the model parameter K > 0 represents the carrying capacity of the population x(t). First, plot ƒ(x) = x(1) (1-x(7)) K as a function of x to find the equilibrium solutions of the logistic equation. Next, determine which of the equilibrium solutions are attracting. Finally, consider a population y(t) that satisfies the logistic equation with an additional death rate d. The population y satisfies dy(t) = y(1) (1 – ³()) – dy(t). K Find the equilibrium of this new model and determine the maximal value of d that allows for long-term population persistence (i.e. no extinction).
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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