Compactness
Let be a topological space and An open cover of is a collection of open sets whose union contains A subcover of an open cover of is a subcollection of the open cover whose union still contains
Let be a topological space and The set is compact if and only if every open cover of has a finite subcover. The space is a compact space if and only if is compact as a subset of itself. Compactness of is a property of the subspace alone, so it does not depend on the space in which sits.
Compact sets have the following properties:
- finite sets are compact;
- is not compact, since the open cover has no finite subcover;
- is not compact, since has no finite subcover;
- a closed bounded interval is compact;
- a closed subset of a compact set is compact;
- a compact subset of a Hausdorff space is closed;
- a finite union of compact sets is compact;
- the product of finitely many compact spaces is compact;
- the continuous image of a compact set is compact: if is continuous and is compact then is compact.
A continuous bijection from a compact space onto a Hausdorff space is a homeomorphism, since it maps closed sets, which are compact, to compact sets, which are closed.
Let be a metric space and The set is sequentially compact if and only if every sequence in has a subsequence that converges to a point of
Let be a metric space and The set is totally bounded if and only if for every it is covered by finitely many open balls of radius A totally bounded set is bounded, and in the converse holds.
Let be a metric space and The following are equivalent:
- is compact;
- is sequentially compact;
- is complete and totally bounded.
Let The Heine–Borel theorem states that is compact if and only if it is closed and bounded.
Let be a bounded sequence in The Bolzano–Weierstrass theorem states that has a convergent subsequence. The Bolzano–Weierstrass theorem is the sequential compactness of closed balls in
Neither the Heine–Borel theorem nor the Bolzano–Weierstrass theorem holds in every metric space: the closed unit ball of an infinite-dimensional normed vector space is closed and bounded but not compact, and the discrete metric makes every infinite set closed, bounded and non-compact.
Let be a compact metric space with an open cover. The Lebesgue number lemma states that there exists such that every subset of with diameter less than lies inside some set of the cover. Such a is a Lebesgue number of the cover.
Let be a non-empty compact space and be continuous. The image is a compact subset of so it is closed and bounded and contains its supremum and infimum. Hence is bounded and attains its maximum and minimum.
This extends the extreme value theorem from closed bounded intervals to compact sets. The Heine–Cantor theorem extends in the same way: a continuous function from a compact metric space to a metric space is uniformly continuous.
Let be a metric space, be non-empty and The distance from to is the infimum of the distances from to points of
If is compact then the distance from to is attained at some point of and two disjoint compact sets are at positive distance from one another.