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Chapter 5: Exponential and Logarithmic Functions

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Title: Chapter 5: Exponential and Logarithmic Functions


1
Chapter 5 Exponential and Logarithmic Functions
  • Section 5.3 Exponential Functions and Models

2
Introduction to Exponential Functions
  • Imagine the following scenario A local
    millionaire offers you a choice between receiving
    5 million today or .01 today, .02 tomorrow,
    .04 the next day, and so on for 30 days. Which
    will you choose?
  • The mathematically inclined will always choose
    the latter scenario. At the end of 30 days, you
    will have accrued a total of 10,737,418.23 more
    than twice the original offer.
  • The above scenario is simply one example of the
    use of a so-called exponential function. A
    definition is as follows
  • Exponential FunctionA function f represented by
    f(x) Cax, a gt 0, a not equal to 1, and C gt
    0,is an exponential function with base a.
  • The obvious primary difference between this type
    of function and the kind weve been studying
    until now is that the independent variable now
    appears in the exponent. Note that if a 1, we
    simply have the constant function f(x) C. Note
    also that when x 0, we have f(0) C. Thus, in
    applications, C often represents the initial
    value of our function (e.g., when x represents
    time).

3
Examples and Characteristics
  • Some examples of exponential functions f(x) 3x
    , g(x) 4(0.5)x, h(x) 2x2.
  • The primary characteristic of an exponential
    function is its extremely rapid rate of growth as
    the independent variable x increases. In other
    words, exponential functions generally have very
    high average rates of change, even on small
    intervals. This fact is all the more obvious when
    viewing the graph of an exponential function.
  • Example 1 Let f(x) 2x. Find the y-intercept
    of f (that is, f(0) ). What is f(5)? f(10)?
  • Solution The y-intercept of f can be found by
    evaluating f when x 0 f(0) 20 1. On the
    other hand, f(5) 25 32, while by the time x
    reaches 10, we have f(10) 210 1024. Clearly,
    f grows very quickly.
  • One of the prime examples of exponential growth
    is in applications involving population (e.g.,
    animal, bacterial, human) growth. For the moment,
    we examine a simpler example.

4
A Simple Application
  • Example 2 (text, p. 373, Example 2). A college
    graduate signs a contract for an annual salary of
    50,000 and can choose either Option A a fixed
    annual raise of 6000 each year, or Option B a
    10 raise each year. However, the graduate must
    stay with the same option. Which is the better
    option?
  • Solution We can determine the better option by
    comparing salaries at various points along the
    career line. Let x represent the number of years
    worked and use only the integer values of x.
    Thus, during the first year of work, x 0 and
    the salary is 50,000. Our graph will contain the
    point (0,50000), and since the increase in
    salary per year is constant, we have a constant
    rate of change. That is, we have a linear
    function with slope m 6000 and passing through
    the point (0, 50000). The salary under option A,
    then, can be determined in year x by the function
    f(x) 6000x 50,000. Under option B, we
    determine that the salary can be given by g(x)
    50000(1.10)x, where x again represents the
    number of full years worked. By comparing
    salaries as in Table 5.14, it is clear that
    option B quickly becomes the more lucrative
    choice, a fact that is all the more clear when
    these functions are graphed together.

5
Exponential Models
  • Exponential functions are used to model an
    enormous number of phenomena, both in nature and
    in society. Examples of such phenomena are, as
    mentioned, population growth, radioactive decay,
    thermal diffusion, compounding interest. The
    list goes on and on. Here, we will consider
    several applications of compounding interest, and
    the student will be left to work on various other
    applications.
  • Example 3 The parents of a college student
    place 10,000.00 in a 5-year CD earning 7
    interest, compounded monthly, to be offered upon
    graduation as a gift. To the nearest dollar, what
    amount will the student receive at the end of
    these five years?
  • Solution Using the formula for compound
    interest (text, p. 379), we find that the
    student will receive, to the nearest dollar,
    14,176.00 at the end of the five-year period.
  • Problem If the cost of college tuition is
    currently 5000 per year, inflating at 6 per
    year, how much will a current freshman save in
    tuition costs, to the nearest dollar, by
    finishing her degree in four years rather than in
    five?

6
More Compound Interest
  • Often, financial institutions attempt to attract
    clients with more frequent compounding rather
    than higher interest rates. In general, more
    frequent compounding at a similar rate will yield
    higher balances, though perhaps not as much as
    one might expect. Suppose, for example, that your
    bank offers daily compounding at 6, while one of
    its competitors offers hourly compounding at 5.
    Which is better? On the other hand, what if an
    institution were to offer compounding by the
    minute, or by the second? What if we just never
    stop compounding? This is done, and it is called
    continuous compounding. A formula for
    continuously compounded interest can be found on
    page 381 of the text.
  • Problem The parents of a college student place
    10,000.00 in a 5-year CD earning 7 interest,
    compounded continuously, to be offered upon
    graduation as a gift. To the nearest dollar, what
    amount will the student receive at the end of
    these five years?

7
The Natural Exponential Function
  • The formula for continuously compounded interest
    given in the text is an example of a natural
    exponential functionthat is, an exponential
    function with base e. Natural exponential
    functions are found most often in applications to
    natural phenomena, and will be useful in later
    sections for solving exponential and logarithmic
    equations.
  • Homework for this section
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