Consider the problem of predicting the population of two species, one of which is a predator, whose population at time t is x₂ (t), feeding on the other, which is the prey, whose population is x₁ (t). The two species competing for the same food supply. It is often assumed that, although the birthrate of each of species is simply proportional to the number of species alive at that time, the death rate of each species depends on the population of both species. We will assume that the population of a particular pair of species is described by the equations. dx₁ (t) dt dx₂ (t) dt = x₁(t) [4 - 0.0003x₁ (t) - 0.0004x₂(t)] = x₂(t) [2 -0.0002x₁ (t) - 0.0001x₂ (t)]. If it is known that the initial population of each species is 10,000. (a) Use Runge-Kutta Midpoint method (by hand) to approximate the solutions at t = 0.4 with h = 0.2. (b) Is there a stable solution to this population model? If so, for what values of x₁ and x₂ is the solution stable?
Consider the problem of predicting the population of two species, one of which is a predator, whose population at time t is x₂ (t), feeding on the other, which is the prey, whose population is x₁ (t). The two species competing for the same food supply. It is often assumed that, although the birthrate of each of species is simply proportional to the number of species alive at that time, the death rate of each species depends on the population of both species. We will assume that the population of a particular pair of species is described by the equations. dx₁ (t) dt dx₂ (t) dt = x₁(t) [4 - 0.0003x₁ (t) - 0.0004x₂(t)] = x₂(t) [2 -0.0002x₁ (t) - 0.0001x₂ (t)]. If it is known that the initial population of each species is 10,000. (a) Use Runge-Kutta Midpoint method (by hand) to approximate the solutions at t = 0.4 with h = 0.2. (b) Is there a stable solution to this population model? If so, for what values of x₁ and x₂ is the solution stable?
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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As per the question we are given a predictor-prey population model with initial conditions :
x1(0) = x2(0) = 10000
Now we have to find :
- The population at time t = 0.4 using Runge-Kutta Midpoint Rule with step size h = 0.2
- The stable solution to the dynamic system
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