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3.5 Exponential and Logarithmic Models

3.5 Exponential and Logarithmic Models. -Students will use exponential growth and decay functions to model and solve real-life problems. -Use Gaussian functions to model and solve real-life problems. -Use logistic growth functions to model and solve real-life problems.

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3.5 Exponential and Logarithmic Models

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  1. 3.5 Exponential and Logarithmic Models -Students will use exponential growth and decay functions to model and solve real-life problems. -Use Gaussian functions to model and solve real-life problems. -Use logistic growth functions to model and solve real-life problems. -Students will use logarithmic functions to model and solve real-life problems.

  2. Properties of Logarithms 1. If then 2. 3. 4. 5. 6.

  3. Example 1 An exponential growth model that approximates the world population (in millions) from 1995 to 2004 is where P is the population in millions and t=5 represents 1995. When will the population reach 6.8 billion?

  4. Example 2 In a research experiment, a population of fruit flies is increasing according to the law of exponential growth. After 2 days there are 100 flies and after 4 days there are 300 flies. How many flies will there be after 5 days? Let y be the number of flies at t time in days. Use the model for exponential growth.

  5. Example 3 In living organic material, the ratio of content of radioactive carbon isotopes (carbon 14) to the content of nonradioactive carbon isotopes (carbon 12) is about 1 to . When organic material dies, its carbon 12 content remains fixed, whereas its radioactive carbon 14 begins to decay with a half-life 5730 years. To estimate the age of dead organic material, scientists use the following formula, which denotes the ratio of carbon 14 to carbon 12 present at any time t (in years). The ratio of carbon 14 to carbon 12 in a newly discovered fossil is Estimate the age of the fossil.

  6. Example 5 (Logistic Growth) On a college campus of 5000 students, one student returns from vacation with a contagious flu virus. The spread of the virus is modeled by where y is the total number infected after t days. The college will cancel classes when 40% or more of the students are infected. (a) How many students are infected after 5 days? (b) After how many days will the college cancel classes?

  7. Example 6In 2001, the coast of Peru experienced an earthquake that measured 8.4 on the Richter scale. In 2003, Colima, Mexico experienced an earthquake that measured 7.6 on the Richter scale. Find the intensity of each earthquake and compare the two intensities (how many times greater?).On the Richter scale, the magnitude R of an earthquake of Intensity I is given by Where is the minimum intensity used for comparison. Intensity is a measure of the wave energy of an earthquake.

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