Scientists often use the logistic growth functionto model population growth, where P₀ is the initial population at time t = 0, K is the carrying capacity, and r₀ is the base growth rate. The carrying capacity is a theoretical upper bound on the total population that the surrounding environment can support. The figure shows the sigmoid (S-shaped) curve associated with a typical logistic model.

The relative growth rate r of a function f measures the rate of change of the function compared to its value at a particular point. It is computed as r(t) = f'(t)/f(t).

a. Confirm that the relative growth rate in 1999 (t = 0) for the logistic model in Exercise 94 is r(0) = P'(0)/P(0) = 0.015. This means the world’s population was growing at 1.5% per year in 1999.

b. Compute the relative growth rate of the world’s population in 2010 and 2020. What appears to be happening to the relative growth rate as time increases?

c. Evaluatewhere P(t) is the logistic growth function from Exercise 94. What does your answer say about populations that follow a logistic growth pattern?

Transcribed Image Text:

PoK P(t) Po + (K – Po)e¯ro* y, y = K y = P(t)