2.9Metric Topology
Chapter (PDF)A metric on some set is a function satisfying the following properties.
Nonnegativity. for every .
Symmetry. for every .
Triangle Inequality. for every .
We say is the distance between two points . For some and , we define an -ball about to be the set of all points a distance less than away from . That is,
A topological space is said to be metrizable if there exists some metric that induces the topology on .
Suppose is a metric space. Then the set of all -balls about every point in , given by
forms a basis for the metric topology on .
We verify this forms a basis for .
Covering. For any , note is in the basis, and so as desired.
Local Refinement. Let be arbitrary elements from the basis, and let . Thus there must be some such that and . Then note , which is also a basic element, completing the proof.
Given a set , we may define a metric
It is obvious is a metric. But note that the basis for the metric topology contains all singletons, since , so the metric topology is discrete.
Define the standard metric on . Then note , where . Similarly, all . Thus the metric topology coincides with the standard order topology on .
For some metric space , a set is said to be bounded if there is some such that for every pair . The diameter of a bounded subset is defined to be
which exists since is bounded above.
Topology is concerned with the idea of metrizability, the abstract notion that a metric may be endowed on a set to form a topology. The behavior and choice of a metric, however, is a strictly analytical topic. Thus, ideas such as “boundedness” that are dependent on choice of metric are not particularly topological. In fact, the next theorem shows that a different metric on induces the same topology as the standard metric, making them indistinguishable topologically.
Let be a metric space. We define the standard bounded metric by
Then is a metric that induces the same metric topology as .
The proof that is a metric is trivial. Let be the topologies generated by and respectively. It is obvious that , so we prove that . Let . By definition of , for each , we can choose a basis ball about contained in ; if its radius is or greater, we can simply shrink it. So let be a ball about such that its radius is less than and . Since its radius is less than , the ball is identical under and , meaning it is a basic open set of . Then , a union of basic open sets of , completing the proof.
Given , we define and define the Euclidean metric
the standard notion of distance between two points in . We can also define the square metric by
These are intuitive generalizations from the standard metric on . Indeed, the Euclidean and sqaure metric collapse to the standard metric in . Otherwise, consider basis elements for the Euclidean metric to be balls, whereas basis elements for the square metric are boxes.
Let be a set with two metrics , and let be the topologies induced by these metrics respectively. Then if and only if, for each and any , there is some such that .
: Suppose . Then, for any and , we have that . Since , . Thus, for , by definition of the basis, there is some such that .
: Let —we seek to show . For each , note for some . By hypothesis, there is some such that is such that . Then .
The topologies on induced by the Euclidean metric and the square metric are identical to the product topology on .
We begin by showing the Euclidean and square metrics generate the same topologies on . Recalling that basis elements for the Euclidean metric (resp. square metric) topology take the form of balls (resp. congruent boxes), we seek to show that a box can be contained in a sphere and vice versa. For starters, fix the points , and let denote the vector whose tip is located at and tail is located at . The magnitude of , representing the Euclidean distance , is bounded below by its largest single coordinate projection , meaning the box spanned by easily fits within a sphere of radius . Conversely, if we bound inside an -dimensional cube centered at whose faces are at a distance of , the Pythagorean theorem guarantees its magnitude cannot exceed the distance to the cube's furthest corner, yielding the upper bound . The statement, which can also be proven with basic algebra, is that
In any case, this implies for any , and same for . Thus the topologies are finer than eachother, making them equal.
It suffices to prove that the square metric generates the product topology. Let be the topology generated by the square metric, and let be the product topology on . First, let . For each , there exists some such that . But now note there is some box centered about whose sidelengths are, at most, —this is spanned by basis elements of the product topology, and so . Thus .
Now suppose . For each , there is some centered about such that . With , we note , completing the proof.
Now we seek to extend these metrices to an infinite product of . The natural generalizations on a set like are as follows:
But note and may not be well-defined due to convergence and boundedness issues. It is, however, possible to generalize a metric on , and on for some general indexing set . Recall the standard bounded metric —we may generalize it to for some as such:
We refer to this as the uniform metric on , and it fittingly generates the uniform topology. This has implications for the idea of uniform convergence, which we will discuss soon.
For some indexing set , the uniform topology on is finer than the product topology and coarser than the box topology. That is, .
Let . Let be an element of the product topology's basis about , where are the indices for which .
Let . We seek to show there is some such that . For each , choose such that . Then let .
On the other hand, let for some . For each , let , then note .
Let be a map between two metric spaces and . Then is continuous if and only if, for any and , there is some such that
: Suppose is continuous. Fix and , and let . Since is open, it follows that is open. Since is the union of basic, open sets in , there is some such that . Then, for any , it follows that .
: Suppose that, for any and , there is some such that
Let be open in —we show is open in . Let . Let be such that . By hypothesis, there is some such that , where . Then , which is open.
Let be a topological space, and let . If there is a sequence such that , then . Conversely, if is metrizable and , there is some sequence of points such that .
: Suppose is such that . Then, for any open neighborhood of , there is some such that for every . Thus and so .
: Suppose has some metric . Fix , and fix some arbitrary open neighborhood of . By definition of the closure, . Since is open in a metric space, there is some such that and . Then there is some such that for every . Let for some and all , and otherwise let be some arbitrary element of , which is guaranteed to exist. Then and .
Let . If is continuous, then for every in , it follows that . Conversely, if is metrizable, we have that if every in is such that , then is continuous.
: Suppose is continuous. Let be a sequence such that . Let be an open neighborhood of . Then note is open by 's continuity, and . Thus there is some such that for every . Thus for every , meaning .
: Suppose has some metric . Suppose that, for every such that , it follows that . Let —we will show is continuous by proving . For starters, suppose . Since is metrizable, inherits a metric subspace topology, and by the sequence lemma there is some such that . By hypothesis, we have , meaning . Thus , completing the proof.
Let be a sequence of functions that map the set into the metric space . We say converges uniformly if, for any , there is some such that
for every and every .
This mode of convergence is subtly distinct from traditional, pointwise convergence. Pointwise convergence only mandates that for every for large enough , but this choice of “large enough” can vary based on choice of . If our choice of large enough cannot be made independent from our choice of , then the convergence is not uniform. Pointwise convergence is quite weak. We will soon see that if with each continuous, is not necessarily continuous unless we impose extra hypotheses, which is where the uniformity of the convergence comes in.
Suppose is a sequence of continuous functions that map the set into the metric space . If is uniform, then is continuous.
Let and . We need to find such that
Since is uniform, there is some such that for every . Then there is some such that
by continuity of each . Then, if , we have that
completing the proof.
2.9.1Exercises#
Let be a set, and let be a sequence of functions. Let be the uniform metric on the space , the set of all functions from to . Show that uniformly if and only if as elements of the metric space .
: Suppose uniformly. To show in , we choose some arbitrary open neighborhood of and show there is some such that for every . Note there is some such that . By being uniform, there is some such that for every . Then
with the second equality coming from the aforementioned fact. Again, by uniformity of , there is some such that for every . Thus for every , meaning as elements of as desired.
: Suppose as elements of . Fix . We seek to show there is some such that
for every and . Let . Then let be an open set in . There is some such that for each by hypothesis. For any , note that . Thus for every , and so for every and , meaning uniformly.