Exponential Functions with Base e: Properties, Applications, and Examples, Study notes of Computer science

The concept of exponential functions with base e, its significance in various applications such as compound interest and population growth, and provides examples of graphing and solving problems using this function. The document also covers the natural exponential function and its relationship with the exponential growth model.

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Exponential Functions with Base e
Any positive number can be used as the base for an exponential function, but some bases are
more useful than others. For instance, in computer science applications, the base 2 is convenient.
The most important base though is the number denoted by the letter e.
The number e is irrational, so we cannot write its exact value; the approximate value to 20
decimal places is
e โ‰ˆ 2.71828182845904523536
It may seem at first that a base such as 10 is easier to work with, but in certain applications, such
as compound interest or population growth, the number e is the best possible base.
The Natural Exponential Function:
The natural exponential function is the exponential function
()
x
f
xe=
with base e. It is often referred to as the exponential function.
Since 2 < e < 3, the graph of the natural exponential function lies between the graphs of y = 2x
and y = 3x, as shown below.
By: Crystal Hull
pf3
pf4
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Exponential Functions with Base e

Any positive number can be used as the base for an exponential function, but some bases are

more useful than others. For instance, in computer science applications, the base 2 is convenient.

The most important base though is the number denoted by the letter e.

The number e is irrational, so we cannot write its exact value; the approximate value to 20

decimal places is

e โ‰ˆ 2.

It may seem at first that a base such as 10 is easier to work with, but in certain applications, such

as compound interest or population growth, the number e is the best possible base.

The Natural Exponential Function:

The natural exponential function is the exponential function

x f x = e

with base e. It is often referred to as the exponential function.

Since 2 < e < 3, the graph of the natural exponential function lies between the graphs of y = 2

x

and y = 3

x , as shown below.

Example 1: Graph the function y = โ€“ e

x โ€“ , not by plotting points, but by starting from the

graph of y = e

x in the above figure. State the domain, range, and asymptote.

Solution:

Step 1: We will use transformation techniques to obtain the graph of

y = โ€“ e

x โ€“

. Start with the graph of y = e

x , reflect it in the x -axis and

shift it rightward 1 unit.

Step 2: Since our transformation does not involve a vertical shift of the graph,

the horizontal asymptote of y = โ€“ e

x โ€“ is the same as that of y = e

x ;

that is, the horizontal asymptote is the x -axis, y = 0.

Looking at the graph, we see that the domain of y = โ€“ e

x โ€“ is all real

numbers (-โˆž,โˆž), and the range is (-โˆž, 0).

Continuously compounded interest is calculated by the formula

rt A t = Pe

where A ( t ) = amount after t years

P = principal

r = interest rate

t = number of years

Example 3: The number of bacteria in a culture is given by the function

n(t) = 10 e

0.22t

(a) What is the relative rate of growth of this bacterium population? Express your

answer as a percentage.

(b) What is the initial population of the culture (at t = 0)?

(c) How many bacteria will be in the culture at time t = 15?

Solution (a):

Population is modeled using the exponential growth model:

n(t) = n 0 e

rt

where r is the relative rate of growth. By inspecting the equation we are given,

we see that r = 0.22, or 22%.

Solution (b):

To find the initial population, we find the population at time t = 0. We do this by

substituting t = 0 into the equation for n ( t ).

n(t) = 10 e

0.22t

n(0) = 10 e

0.22(0)

n(0) = 10(1)

n(0) = 10

Thus, the initial population is 10 bacteria.

Note: We could have solved this problem by inspecting the given equation and

noticing that n o

, the initial population size, is 10.

Solution (c):

The number of bacteria at time 15 can be found by substituting t = 15 into the

equation for n ( t ).

n(t) = 10 e

0.22t

n(15) = 10 e

0.22(15)

n(15) = 10 e

33

n(15) โ‰ˆ 10(27.1126)

n(15) โ‰ˆ 271.

Thus, the population at time 15 is 271 bacteria.

Example 4: The Ewok population on the planet Endor has a relative growth rate of 3% per

year, and it is estimated that the population is 6,500.

(a) Find a function that models the population t years from now.

(b) Use the function from part (a) to estimate the Ewok population in 8 years.

(c) Sketch the graph of the population function.

Solution (a):

Step 1: To find a function that models the Ewok population, we will use the

exponential growth model

n(t) = n 0 e

rt

To use the model, we will need to determine what the values n o

and r.

Step 2: Since we are not explicitly told when our time starts, we can assume the

population was estimated to be 6,500 at time t = 0. Thus our initial

population is n o

Step 3: We are told in the problem that the relative growth rate is 3% per year, so

r = 0.03.

Step 4: Now we will substitute the values n o

= 6500 and r = 0.03 into the

formula for the exponential growth model to find the function that

models the population t years from now.

n(t) = n 0 e

rt

n(t) = 6500 e

0.03t

Solution (b):

An estimate of the Ewok population in 8 years can be found by substituting t = 8

into the equation for n ( t ).

n(t) = 6500 e

0.03t

n(8) = 6500 e

0.03(8)

n(8) = 6500 e

n(8) โ‰ˆ 6500(1.2710)

n(8) โ‰ˆ 8263.

Thus, the population in 8 years will be 8263.