More on the Limits of Functions
The basic concept upon which
calculus depends is the limit of a function. Consider a circular
plastic plate that is expanding uniformly because it is being heated. If
the radius is represented by the symbol, x, the area of the plate is given by
. [A is the
function.]
As x gets closer and closer to 3
inches, the area, A, gets closer and closer to
square
inches. Another way saying this is “as x approaches 3, the value of
approaches
as a limit.”
A symbolic
way of saying the same thing is
.
If
is a function and
is a number, then
the notation
means that
gets closer and
closer to the real number
as
gets closer and
closer to the real number
.
Example 1:
where
is
the function and 35 is the limit of the function as x gets closer and closer to
5.
Example
2: ![]()
![]()
where
is
the function and 25 is the limit of the function as
gets
closer and closer to 3.
In examples 1 and 2, we determined the limit of the function by simple arithmetic substitution. Many times we cannot determine the limit of a function by this type of simple arithmetic substitution. The function values may jump around so that they never settle down and approach a limit, in which case we say that the limit does not exist. The function may also be so complicated that the limit, even thought it exists, is not evident by this type of substitution.
Example 3: If we try to
calculate
by the means we used
in examples 1 and 2, we get
, which has no
meaning. We cannot say that a limit exists and we cannot say that a limit
does not exist.
So how do we find the limit of the function at
when the
function is not defined at
? We start by
evaluating the function with numbers to the left of 2 and to the right of
2. We are interested in the behavior of the values of the function as the
x gets closer and closer to 2.
Let’s first examine the function
values to the left of
as the values of
get closer and
closer to 2.
|
|
1 |
1.5 |
1.8 |
1.9 |
1.99 |
1.999 |
1.9999 |
|
|
5 |
6.50 |
7.40 |
7.70 |
7.97 |
7.997 |
7.9997 |
According to the above table, it
appears that as x approaches the value of 2 from the left, the function value
is getting closer and closer to 8. A symbolic way of saying this is
.
Let’s next examine the function
values to the right of
as the values get
closer and closer to 2.
|
|
3 |
2.5 |
2.2 |
2.1 |
2.01 |
2.001 |
2.00001 |
|
|
11 |
9.50 |
8.60 |
8.30 |
8.03 |
8.003 |
8.00003 |
According to the above table, it appears
that as x approaches the value of 2 from the right, the function value is
getting closer and closer to 8. A symbolic way of saying this is
.
Since
and
, we say
that
.
Let’s rewrite the same problem as
.
Recall that
as
long as
. What does this
graph look like? It looks like a line with a hole at
.
In the above example, it did not matter that the function was not defined at 2. The only thing that did matter was how the function is defined (behaved) for values of x near 2.
Example 4: Note that there
is no problem in calculating
because the function
is defined for
.
We are now going to talk about a
more formal definition of limit. To say, “
comes
closer and closer to the real number
as
x comes closer and closer to the real number a” is not precise enough.
How close is
to
close enough?
How close is
to
close enough?
You might think “who cares?” As it turns out, many people do. Suppose, for example, you are the director of a fiber optics project. You have to guarantee to your client a specific flow rate of 10 seconds plus or minus 0.0001 seconds. The thickness of the cable is directly proportional to the expansion/contraction possibilities of the cable. How thick/thin should the cable be to guarantee that the flow will be within 0.001 seconds of the required rate (limit)? You could tell your client that if the radius of the cable is .25 millimeters plus or minus 0.0015 millimeters, you could guarantee that the flow will be within plus or minus 0.0001 seconds of the required 10 seconds.
Let’s talk about what how we
symbolize the values 0.0015 and 0.0001 so that they can be easily changed in a
discussion. The 0.0015 will represent “delta” and the symbol for “delta”
is
. The 0.0001 will
represent “epsilon” and the symbol for “epsilon” is
.
For this problem, we say that if the radius is in the interval
,
we can guarantee the flow rate (limit) is within the interval
.
In terms of delta and epsilon, we
write if
, then
.
Yet another way of saying the same
thing is that whenever
, where
is the radius, then
, where
is time.
This means that if the function has
a limit at a particular value, we can require that
can be
as small as we want, and we will always find a
that
will guarantee it.
Let’s now write a formal definition of the limit of a function.
Let
be
a function defined on some open interval containing the number
, except possibly at the
number
itself. For example, the open interval
contains
the number 3. However, we can also say we want the set of all the real
numbers in the interval
except the number
3. The limit could still exist at
even
thought the function is not defined at
.
The statement
means
that, for each positive number,
, there exists a positive
number,
, such that
holds whenever
.
Example 5: Let’s go back
to example 1,
, and
require the
. We are asking for
what interval
can we guarantee
that the values of
will be in the
interval
.
Let
.
This statement can represented by the absolute inequality
which
can be restated as
and finally as
.
Let’s now see if we can work the
inequality
so that the center
of the inequality is
or
.



