If t is in years since 1990, one model for the population of the world, P, in billions, is P = 40 1 + 11e0.08t . (a) What does this model predict for the maximum sustainable population of the world? (b) Graph P against t. (c) According to this model, when will the earths population reach 20 billion? 39.9 billion?
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Textbook Solutions for Applied Calculus
Question
In the spring of 2003, SARS (Severe Acute Respiratory Syndrome) spread rapidly in several Asian countries and Canada. Table 4.9 gives the total number, P, of SARS cases reported in Hong Kong17 by day t, where t = 0 is March 17, 2003. (a) Find the average rate of change of P for each interval in Table 4.9. (b) In early April 2003, there was fear that the disease would spread at an ever-increasing rate for a long time. What is the earliest date by which epidemiologists had evidence to indicate that the rate of new cases had begun to slow? (c) Explain why an exponential model for P is not appropriate. (d) It turns out that a logistic model fits the data well. Estimate the value of t at the inflection point. What limiting value of P does this point predict? (e) The best-fitting logistic function for this data turns out to be P = 1760 1 + 17.53e0.1408t . What limiting value of P does this function predict? Table 4.9 Total number of SARS cases in Hong Kong by day t (where t = 0 is March 17, 2003) t P t P t P t P 0 95 26 1108 54 1674 75 1739 5 222 33 1358 61 1710 81 1750 12 470 40 1527 68 1724 87 1755 19 800 47 1621
Solution
The first step in solving 4.7 problem number 8 trying to solve the problem we have to refer to the textbook question: In the spring of 2003, SARS (Severe Acute Respiratory Syndrome) spread rapidly in several Asian countries and Canada. Table 4.9 gives the total number, P, of SARS cases reported in Hong Kong17 by day t, where t = 0 is March 17, 2003. (a) Find the average rate of change of P for each interval in Table 4.9. (b) In early April 2003, there was fear that the disease would spread at an ever-increasing rate for a long time. What is the earliest date by which epidemiologists had evidence to indicate that the rate of new cases had begun to slow? (c) Explain why an exponential model for P is not appropriate. (d) It turns out that a logistic model fits the data well. Estimate the value of t at the inflection point. What limiting value of P does this point predict? (e) The best-fitting logistic function for this data turns out to be P = 1760 1 + 17.53e0.1408t . What limiting value of P does this function predict? Table 4.9 Total number of SARS cases in Hong Kong by day t (where t = 0 is March 17, 2003) t P t P t P t P 0 95 26 1108 54 1674 75 1739 5 222 33 1358 61 1710 81 1750 12 470 40 1527 68 1724 87 1755 19 800 47 1621
From the textbook chapter LOGISTIC GROWTH you will find a few key concepts needed to solve this.
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