Applying Exponential Models (College Board AP® Precalculus): Study Guide
Applying exponential models
What does the base of an exponential model tell us?
For an exponential model in general form
the base
is the growth factor
it tells you by what factor the output is multiplied each time the input increases by 1 unit
The growth factor is directly related to the percent change per unit
If
, the quantity is growing
and the percent increase per unit is
E.g.
means an 8% increase per unit input
If
, the quantity is decaying
and the percent decrease per unit is
E.g.
means a 5% decrease per unit input
It is important to remember that the growth factor applies per unit of the input variable
E.g. if the model is
and
is in years
then the quantity grows by 3% per year
If you need the growth rate per a different time period, you need to rewrite the model (see below)
How do I handle growth rates over non-unit intervals?
A common exam scenario is when the growth rate is given per one time unit but the model uses a different time unit
The key is to express the exponent so that it counts the number of growth periods
E.g. a population grows by 5% per month, and
is measured in years
The monthly growth factor is
and in
years there are
months
So the model is
E.g. a substance decays by 10% per decade, and
is measured in years
The decay factor per decade is
and in
years there are
decades
So the model is
Examiner Tips and Tricks
Remember that the growth factor for a percent increase of is
, not
.
E.g. a 6.1% increase per quarter means the growth factor is
, not
Similarly the decay factor for a percent decrease of is
.
A common error is confusing the exponent direction
E.g. if the rate is per quarter and
is in years the exponent should be
(more growth periods per year), not
would be correct if the rate were per year and
were per quarter
Examiner Tips and Tricks
When a question gives a percent change per some time period and asks for a model in a different time unit, the most common error is getting the exponent backwards (e.g. writing instead of
, or vice versa).
A quick check is to substitute a simple value of and see if the number of growth periods makes sense.
E.g., if
year and growth is per quarter, there should be 4 growth periods
So the exponent should equal 4
How can equivalent forms of an exponential function reveal different information?
The same exponential function can be written in equivalent forms that highlight different properties
The general principle is that
for any nonzero constant
This means you can rewrite the base to show the growth factor over any time interval
E.g.
(quantity doubles every day, where
is in days)
Weekly form:
the quantity grows by a factor of 128 every 7 days (every week)
Hourly form:
the quantity grows by a factor of
every hour
E.g. A radioactive substance has a half-life of 8 days
This means that every 8 days the initial amount is multiplied by
The decay model is
, where
is in days
Every 8 days, the amount is multiplied by 0.5
To convert to
measured in hours
There are 24 hours in a day
so
Therefore
This shows the decay factor per hour is
To convert to
measured in weeks
There are 7 days in a week
so
Therefore
This shows the decay factor per week is
In general, converting between time units involves
substituting the relationship between the units into the exponent
then simplifying
Examiner Tips and Tricks
For unit conversion problems, always verify your answer by checking that the original rate is preserved.
E.g. if the half-life is 8 days, substituting 8 days' worth of the new time unit into your converted model should give a decay factor of 0.5
How do I use an exponential model to make predictions?
Once you have an exponential model, you can predict output values
by substituting input values into the function
You can also predict input values
by substituting output values into the function
and solving to find the corresponding input value
There are a number of things to keep in mind
Predictions are only meaningful within the contextual constraints of the domain
E.g. if
represents time since an event, negative values of
may not make sense
Models may not remain valid indefinitely
Real-world growth and decay often level off or change behavior over time
The model gives only approximate predictions
especially when based on a regression or limited data
The model may not remain valid beyond the range of data used to construct it
Just as with any model
Worked Example
The number of subscribers, in thousands, to a streaming service is modeled by the function . The number of subscribers is expected to increase by 3.5% each month. At time
years, the service had 200 thousand subscribers. If
is measured in years, which of the following is an expression for
? (Note: A month is one twelfth of a year.)
(A)
(B)
(C)
(D)
Answer:
The initial value is
This occurs in all the answer options
A 3.5% increase each month means the monthly growth factor is
Since is measured in years, and there are 12 months in a year
there are
months in
years.
So the model should be
(D)
Worked Example
A bacteria colony doubles in size every 6 hours. The number of bacteria can be modeled by the function given by
, where
is the number of bacteria at time
and
is the number of hours since
.
Which of the following functions models the number of bacteria remaining after
minutes, where
is the number of bacteria at time
? (There are 60 minutes in an hour, so
.)
(A)
(B)
(C)
(D)
Answer:
Write in terms of
Substitute that for in the original model:
That is answer is option (D)
You can check this answer quickly
The colony should double every 6 hours = 360 minutes
Using the model with
The initial quantity doubles in that time, as expected
(D)
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