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Population growth and the logistic equation

Why exponential growth fails over the long run, the carrying-capacity factor that corrects it, and fitting the resulting S-shaped curve to real data.

Active Calculus, Population growth and the logistic equation

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4 exercises

Activity 7.6.2

Using some recent population data for planet Earth, we want to model the growth of the population over time.

Our first model will be based on the following assumption:

The rate of change of the population is proportional to the population.

On the face of it, this seems pretty reasonable. When there is a relatively small number of people, there will be fewer births and deaths so the rate of change wi…

2.5

Exercise 5

The logistic equation may be used to model how a rumor spreads through a group of people. Suppose that p(t)p(t) is the fraction of people that have heard the rumor on day tt. The equation describes how pp changes. Suppose initially that one-tenth of the people have heard the rumor; that is, p(0)=0.1p(0) = 0.1.

  1. What happens to p(t)p(t) after a very long time?

  2. Determine a formula for the function p(t)p(t).

  3. At what time is pp changing most ra…

2.5

Exercise 6

Suppose that b(t)b(t) measures the number of bacteria living in a colony in a Petri dish, where bb is measured in thousands and tt is measured in days. One day, you measure that there are 6,000 bacteria and the per capita growth rate is 3. A few days later, you measure that there are 9,000 bacteria and the per capita growth rate is 2.

  1. Assume that the per capita growth rate db/dtb\frac{db/dt}{b} is a linear function of bb. Use t…

2.5

Exercise 7

Suppose that the population of a species of fish is controlled by the logistic equation , where PP is measured in thousands of fish and tt is measured in years.

  1. What is the carrying capacity of this population?

  2. Suppose that a long time has passed and that the fish population is stable at the carrying capacity. At this time, humans begin harvesting 20% of the fish every year. Modify the differential eq…

2.5

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