Week 5 Compactness in metric and Euclidean spaces. Connectedness
Version 2024/11/11 Week 5 in PDF All notes in PDF To other weeks
Metric spaces form a subclass of Hausdorff topological spaces. We can obtain further results about compact sets in this subclass. Recall the following from MATH21111 Metric spaces:
Definition: bounded set.
A subset
We reproduce a result from MATH21111, but with a new proof which refers to the Hausdorff property:
-
Proof. Let
be a compact subset of a metric space The metric topology on is Hausdorff, Proposition 3.2, and compacts are closed in Hausdorff spaces, Proposition 4.4, so is closed inTo show that
is bounded, fix any point of and consider the collection of open balls. Clearly, and so covers By Criterion of compactness 4.1, there exists a finite subcollection of which still covers that is,where
We have shown that is a subset of an open ball, that is, is bounded. □
Remark: it is not true that every closed and bounded subset of a metric space is compact. An easy counterexample is given by
A more conceptual example of a non-compact closed and bounded set in a metric space is the closed unit ball of an infinite-dimensional Hilbert, or Banach, space. This will be discussed in the second part of MATH31010, Functional Analysis.
The next result gives us a highly non-trivial example of a compact set in a Euclidean space.
Theorem 5.2: the Heine-Borel Lemma.
The closed bounded interval
-
Proof. There are several standard proofs of this result; we will present the proof by bisection, or halving the interval. Alternative proofs can be found in the literature.
Assume for contradiction that there exists a collection
of open subsets of such that is covered by yet is not covered by any finite subcollection of Then at least one of the two halves, the closed subintervals andof
has no finite subcover in indeed, if were covered by finite and by finite then the whole of would be covered by which is a finite subcollection of We therefore let where anddenote one of the halves of
which is not covered by any finite subcollection of We can now apply the same argument to the closed bounded interval and obtain where andone of the halves of
which is not covered by any finite subcollection of Continuing this process, we will construct, for all the interval where andwhich is not covered by any finite subcollection of
Observe that the sequence
is increasing and bounded, as all its terms lie in By a result from Year 1 Foundations of Mathematics course, such a sequence converges to a limit and moreover for all Note also that and for allThe point
of must be covered by some set Since is open, for some Take such that Then and so Similarly, see Figure 5.1 for illustration.Figure 5.1: the contradiction arrived at in the proof of the Heine-Borel Lemma
Thus, the interval
has a finite subcover in — in fact, a cover by just one set, — contradicting the construction of This contradiction proves the Theorem. □
Remark: it follows from the Heine-Borel Lemma that in every Euclidean space
We will, however, not extend the subdivision argument to
Connectedness
So far, we have considered two topological properties: the Hausdorff property and compactness. The third topological property, and the final one that we will study in this course, is connectedness.
Definition: connected.
A topological space
open in
That is, a disconnected space is a disjoint union of two non-empty open sets.
The space
Let us construct two disconnected spaces. We will obtain them as subspaces of the Euclidean line
Example.
Show that the subspace
Solution: let
Example.
Show that the subspace
Solution. Consider the following non-empty disjoint subsets of
We have written
Remark. By showing
Claim.
The subspace
One can say that the discrete space
Proposition 5.3: conditions equivalent to connectedness.
The following are equivalent for a topological space
-
(i)
is connected. -
(ii) For all continuous functions
the image is an interval. -
(iii) Every continuous function
is constant.
Here
Before proving the Proposition, we formally define “interval”.
Definition: interval.
An interval is a subset
Thus, together with any two points, an interval contains all intermediate points.
It is not difficult to establish the following classification of intervals:
Remark: the empty subset
-
Sketch of proof of the Claim (not given in class). It is clear that every set
listed in the claim, is an interval. Conversely, assume that is an interval in and let If both and are real numbers and not and so is non-empty and bounded, one uses the definition of the “least upper bound” ( ) and the “greatest lower bound” ( ) to show that which leaves four possibilities for The remaining cases when one or both of is infinite are handled similarly. Details are left to the student. □
-
Proof of Proposition 5.3. Recall for use in the proof that the preimage of intersection is the intersection of preimages; same for the union and the complement.
(i)
(ii): to prove the contrapositive, we must assume that there exists a continuous function such that is not an interval. This means that there are and a real number such that and ConsiderThe set
is open in because is the preimage of the set open in under a continuous function Furthermore, is not empty, as Similarly, is open in and not empty; yet isso
and are disjoint. Finally,yet
by assumption, so and The construction of shows that is disconnected by definition. We have shown not(ii) not(i).(ii)
(iii): let be continuous. As in an earlier example, we can view the discrete set as a subspace of the Euclidean line The inclusion map is continuous by Proposition 2.7, and so we have a continuous map By (ii), the image of this map must be an interval in yet this image is a subset of and such an interval can be at most one point. Thus, must be constant, proving (iii).Figure 5.2: defining
where is disconnected(iii)
(i): to prove the contrapositive, assume that is disconnected, so that where are disjoint non-empty open sets. This allows us to define the following function (as illustrated in Figure 5.2):We check that
is continuous by calculating the preimage of every open subset of There are exactly open subsets of the discrete space and we have and In each case, the preimage is an open subset of so is continuous by definition. We have constructed a non-constant continuous function proving not(i) not(iii). □
Here is an example where we use the Proposition 5.3 to establish that a space is connected.
Example: interval is connected.
Show that an interval
Solution: we use condition (ii) from the Proposition. Let
References for the week 5 notes
The bisection proof of the Heine-Borel Lemma that we present in Theorem 5.2, is given in [Armstrong, Theorem (3.3)] and [Sutherland, Exercise 13.15]. An alternative “creeping-along” proof can be found in [Armstrong, Theorem (3.3)] and [Sutherland, Exercise 13.9].
Our definition of “connected” is identical to [Willard, Definition 26.1]. We thus deviate slightly from [Sutherland] which uses condition (iii) of our Proposition 5.3 as a definition [Sutherland, Definition 12.1], and turns our definition into a theorem, [Sutherland, Proposition 12.3]. The way [Armstrong] defines “connected”, though equivalent to ours, requires the notion of closure of a set; but in our course closure comes after connectedness.
The definition of interval is elementary and is taken from [Smith, Definition 1.11]. The claim about classification of intervals is made in [Sutherland, Chapter 2: Notation and terminology].
Version 2024/11/11 Week 5 in PDF All notes in PDF To other weeks