Metric spaces - Clopen property

In summary, every metric space has at least two clopen subsets: the empty set and the entire space itself. This is because the entire space is open and closed, and the empty set is both open and closed by default. This is true for both connected and discrete metric spaces. This is also true for arbitrary topological spaces, as defined by axioms. In an induced metric space, the ε-balls are defined as the intersection of the neighborhood of a point with the larger space.
  • #1
IniquiTrance
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Why is it that a metric space (X,d) always has two clopen subsets; namely {0}, and X itself?

Rudin calls it trivial, and so do about 15 other resources I've perused.

What confuses me is that if we define some metric space to be the circle in ℝ2: x2+y2 ≤ r2, then points on the boundary of the circle don't have neighborhoods contained entirely in X, since for any radius > 0, the neighborhood will extend out of X.

Thanks!
 
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  • #2
{0} is the set that contains 0. The empty set can be written as {}, but is usually written as ∅.

It's not hard to prove that ∅ and X are both open and closed. If that's what you need help with, then please post the definitions of "open" and "closed" that you would like to use.

You may have misunderstood something about neighborhoods or open balls. They never extend out of the metric space. Consider e.g. the metric space [0,1] with d defined by d(x,y)=|x-y|. Denote the open ball around x with radius r by B(x,r). Then, for example,
[tex]
\begin{align}
B(1/2,1) &= \{x\in[0,1]:|x-1/2|<1\}=[0,1]\\
B(1/4,1/2) &= \{x\in[0,1]:|x-1/4|<1/2\}=[0,3/4)
\end{align}
[/tex]
 
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  • #3
Actually if you meant exactly two, I think the OP's statement is true of _connected_ metric (or otherwise) spaces. A discrete metric space has every single subset as a clopen set. If you meant _at least_ two, then I think the total space is clearly both open --every point in the set has a basis element containing it, and closed, since every convergent sequence in the space converges to a point in the space. The empty set is also both closed and open by default, i.e., if you start with a false premise, anything else that follows is true: every point in the empty set has a neighborhood..., and the complement of the empty set is the whole space, which is open.
 
  • #4
the reason why it is trivial is this:

every point in a metric space is always contained in some ε-ball (primitive open set, which depends on the metric, d). the union of all these open sets is the entire space, so the entire space is open.

since the complement of the entire space is X-X = Ø, and the entire space is open, Ø is closed.

but Ø is by definition open, since it has no members, so any condition which starts "for every member x of U,..." is automatically true of Ø (including the statement, every element of U is contained in some ε-ball). since Ø is open, it's complement, X, must be closed.

one can also show that no points in X are near the empty set (or equivalently, Ø has no limit points), so the closure of Ø, cl(Ø) = Ø.

but every point in X is IN X, thus near X, so cl(X) = X (equivalently, the closure of X in X contains X, and is a subset of X, so IS X...an extreme case would be where X was all "isolated points" so has NO limit points). hence Ø and X are both closed, and being complements of each other, both open as well.

(an interesting "bizzare" example in the real plane is the open disk...this has a completely different set of limit points as its own space than it does as a subset of R2, because the "boundary points" no longer have any neighborhoods in the open disk, so as a metric space in its own right, has only interior limit points, which are already in the open disk)

if one uses an axiomatic definition of a topology, defined on 2X (the power set of X), then Ø and X are both automatically open, by definition (and thus closed, as well). so this statement isn't just true for metric spaces, but for arbitrary topological ones, as well.

for a metric space which uses an induced metric from some larger space, such as the disk D2, the ε-balls are defined to be Nε(x) ∩ D2, that is the relative metric topology of R2, restricted to D2.

for example, the set of all points in the unit interval [0,1] "less than 1/2 away from 3/4" does not include the real number 9/8, even though it is less than the specified distance away in the metric d(x,y) = |y-x| for R (because...it's not in [0,1]).
 
  • #5


The clopen property in metric spaces states that a set is both open and closed. In other words, it contains all of its limit points and does not have any limit points outside of the set. In the case of metric spaces, the two clopen subsets are {0} and X itself.

The reason for this is because in a metric space, the set containing only one point, such as {0}, will always be open since it does not contain any of its limit points (since it only has one point). Similarly, X itself is always both open and closed since it contains all of its limit points and does not have any limit points outside of itself.

In the example of the circle in ℝ2, while the points on the boundary may not have neighborhoods contained entirely in X, they are still considered open sets since they do not contain any of their limit points. This is because in a metric space, the limit points are defined as points that are arbitrarily close to the set, not necessarily within the set itself.

Therefore, even though the points on the boundary of the circle may not have neighborhoods contained entirely in X, they are still considered open sets and not clopen subsets. This is why the only two clopen subsets in a metric space are {0} and X itself, as they are the only sets that fulfill both the open and closed properties.
 

1. What is the definition of a metric space?

A metric space is a set of elements with a distance function defined between them. The distance function is required to satisfy certain properties, such as being symmetric and satisfying the triangle inequality. Examples of metric spaces include the set of real numbers with the standard distance function, and the set of points on a plane with the Euclidean distance function.

2. What does it mean for a subset of a metric space to have the clopen property?

A subset of a metric space is said to have the clopen property if it is both closed and open. This means that the subset contains all of its limit points and is also equal to the union of its boundary points and interior points. In other words, the subset is both closed under the distance function and contains all of its boundary points.

3. How is the clopen property related to connectedness in a metric space?

The clopen property is closely related to the concept of connectedness in a metric space. A metric space is said to be connected if it cannot be partitioned into two non-empty subsets that are also open. This means that there are no subsets in the space that are both open and closed, which is equivalent to saying that all subsets in the space have the clopen property.

4. Can a metric space have subsets with the clopen property that are not connected?

Yes, it is possible for a metric space to have subsets with the clopen property that are not connected. This is because the clopen property only describes the behavior of a subset with respect to its limit and boundary points, and does not necessarily reflect the overall connectedness of the space. For example, a metric space may have a subset that is both open and closed, but also has disconnected components within it.

5. How is the clopen property useful in topology and analysis?

The clopen property is an important concept in topology and analysis because it allows us to classify and understand the behavior of subsets in a metric space. It is often used in proofs and constructions of topological spaces, and can help us identify important properties of a space, such as connectedness and compactness. In analysis, the clopen property can be used to show that certain subsets of a metric space are open or closed, which is useful in studying the convergence of sequences and series.

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