11.2.2 Logistic Growth Flashcards
Logistic Growth
- Distinguish between exponential growth models for short-term population growth and logistic growth models for long-term population growth that take into account the carrying capacity of the environment.
- Analyze solutions to logistic growth differential equations using direction fields.
- Solve logistic growth equations numerically using Euler’s Method.
- Use the separable nature of logistic growth differential equations to solve them analytically.
note
- A simple population model could assume exponential growth. This is a reasonable assumption if the population is small, because there are no constraints restricting
its growth. - But in the long run, exponential population growth cannot be sustained due to naturally occurring constraints on resources.
- The logistic growth model takes this into account. When the population is small, the population growth rate is nearly exponential.
- When the population nears its carrying capacity, or the
maximum population that the environment can sustain in the long run, the growth rate approaches zero. - The solutions all approach the carrying capacity of 1200.
- When the population is below 1200, the population increases to the carrying capacity. When the population is above 1200, the population decreases to the carrying capacity.
- When the population is 600, the population is increasing the most rapidly. That is, the slopes are the steepest.
- Recall that Euler’s Method is a numerical method for solving differential equations by approximating the solution by a piecewise linear function.
- Given an initial condition, y 0 = y(x 0 ), the next point is given by x 1 = x 0 + h and y 1 = y 0 + hF(x 0 , y 0 ), where h is the step size. This process then repeats with (x 1 , y 1 ), the new starting point.
- With a step size of 25, the population after 50 time units is computed to be approximately 872. The population after 100 time units is computed to be approximately 1184.
- Notice that after 75 time units, the population exceeded its carrying capacity and, as would be expected by the logistic growth model, the population decreased at the next iteration.
note 2
- The logistic differential equation can also be solved
analytically by relying on the fact that it is separable. A
differential equation is separable if it can be written in the form N(y)dy = M(x)dx. The solution can be obtained by integrating both sides of the equation. - The analytical solution to the logistic differential equation reveals that the population approaches its carrying capacity in the long run.
- The exact solution can be used to find the actual populations (based on the model) after 50 time units and after 100 time units.
- Substitute 50 for t in the solution to obtain a population of 961 after 50 time units.
- Substitute 100 for t in the solution to obtain a population of 1,185 after 100 time units.
- Notice that the solutions obtained with Euler’s method are reasonable approximations. In fact, at t = 100, the
approximate solution and the exact solutions only differ by one. - To find when the population reaches 1,100, substitute 1,100 for P in the exact solution. Then solve for t.
- To solve for t after isolating the exponential expression that contains t, it is necessary to take the natural log of both sides of the equation.
- Solving for t reveals that 67 time units must pass before the population reaches 1,100.
Which of the following could be the logistic growth differential equation associated with the given direction field?
dP/dt=0.8P(1−P/400)
Which of the following could be the logistic growth initial value problem associated with the given curve for the given direction field?
dP/dt=0.8P(1−P/400), P(0)=600
Which of the following is the exact population P(10) rounded to the nearest unit, obtained from the given initial value problem?dP/dt=0.5P(1−P/500), P(0)=100
P(10)≈487
Which of the following could be the logistic growth differential equation associated with the given direction field?
dP/dt=0.5P(1−P/500)
Which of the following is an estimate of the population P(10) using Euler’s method with a step size of 5, where P is the solution of the given initial value problem?dP/dt=0.5P(1−P/500), P(0)=100
P(10)≈600
Use the exact solution to the given initial value problem to determine at which of the following times the population will reach 400.dP/dt=0.5P(1−P500), P(0)=100
t=5.55
Which of the following is the exact population P(4) rounded to the nearest unit, obtained from the given initial value problem?dP/dt=0.8P(1−P400), P(0)=600
P(4)≈406
Which of the following could be the logistic growth initial value problem associated with the given curve for the given direction field?
dP/dt=0.5P(1−P/500), P(0)=100
Which of the following is an estimate of the population P(4) using Euler’s method with a step size of 2, where P is the solution of the given initial value problem?dP/dt=0.8P(1−P400), P(0)=600
P(4)≈254
Use the exact solution to the given initial value problem to determine at which of the following times the population will reach 500.dP/dt=0.8P(1−P400), P(0)=600
t=0.64