is defined for all values of except , because substitution of in the expression for yields the undefined fraction . But because , if we can simplify the fraction as
So the graph of is the line with one point removed, namely . This point is shown as a hole in Figure 1.
Figure 1: Graph of
Now let’s investigate the values of when is close to 1 but not equal to 1. Let take on the values , and so on or take on the values , and so on. The corresponding values of are shown in the following table.
From this table and graph of shown in Figure 1, we see that as gets closer and closer to 1 (on either side of 1), but not equal to 1, gets closer and closer to 4; the closer is to 1, the closer is to 4. More specifically, we can make the values of as close to 4 as we desire by taking close enough to 2. We express this by saying that “the limit of as approaches is ” or simply “ approaches 4 as approaches 1,” or “ tends to as tends to ,” and express it symbolically as
or
In general
Definition 1 (Unofficial Definition): If we can make the values of as close as we please to a number by taking sufficiently close (but not equal) to , we say “the limit of as approaches is ” and write
or
According to the above definition, approaches but , so the nonexistence or existence of at or the value of (if exists) has no bearing on the existence or on the value of . For example, if we define the function as
then and defined at the beginning of this section are basically the same except when (see Figure 2(a) and (b))
therefore
(a) Graph of
(b) Graph of defined above
Figure 2: As we can see except when , and
For now to evaluate the limits, we use numerical and graphical approaches.
Example 1
Evaluate
Solution
Let approach from both sides
As the above table shows and we expect from the graph of (Figure 3), as approaches , approaches .
Figure 3: Graph of
Example 2
Evaluate .
Solution
Let's choose some values of close to 2 and calculate the corresponding values of . The results are tabulated in the following table.
It appears as if were approaching the limit . To verify this, we factor the numerator and simplify the fraction as
From this, it appears that can be made as near as we please by taking sufficiently close to 2 (See Figure 4). Hence –1 is the limit of as approaches 2.
Figure 4: Graph of
Example 3
Evaluate .
Solution
Again we note that the function is not defined at , but we can construct the following table by choosing some values of close to and calculate the corresponding values of . Recall that means the angle is measured in radians, so you need to set your calculator in radian mode. (See the Section on Angles).
The graph of is shown in the following figure. From the above table and this figure, we may conclude
Figure 5: Graph of .
When Numerical Approach Fails
Read more on when computers may give false answers
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In the previous examples, we used a calculator/computer to numerically evaluate the values of the given function for near the given point. However, in some cases, computers may give false results. Here is an example of such situations.
Example 4
Evaluate .
Solution
The function
is not defined when . Let’s construct a table to list the values of for several values of near .
From this table, we may conclude that
We might be tempted to choose some values of closer to . Let’s try it out.
The values in the above table are given by WolframAlpha.com (see the following figure).
Figure 6: Calculations with WolframAlpha
If you use a calculator, you might get a different value, but eventually, you will get if you make sufficiently close to zero. Do these calculations show us the limit is instead of ? Let’s graph this function (see the following figure). Again it seems that the limit is .
Figure 7: Graph of when
Let’s zoom in and graph this function again for values of closer to .
Figure 8: Graph of for
What is the reason for this strange behavior? This behavior originates from the fact that calculators and computers retain only a fixed number of digits during a calculation. For example, if a calculator stores only 4 significant digits, then 0.34246 and 0.34254 are both stored as 0.3425. In this specific example, when is very close to , is so close to 1 that the computer cannot distinguish between them. This undesirable effect is called “loss of significance.” It almost always occurs when subtracting two nearly equal numbers. Ways to avoid loss of significance are studied in numerical methods.
are equal except when because the first one is not defined for but the second one is. The following table lists the values of for several points approaching .
Calculations with WolframAlpha.com and the graph of are shown below.
The graph of this function is shown in the following figure . When approaches through positive numbers, approaches [although for , we still say approaches ]. When approaches through negative numbers, approaches . Therefore, there is no single number that approaches as approaches from either side. Therefore does not exist.
Figure 10: Graph of
In general, the limit of as approaches a number (if exists) is unique, because for all near , cannot be near two different numbers at the same time.