Remember we want
. Let
and solve for
.
![]()
This tells us that if we choose any number in the interval
, the
function value will be within 0.00001 units of the limit of 35.
Let’s check this out at
.
.
Note that
and
0.000005 is less than the required epsilon of 0.00001.
A Graphical Explanation:
Sketch
and
sketch the lines
and
. Let’s find the
points of determine where the graph of
intersects
the graphs of
and
.


In order to have the function
value fall within
units of 35, we must
require that the values of
fall within
units of 5.
Therefore, ![]()
If we require that
, Example 5 above, then
, same as we found above.
Example 6:
Let’s prove that the limit of the function,
, as x approaches 4, is
22. Another way of saying this is let’s prove
.
To prove
, we have to show that for
any given real number,
, no matter how small,
there is a real number,
, such that when we
evaluate the function with a number within the interval
,
the value of the function will always be in the interval
.
A symbolic way of saying the same thing is
whenever
.

This means if we choose the
, we can
guarantee that the limit of the function will be within
units
of 22.
Let’s illustrate this with an example:
Suppose we require the limit of the function be within 0.0001 units of 22. How tight an interval around 4 do we need to achieve this?
Since
, set
.
If we evaluate the function at any real number in the interval
, the function value will
be within 0.0001 units of 22.
and ![]()
A graphical look at the problem is as follows:
Find the point where the graph of
crosses
the graph of
and
.


This shows that the distance between the graph of the
function and each of the horizontal lines
and
is
whenever
. This means that
.
Example 7:
Prove
.
Clearly
does not
exist. So what we want to show is that the function values for numbers
close to
are close to 8.
To prove this we have to show that for any given real
number,
, no matter how small,
there is a real number,
, such that
when we evaluate the function with a number within the interval
, the value of the
function will be in the interval
.
A graphical look at the problem is as follows:
Find the point where the graph of
crosses
the graph of
and
.


This shows that the distance between the graph of the
function and each of the horizontal lines
and
is
when
. This means that
.
Let’s verify this with an example: How tight an
interval do we need around
so that the value of
the function will be within 0.0001 units of 8. According to
the above, since
, if we set up an interval
within 0.0001 of -4, the function value will be within 0.0001 units of 8.
Let’s choose
because
![]()
and
![]()
What about functions with no limits?
Consider the function
.
Graph this function and you will see a gap in the graph at
.
This means that the limit of the function at
does
not exist. How do we prove this?
We start out by assuming
that the limit does exist at
and when we find a
contradiction, we know that our initial assumption is incorrect. If our
initial assumption that the function exists is not true, then the only other
alternative is that the limit of the function does not exit at
.
Assume
, where L is a real
number. This means we can choose any value for
and
we know that there is a value
such that
, where
is in the interval
, will be within
units of L.
For the sake of an example, let’s choose
.
If the limit exists, there exist a
such
that
whenever
.
This means that
or
.
. This means that
or
.
From the above we require that
and
. Since this is
impossible, our initial assumption that the limit exists at
is
incorrect. There is no limit to this function as x approaches the value
of 2.