Section 1.2 Epsilon-Delta Definition of a Limit
This section introduces the formal definition of a limit. Many refer to this as “the epsilon-delta” definition, referring to the letters and of the Greek alphabet.
Before we give the actual definition, let’s consider a few informal ways of describing a limit. Given a function and an -value, we say that “the limit of the function as approaches is a value ” if:
- Tends
- Approaches
- Near
The problem with these definitions is that the words “tends,” “approach,” and especially “near” are not exact. In what way does the variable tend to, or approach, How near do and have to be to and respectively?
The definition we describe in this section comes from formalizing “Near”. A quick restatement gets us closer to what we want:
- Tolerance Levels
- If
is within a certain tolerance level of then the corresponding value is within a certain tolerance level of
The traditional notation for the -tolerance is the lowercase Greek letter delta, or and the -tolerance is denoted by lowercase epsilon, or One more rephrasing of “Tolerance Levels” nearly gets us to the actual definition:
- Named Tolerance Levels
or
The point is that and being tolerances, can be any positive (but typically small) values satisfying this implication. Finally, we have the formal definition of the limit with the notation seen in the previous section.
Definition 1.2.2. The Limit of a Function
Mathematicians often enjoy writing ideas without using any words. Here is the wordless definition of the limit:
Note the order in which and are given. In the definition, the -tolerance is given first and then the limit will exist if we can find an -tolerance that works.
An example will help us understand this definition. Note that the explanation is long, but it will take one through all steps necessary to understand the ideas.
Example 1.2.4. Evaluating a limit using the definition.
Show that
Solution 1.
Before we use the formal definition, let’s try some numerical tolerances. What if the tolerance is or in other words How close to does have to be so that is within units of That is, In this case, we can proceed as follows:
So, what is the desired tolerance? Remember, we want to find a so that is smaller than Since then if we require then we have
Therefore we can have See Figure 1.2.5.
Graph of the function There are three points on the graph, the first is at giving the point For the second point we have making which gives the point The third point found at which gives giving the point
Taking and adding we get which is and taking and subtracting we again get This shows the range given by
There are two vertical lines near the axis, at One which goes down and the other goes up. The length of the lines represents and are used to show that the points and are within of the point
Graph of the equation There are three points on the graph, the first is at giving the point For the second point we have making which gives the point The third point found at which gives giving the point
This graph has the same vertical lines as Figure 1.2.5.(a) There are also horizontal lines near the axis, showing the distance from to is and the distance from to 4 is
Given the tolerance we have found an tolerance, such that whenever is within units of then is within units of That’s what we were trying to find.
Let’s try another value of
What if the tolerance is i.e. How close to does have to be in order for to be within units of (In other words for ) Again, we just square these values to get or
What is the desired tolerance? In this case we must have which is the minimum distance from of the two bounds given above.
What we have so far: if then leads to being less than from and if then being less than from A pattern is not easy to see, so we switch to general try to determine an adequate symbolically. We start by assuming is within units of
The “desired form” in the last step is “ ” Since we want this last interval to describe an tolerance around 4, we have that either or whichever is smaller:
Since we have the minimum is That’s the formula: given an set
We can check this for our previous values. If the formula gives and when the formula gives
So given any set Then if (and ), then satisfying the definition of the limit. We have shown formally (and finally!) that
Solution 2. Video solution
The previous example was a little long in that we sampled a few specific cases of before handling the general case. Normally this is not done. The previous example is also a bit unsatisfying in that why work so hard to prove something so obvious? Many - proofs are long and difficult to do. In this section, we will focus on examples where the answer is, frankly, obvious, because the non-obvious examples are even harder. In the next section we will learn some theorems that allow us to evaluate limits analytically, that is, without using the - definition.
Example 1.2.6. Evaluating a limit using the definition.
Show that
Solution 1.
Let’s do this example symbolically from the start. Let be given; we want i.e., How do we find such that when we are guaranteed that
This is a bit trickier than the previous example, but let’s start by noticing that Consider:
Could we not set
We are close to an answer, but the catch is that must be a constant value (so it can’t depend on ). There is a way to work around this, but we do have to make an assumption. Remember that is supposed to be a small number, which implies that will also be a small value. In particular, we can (probably) assume that If this is true, then would imply that giving
Now, back to the fraction If then (add to all terms in the inequality). Taking reciprocals, we have
which implies
which implies
This suggests that we set To see why, let consider what follows when we assume
We have arrived at as desired. Note again, in order to make this happen we needed to first be less than That is a safe assumption; we want to be arbitrarily small, forcing to also be small.
We have also picked to be smaller than “necessary.” We could get by with a slightly larger as shown in Figure 1.2.7. The outer lines show the boundaries defined by our choice of The inner lines show the boundaries defined by setting Note how these dotted lines are within the dashed lines. That is perfectly fine; by choosing within the dotted lines we are guaranteed that will be within of
Graph of zoomed in where There are three points on the graph:
since when we get because when when we get
There is a vertial line showing the point is from the point because Another vertical line is used to show the point is from the point since
There are also vertical lines at and This creates two sets of vertical lines, the outer set is at and The inner set is at and The out set of lines mark where while the inner set marks
The inner set of vertical lines shows that the points at and are not within of the point
There are horizontal lines that are between the inner vertical lines marking
In summary, given set Then implies (i.e. ) as desired. This shows that Figure 1.2.7 gives a visualization of this; by restricting to values within of we see that is within of
Solution 2. Video solution
Make note of the general pattern exhibited in these last two examples. In some sense, each starts out “backwards.” That is, while we want to
- start with
and conclude that
we actually start by doing what is essentially some “scratch-work” first:
- assume
then perform some algebraic manipulations to give an inequality of the form something.
When we have properly done this, the something on the “greater than” side of the inequality becomes our We can refer to this as the “scratch-work” phase of our proof. Once we have we can formally start the actual proof with and use algebraic manipulations to conclude that usually by using the same steps of our “scratch-work” in reverse order.
We highlight this process in the following example.
Example 1.2.8. Evaluating a limit using the definition.
Prove that
Solution 1.
We start our scratch-work by considering
We are at the phase of saying that something, where We want to turn that something into
Since is approaching we are safe to assume that is between and So
Since we can add and respectively, to each part of the inequality and maintain the inequality.
So we set This ends our scratch-work, and we begin the formal proof (which also helps us understand why this was a good choice of ).
Given let We want to show that when then We start with
which is what we wanted to show. Thus
Solution 2. Video solution
We illustrate evaluating limits once more.
Example 1.2.9. Evaluating a limit using the definition.
Prove that
Solution.
Symbolically, we want to take the inequality and unravel it to the form Here is our scratch-work:
Making the safe assumption that ensures the last inequality is valid (i.e., so that is defined). We can then set to be the minimum of and i.e.,
Now, we work through the actual the proof:
The above line is true by our choice of and by the fact that since and we know
In summary, given let Then implies as desired. We have shown that
We note that we could actually show that for any constant We do this by factoring out from both sides, leaving us to show instead. By using the substitution this reduces to showing which we just did in the last example. As an added benefit, this shows that in fact the function is continuous at all values of an important concept we will define in Section 1.5.
This formal definition of the limit is not an easy concept grasp. Our examples are actually “easy” examples, using “simple” functions like polynomials, square roots and exponentials. It is very difficult to prove, using the techniques given above, that as we approximated in Section 1.1.
There is hope. Section 1.3 shows how one can evaluate complicated limits using certain basic limits as building blocks. While limits are an incredibly important part of calculus (and hence much of higher mathematics), rarely are limits evaluated using the definition. Rather, the techniques of Section 1.3 are employed.