Definition
Let and be metric spaces. Let and
Let be a limit point of ( need not be in ). Let . We say
if such that for all with
As we get closer to by , we get closer to by .
Example 1
Let where . Then is a limit point of but not in . However, we can claim .
Proof: Let . Choose . If and then
and so we are done.
Example 2
then does not exist.
Proof: Suppose by contradiction the limit is . Let . Then such that
By Archimedean Property, such that . By picking larger, we can get . Then , note and , so
which is a contradiction.
Lemma (Sequential Characterization of Limits)
Let be metric spaces. Let be a limit point, . Then
Proof: Suppose . Let . Then such that . We have .
We’ve chosen some , and rewrote the definition of function limits. The goal is that if and , , then . (Unfold definitions.)
Since such that , and since . Hence, by definition of , we have that . Then .
Suppose and that .
The goal is to show . We show by contradiction since the goal is static.
Suppose . Then
Apply for , this negation to . Then but
Now we have , since then and . So by assumption, . This is a contradiction.
Corollary (Uniqueness of Limits)
If has a limit at , then the limit is unique.
Proof: We apply the previous lemma and the uniqueness of of limits of Sequences.
Corollary (Algebra of Limits)
Let . Suppose
- Then
- If ,
Proof: This follows from Lemma (Sequential Characterization of Limits) and Lemma (Algebra of Sequences).
Lemma (Continuity = Limits)
If and is a limit point of , then
Proof: For every such that , if , then . But then this is the definition of limits as the limit .
Let . Choose as in the definition of limit. Suppose now that . We have 2 cases:
- . Then . Moreover,
- . Then . By definition of limits, .
Corollary (Sequential Characterization of Continuity)
Let , . Then is continuous at we have .
Corollary (Algebra of Continuous Functions)
Let where are metric spaces. Then if are continuous at , then
- is continuous at .
- is continuous at .
- is continuous at if