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1.5
Exponential Functions
DefinitionAn exponential function is a function of the form
P(t) = P0at
where a > 0 and a , 1.
We callP0 the initial value of the exponential function
a the base of the exponential function
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0 = P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0)
= P0a0 = P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0
= P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0 = P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0 = P0 · 1 = P0
It is called the “initial value”.
So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0 = P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)
I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0 = P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the function
I the “initial . . . ” in a word problem
1.5
The Initial Value
The number P0 in an exponential function P(t) = P0at plays animportant role:
P(0) = P0a0 = P0 · 1 = P0
It is called the “initial value”. So the “initial value” P0 of theexponential function is:I the function value at t = 0, i.e. P0 = P(0)I the vertical intercept of the graph of the functionI the “initial . . . ” in a word problem
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)
=P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)
=P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)
=P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = a
P(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)
=P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)
=P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)
=P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)=
P0at2
P0at1
=at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)=
P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Base
To see the role the base a plays in an exponential functionP(t) = P0at consider the quotients:
P(1)P(0)
=P0a1
P0= a
P(2)P(1)
=P0a2
P0a1 = a
P(3)P(2)
=P0a3
P0a2 = aP(4)P(3)
=P0a4
P0a3 = a
More generally,
P(t2)
P(t1)=
P0at2
P0at1=
at2
at1= at2−t1
So the base a is the “relative rate of change”.
1.5
The Graph of a Exponential Function
1.5
The Graph of a Family of Exponential Functions
1.5
Recognizing Data from an Exponential Function
Question: How can we know if a function, represented as atable, can be given by an exponential function?
Easy answer: For equally spaced t values, if the ratios ofconsecutive P values are constant, then P can be given by anexponential function.
General answer: For unequally spaced t values, one has tosolve for the base a using each pair of consecutive P values, andthe function can be given by an exponential function if the avalues found this way are constant.
1.5
Recognizing Data from an Exponential Function
Question: How can we know if a function, represented as atable, can be given by an exponential function?
Easy answer: For equally spaced t values, if the ratios ofconsecutive P values are constant, then P can be given by anexponential function.
General answer: For unequally spaced t values, one has tosolve for the base a using each pair of consecutive P values, andthe function can be given by an exponential function if the avalues found this way are constant.
1.5
Recognizing Data from an Exponential Function
Question: How can we know if a function, represented as atable, can be given by an exponential function?
Easy answer: For equally spaced t values, if the ratios ofconsecutive P values are constant, then P can be given by anexponential function.
General answer: For unequally spaced t values, one has tosolve for the base a using each pair of consecutive P values, andthe function can be given by an exponential function if the avalues found this way are constant.
1.5
ExampleCan the following table correspond to an exponential function?
t 0 1 2 3 4P 16 24 36 54 81
Solution: The t values happen to be equally spaced, so we onlyneed to compute the ratios of consecutive P values:
P(1)P(0)
=2416
=32
P(2)P(1)
=3624
=32
P(3)P(2)
=5436
=32
P(4)P(3)
=8154
=32
The ratios are constant. So P(t) can be given by a exponentialfunction. Indeed, we also know that P0 = P(0) = 16, so
P(t) = 16 · (3/2)t
1.5
ExampleCan the following table correspond to an exponential function?
t 0 1 2 3 4P 16 24 36 54 81
Solution: The t values happen to be equally spaced, so we onlyneed to compute the ratios of consecutive P values:
P(1)P(0)
=2416
=32
P(2)P(1)
=3624
=32
P(3)P(2)
=5436
=32
P(4)P(3)
=8154
=32
The ratios are constant. So P(t) can be given by a exponentialfunction. Indeed, we also know that P0 = P(0) = 16, so
P(t) = 16 · (3/2)t
1.5
ExampleCan the following table correspond to an exponential function?
