Cantor intersection theorem
For a non empty subset of a metric space , we say is bounded provided it has finite diameter. A descending sequence of non empty subsets of is called a contracting sequence if .
Definition 175.1.
A metric space is said to have the Cantor intersection property if whenever is a contracting sequence of non empty closed subsets of , , .
Note the similarity between the Cantor intersection property (of a metric space) and the nested interval property (of ).
Theorem 175.2(Cantor Intersection Theorem).
d823bdA metric space has the Cantor intersection property if and only if it is complete.
Proof.
Let be a Cauchy sequence. For each index define to be . For all , there exists such that for all , . Thus, , from which it follows that (for all too, since the diameters are decreasing). Thus, , and is a contracting sequence. Thus, , . For all , or is a limit point of (or both). In any case, for all . This allows us to select a subsequence of which converges to . If a subsequence of a Cauchy sequence converges to a point, the entire sequence converges to said point. Thus, , every Cauchy sequence converges, and is complete.
Let be a contracting sequence of nonempty closed subsets of . Pick for each . For any , there exists such that , ., for all . This makes a Cauchy sequence. Since is complete, it must converge, say to a point . Then, is a limit point of each . Since is closed for all , for all . Thus, . The intersection does not contain more than one point, since if it did, then .□
Completion of a metric space
Definition 175.3.
407939Let be a metric space. Then there is a complete metric space called the completion of for which is a dense subset of and for all .
Constructing the completion of a metric space
Let be a metric space. We will assume that is a complete metric space, so remember that what follows hinges on a separate proof of the completeness of .
Suppose and are two Cauchy sequences in . Then, is a Cauchy sequence in , and hence must converge. Let be the space of all Cauchy sequences in . Define . It is easy to see that
- , and implies .
- is symmetric
- triangle inequality holds
However, does not imply . is what is called a pseudometric, and is called a pseudometric space. On such a space, one can define the relation if . This is an equivalence relation, and partitions into equivalence classes . Define . This is well defined1. That makes a metric space.
is complete
Consider a Cauchy sequence in : . By passing to subsequences if necessary, we can assume that given , for all . Similarly, by passing to subsequences if necessary, we can assume that for all , given , for all .
Let . We will first show that is a Cauchy sequence in , and then that .
Let . Choose such that . Now, for all , . Since , , so there exists such that when . Take . Now,
Thus, for all , and is a Cauchy sequence in .
Let . Choose such that . Let . . For , we can always find such that . So, we have . Thus,
Thus, and is complete.
is dense in
For each , there is a Cauchy sequence all of whose terms are . Let be the element of which contains this sequence. Define the map by . It is easy to see that is an isometry, ., for all .
We will now show that is dense in . Let such that . Consider the sequence in . Since is a Cauchy sequence in and , is a Cauchy sequence in . Let . There exists such that for all , . Thus, for , . Therefore, , proving that is dense in .
Footnotes
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Let and . Write and its dual equation bounding . Combine them to get . It follows that , or . ↩