Compactness
5.1 Open Covers
Section titled “5.1 Open Covers”Definition. Let be a topological space. An open cover of is a collection of open sets such that .
A subcover is a subcollection () that still covers . A finite subcover has .
5.2 Compact Spaces
Section titled “5.2 Compact Spaces”Definition. A topological space is compact if every open cover of has a finite subcover.
Theorem 5.1 (Heine–Borel). A subset of (with the standard topology) is compact if and only if it is closed and bounded.
Example 5.1. is compact in . is not compact: the open cover has no finite subcover.
Example 5.2. is not compact (it is not bounded). Any finite set is compact.
Proposition 5.1. Every closed subset of a compact space is compact.
Proposition 5.2. Every compact subset of a Hausdorff space is closed.
5.3 Compactness in
Section titled “5.3 Compactness in R\mathbb{R}R”Theorem 5.2. The closed interval is compact (with the standard topology on ).
Proof. Let be an open cover of . Let
Then (since some ), so . Let . One shows and , completing the proof.
5.4 Products: Tychonoff”s Theorem
Section titled “5.4 Products: Tychonoff”s Theorem”Theorem 5.3 (Tychonoff). The product of any collection of compact spaces is compact.
For finite products, Tychonoff’s theorem follows from the tube lemma and is accessible without the axiom of choice. For arbitrary products, the full axiom of choice is required.
5.5 Sequential Compactness
Section titled “5.5 Sequential Compactness”Definition. A space is sequentially compact if every sequence in has a convergent subsequence.
Theorem 5.4. In metric spaces, compactness and sequential compactness are equivalent.
Proposition 5.3. For : compact sequentially compact closed and bounded.
5.6 Compactness and Continuity
Section titled “5.6 Compactness and Continuity”Theorem 5.5 (Extreme Value Theorem, generalised). If is compact and is continuous, then attains its maximum and minimum on .
Proof. Since is continuous, is compact in , hence closed and bounded. A closed bounded subset of contains its supremum and infimum.
Proposition 5.4. The continuous image of a compact space is compact.
5.7 The Tube Lemma
Section titled “5.7 The Tube Lemma”Lemma 5.5 (Tube Lemma). Let be compact and any space. If is an open set containing the slice , then there exists a neighbourhood of in such that .
The tube lemma is the key ingredient in proving Tychonoff’s theorem for finite products and shows how compactness of the first factor allows local control to be extended globally.
5.8 Compactness in Metric Spaces
Section titled “5.8 Compactness in Metric Spaces”In metric spaces, compactness admits several equivalent characterisations:
Theorem 5.6. For a metric space , the following are equivalent:
- is compact.
- is sequentially compact.
- is complete and totally bounded (every -net is finite).
Definition. A space is locally compact if every point has a compact neighbourhood. is locally compact but not compact. Locally compact Hausdorff spaces admit a one-point compactification (the Alexandroff compactification).
Example 5.3 (Cantor Set). The Cantor set is a compact subset of that is uncountable, nowhere dense, and has Lebesgue measure zero. It is homeomorphic to with the product topology.
5.9 Worked Example: Compactness of a Function Space
Section titled “5.9 Worked Example: Compactness of a Function Space”Problem. Show that the set of continuous functions is not compact in the sup-norm topology.
Solution
Consider the sequence on . Each satisfies , so . The pointwise limit is for and , which is discontinuous. No subsequence of converges uniformly to a continuous function, so is not sequentially compact. Since we are in a metric space, is not compact.
This illustrates that the closed unit ball in an infinite-dimensional normed space is never compact (Riesz’s lemma). Compactness of the unit ball characterises finite-dimensional spaces.
5.10 Paracompactness
Section titled “5.10 Paracompactness”Definition. A space is paracompact if every open cover has a locally finite open refinement. Every compact space is paracompact, and every metric space is paracompact. Paracompactness is essential for the existence of partitions of unity, which enable the construction of global objects from local data.
5.11 Finite Intersection Property
Section titled “5.11 Finite Intersection Property”Definition. A collection of subsets of has the finite intersection property (FIP) if every finite subcollection has nonempty intersection.
Theorem 5.7 (FIP Characterisation). is compact iff for every collection of closed subsets of with the FIP, .
This characterisation is often more convenient for proofs. For example, it immediately shows that the continuous image of a compact space is compact, and that a compact Hausdorff space is normal.
5.12 Worked Example: The One-Point Compactification
Section titled “5.12 Worked Example: The One-Point Compactification”Problem. Show that is homeomorphic to (the sphere minus a point), and describe the one-point compactification of .
Solution
Stereographic projection maps (sphere minus north pole) to . For , the map is:
with inverse .
The one-point compactification of a locally compact Hausdorff space adds a single point with neighbourhoods defined as complements of compact sets in . For , the one-point compactification is : .
5.13 Worked Example: Non-Compactness of the Unit Ball in
Section titled “5.13 Worked Example: Non-Compactness of the Unit Ball in C([0,1])C([0,1])C([0,1])”Problem. Prove that the closed unit ball is not compact using the finite intersection property.
Solution
Define closed sets . Each is nonempty (contains the zero function). Any finite intersection is nonempty (contains at least continuous functions vanishing at specified points). So has the FIP.
But . This contains only functions vanishing on , which by continuity must also vanish at . The only function in with this property is , which is indeed in the intersection. Wait — this seems to suggest compactness! The subtlety is that in an infinite-dimensional space, closed bounded sets need not be compact. By Riesz’s lemma, the unit ball is not compact. The FIP argument fails because the closed sets must be checked for FIP in the subspace topology of , and in an infinite-dimensional space, closed bounded sets need not be compact.