t 0 1 2 3 4P 16 24 36 54 81
Solution: The t values happen to be equally spaced, so we onlyneed to compute the ratios of consecutive P values:
P(1)P(0)
=2416
=32
P(2)P(1)
=3624
=32
P(3)P(2)
=5436
=32
P(4)P(3)
=8154
=32
The ratios are constant. So P(t) can be given by a exponentialfunction. Indeed, we also know that P0 = P(0) = 16, so
P(t) = 16 · (3/2)t
1.5
ExampleCan the following table correspond to an exponential function?
t 0 1 2 3 4P 16 24 36 54 81
Solution: The t values happen to be equally spaced, so we onlyneed to compute the ratios of consecutive P values:
P(1)P(0)
=2416
=32
P(2)P(1)
=3624
=32
P(3)P(2)
=5436
=32
P(4)P(3)
=8154
=32
The ratios are constant.
So P(t) can be given by a exponentialfunction. Indeed, we also know that P0 = P(0) = 16, so
P(t) = 16 · (3/2)t
1.5
ExampleCan the following table correspond to an exponential function?
t 0 1 2 3 4P 16 24 36 54 81
Solution: The t values happen to be equally spaced, so we onlyneed to compute the ratios of consecutive P values:
P(1)P(0)
=2416
=32
P(2)P(1)
=3624
=32
P(3)P(2)
=5436
=32
P(4)P(3)
=8154
=32
The ratios are constant. So P(t) can be given by a exponentialfunction. Indeed, we also know that P0 = P(0) = 16, so
P(t) = 16 · (3/2)t
1.5
e: a Special BaseWhile any real number a > 0, a , 1 can be used as a base for anexponential function, one base is of special interest:
the Euler’sconstant
e ≈ 2.71828182845904523536 . . .
a irrational number which can be define as
limn→∞(1 + 1/n)n
or ∞∑n=0
1n!
among many other ways. We will see why it is so special inchapter 3 and chapter 5.
1.5
e: a Special BaseWhile any real number a > 0, a , 1 can be used as a base for anexponential function, one base is of special interest: the Euler’sconstant
e ≈ 2.71828182845904523536 . . .
a irrational number which can be define as
limn→∞(1 + 1/n)n
or ∞∑n=0
1n!
among many other ways. We will see why it is so special inchapter 3 and chapter 5.
1.5
e: a Special BaseWhile any real number a > 0, a , 1 can be used as a base for anexponential function, one base is of special interest: the Euler’sconstant
e ≈ 2.71828182845904523536 . . .
a irrational number
which can be define as
limn→∞(1 + 1/n)n
or ∞∑n=0
1n!
among many other ways. We will see why it is so special inchapter 3 and chapter 5.
1.5
e: a Special BaseWhile any real number a > 0, a , 1 can be used as a base for anexponential function, one base is of special interest: the Euler’sconstant
e ≈ 2.71828182845904523536 . . .
a irrational number which can be define as
limn→∞(1 + 1/n)n
or ∞∑n=0
1n!
among many other ways.
We will see why it is so special inchapter 3 and chapter 5.
1.5
e: a Special BaseWhile any real number a > 0, a , 1 can be used as a base for anexponential function, one base is of special interest: the Euler’sconstant
e ≈ 2.71828182845904523536 . . .
a irrational number which can be define as
limn→∞(1 + 1/n)n
or ∞∑n=0
1n!
among many other ways. We will see why it is so special inchapter 3 and chapter 5.
