Learning Outcomes
- Use the epsilon-delta definition to prove the limit laws
- Describe the epsilon-delta definitions of one-sided limits and infinite limits
We now demonstrate how to use the epsilon-delta definition of a limit to construct a rigorous proof of one of the limit laws. The triangle inequality is used at a key point of the proof, so we first review this key property of absolute value.
Definition
The triangle inequality states that if aa and bb are any real numbers, then |a+b|≤|a|+|b||a+b|≤|a|+|b|.
Proof
We prove the following limit law: If limx→af(x)=Llimx→af(x)=L and limx→ag(x)=Mlimx→ag(x)=M, then limx→a(f(x)+g(x))=L+Mlimx→a(f(x)+g(x))=L+M.
Let ε>0ε>0.
Choose δ1>0δ1>0 so that if 0<|x−a|<δ10<|x−a|<δ1, then |f(x)−L|<ε/2|f(x)−L|<ε/2.
Choose δ2>0δ2>0 so that if 0<|x−a|<δ20<|x−a|<δ2, then |g(x)−M|<ε/2|g(x)−M|<ε/2.
Choose δ=min{δ1,δ2}δ=min{δ1,δ2}.
Assume 0<|x−a|<δ0<|x−a|<δ.
Thus,
Hence,
We now explore what it means for a limit not to exist. The limit limx→af(x) does not exist if there is no real number L for which limx→af(x)=L. Thus, for all real numbers L, limx→af(x)≠L. To understand what this means, we look at each part of the definition of limx→af(x)=L together with its opposite. A translation of the definition is given in the table below.
Definition | Opposite |
---|---|
1. For every ε>0, | 1. There exists ε>0 so that |
2. there exists a δ>0 so that | 2. for every δ>0, |
3. if 0<|x−a|<δ, then |f(x)−L|<ε. | 3. There is an x satisfying 0<|x−a|<δ so that |f(x)−L|≥ε. |
Finally, we may state what it means for a limit not to exist. The limit limx→af(x) does not exist if for every real number L, there exists a real number ε>0 so that for all δ>0, there is an x satisfying 0<|x−a|<δ, so that |f(x)−L|≥ε. Let’s apply this in the example to show that a limit does not exist.
Example: Showing That a Limit Does Not Exist
Show that limx→0|x|x does not exist. The graph of f(x)=|x|x is shown here:

Figure 4.
Watch the following video to see the worked solution to Example: Showing That a Limit Does Not Exist.
Finding Deltas Algebraically for Given Epsilons
Now that we have proven limits, we can now apply them with actual numbers for ε and δ. Think of ε as the error in the x-direction and δ to be the error in the y-direction. These have applications in engineering when these errors are considered tolerances. We want to know what the error intervals are, and we are trying to minimize these errors.
Example: Finding deltas algebraically, Part 1
Find an open interval about x0 on which the inequality |f(x)−L|<0 holds. Then give the largest value δ>0 such that for all x satisfying 0<|x−x0|<δ the inequality |f(x)−L|<ε holds.
f(x)=2x−8,L=6,x0=7,ε=0.14
Example: Finding deltas algebraically, Part 2
Find an open interval about x0 on which the inequality |f(x)−L|<0 holds. Then give the largest value δ>0 such that for all x satisfying 0<|x−x0|<δ the inequality |f(x)−L|<ε holds.
f(x)=√x+4,L=3,x0=5,ε=1
One-Sided and Infinite Limits
Just as we first gained an intuitive understanding of limits and then moved on to a more rigorous definition of a limit, we now revisit one-sided limits. To do this, we modify the epsilon-delta definition of a limit to give formal epsilon-delta definitions for limits from the right and left at a point. These definitions only require slight modifications from the definition of the limit. In the definition of the limit from the right, the inequality [latex]0
Definition
Limit from the Right: Let f(x) be defined over an open interval of the form (a,b) where [latex]a
if for every ε>0, there exists a δ>0 such that if [latex]0
Limit from the Left: Let f(x) be defined over an open interval of the form (a,b) where [latex]a
if for every ε>0, there exists a δ>0 such that if [latex]0