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)limx→af(x) does not exist if there is no real number LL for which limx→af(x)=Llimx→af(x)=L. Thus, for all real numbers LL, limx→af(x)≠Llimx→af(x)≠L. To understand what this means, we look at each part of the definition of limx→af(x)=Llimx→af(x)=L together with its opposite. A translation of the definition is given in the table below.
Definition | Opposite |
---|---|
1. For every ε>0ε>0, | 1. There exists ε>0ε>0 so that |
2. there exists a δ>0δ>0 so that | 2. for every δ>0δ>0, |
3. if 0<|x−a|<δ0<|x−a|<δ, then |f(x)−L|<ε|f(x)−L|<ε. | 3. There is an xx satisfying 0<|x−a|<δ0<|x−a|<δ so that |f(x)−L|≥ε|f(x)−L|≥ε. |
Finally, we may state what it means for a limit not to exist. The limit limx→af(x)limx→af(x) does not exist if for every real number LL, there exists a real number ε>0ε>0 so that for all δ>0δ>0, there is an xx satisfying 0<|x−a|<δ0<|x−a|<δ, so that |f(x)−L|≥ε|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|xlimx→0|x|x does not exist. The graph of f(x)=|x|xf(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 εε and δδ. Think of εε as the error in the xx-direction and δδ to be the error in the yy-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 x0x0 on which the inequality |f(x)−L|<0|f(x)−L|<0 holds. Then give the largest value δ>0δ>0 such that for all xx satisfying 0<|x−x0|<δ0<|x−x0|<δ the inequality |f(x)−L|<ε|f(x)−L|<ε holds.
f(x)=2x−8,L=6,x0=7,ε=0.14f(x)=2x−8,L=6,x0=7,ε=0.14
Example: Finding deltas algebraically, Part 2
Find an open interval about x0x0 on which the inequality |f(x)−L|<0|f(x)−L|<0 holds. Then give the largest value δ>0δ>0 such that for all xx satisfying 0<|x−x0|<δ0<|x−x0|<δ the inequality |f(x)−L|<ε|f(x)−L|<ε holds.
f(x)=√x+4,L=3,x0=5,ε=1f(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