1.5
Different Forms of Exponential Functions
A general exponential growth/decay function can be written inthe form
P(t) = P0at
for a > 1 (exponential growth) and 0 < a < 1 (exponentialdecay). But it is common to use the following equivalent forms:
P(t) = P0(1 + r)t (a = 1 + r)
where r is called the percentage growth/decay rate
P(t) = P0ekt (a = ek)
where k is called the continuous growth/decay rate
1.5
Different Forms of Exponential Functions
A general exponential growth/decay function can be written inthe form
P(t) = P0at
for a > 1 (exponential growth) and 0 < a < 1 (exponentialdecay). But it is common to use the following equivalent forms:
P(t) = P0(1 + r)t (a = 1 + r)
where r is called the percentage growth/decay rate
P(t) = P0ekt (a = ek)
where k is called the continuous growth/decay rate
1.5
Different Forms of Exponential Functions
A general exponential growth/decay function can be written inthe form
P(t) = P0at
for a > 1 (exponential growth) and 0 < a < 1 (exponentialdecay). But it is common to use the following equivalent forms:
P(t) = P0(1 + r)t (a = 1 + r)
where r is called the percentage growth/decay rate
P(t) = P0ekt (a = ek)
where k is called the continuous growth/decay rate
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.Each year the population is 10% more than the previous year,i.e., 1.1 times of the previous year’s population.so the base is a = 1.1.Therefore
P(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.
Each year the population is 10% more than the previous year,i.e., 1.1 times of the previous year’s population.so the base is a = 1.1.Therefore
P(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.Each year the population is 10% more than the previous year,
i.e., 1.1 times of the previous year’s population.so the base is a = 1.1.Therefore
P(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.Each year the population is 10% more than the previous year,i.e., 1.1 times of the previous year’s population.
so the base is a = 1.1.Therefore
P(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.Each year the population is 10% more than the previous year,i.e., 1.1 times of the previous year’s population.so the base is a = 1.1.
ThereforeP(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.Each year the population is 10% more than the previous year,i.e., 1.1 times of the previous year’s population.so the base is a = 1.1.Therefore
P(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleThe population of a small town is 3500 in year 2000, and it isgrowing at an annual rate of 10%. Write down the formula ofthe population of the small town P as a function of t, thenumber of years since 2000.
Solution: the initial population is P0 = P(0) = 3500.Each year the population is 10% more than the previous year,i.e., 1.1 times of the previous year’s population.so the base is a = 1.1.Therefore
P(t) = P0at = 3500 · 1.1t
Comment: one can also use P(t) = P0(1 + r)t where r is thepercentage growth rate (section 1.7).
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million. Each year thepopulation is 5% more than the previous year, i.e., 1.05 times of theprevious year’s population. So the base is a = 1.05. And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million.
Each year thepopulation is 5% more than the previous year, i.e., 1.05 times of theprevious year’s population. So the base is a = 1.05. And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million. Each year thepopulation is 5% more than the previous year,
i.e., 1.05 times of theprevious year’s population. So the base is a = 1.05. And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million. Each year thepopulation is 5% more than the previous year, i.e., 1.05 times of theprevious year’s population.
So the base is a = 1.05. And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million. Each year thepopulation is 5% more than the previous year, i.e., 1.05 times of theprevious year’s population. So the base is a = 1.05.
And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million. Each year thepopulation is 5% more than the previous year, i.e., 1.05 times of theprevious year’s population. So the base is a = 1.05. And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.
So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleSuppose the population of the United States is growing at aconsistent annual rate of 5% for the next century. Calculate thepopulation of the United States 100 years later. (Currently thepopulation is slightly more than three hundred million)
Solution: Use the initial population 300 million. Each year thepopulation is 5% more than the previous year, i.e., 1.05 times of theprevious year’s population. So the base is a = 1.05. And therefore
P(t) = 300 · (1.05)t
where t is the number of years since today.So the population 100 years later is
P(100) = 300 · (1.05)100 ≈ 39, 450.37
I.e., close to 40 billion.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t
with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.
We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5
⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.
1.5
ExampleThe number of registered users of a popular social mediawebsite grew exponentially from 5, 000 to 1, 000, 000 over thelast 5 years. Find the annual percentage growth rate over thisperiod.
Solution: We should use the model P(t) = P0(1 + r)t with P0 = 5000.We know that P(5) = 1000000, so we get the equation
1000000 = P(5) = 5000(1 + r)5
simplify, we get
200 = (1 + r)5 ⇒ 1 + r = 20015 ≈ 2.8854
and thusr ≈ 1.8854
I.e., the annual percentage growth rate is approximately 188.54%.