Are Singleton Sets in ℝ Both Open and Closed?
At a glance
- 1. Show it is closed
The complement (−∞, a) ∪ (a, ∞) is a union of open intervals.
- 2. Show it is not open
Any interval (a − ε, a + ε) contains a + ε/2, which is not a.
- 3. Use connectedness
ℝ is connected, so its only clopen sets are ∅ and ℝ.
Throughout, has its usual topology: a set is open if around every point of there is an interval contained in .
is closed
A set is closed when its complement is open. The complement of is
Each piece is an open interval: if , the interval with stays below , and the case is symmetric. A union of open sets is open, so the complement is open and is closed.
Another way to see it: contains all of its limit points, because it has none. No other point can be a limit of points of , since the only sequence available is the constant one.
is not open
For to be open we would need some with . But that interval contains , which is not . No works, so is not open.
Why no proper non-empty subset of ℝ is both
A set that is both open and closed is called clopen. In the only clopen sets are and . That is exactly the statement that is connected.
Sketch of the proof: suppose is clopen with . Pick and , say with . Let .
- Since is closed, .
- Since is open and , a small interval around lies in . If , that gives points of greater than inside , contradicting the definition of the supremum. If , then , which contradicts the choice of .
Either way we reach a contradiction. So in particular a singleton cannot be clopen.
Compare with other spaces
The answer depends on the topology, not just on the set:
| Space | open? | closed? |
|---|---|---|
| , usual topology | No | Yes |
| as a subspace of | Yes | Yes |
| Any finite metric space | Yes | Yes |
| with the discrete topology | Yes | Yes |
In , , so it is open in the subspace topology even though it isn’t open in .
Common mistakes
- Treating open and closed as opposites. Most subsets of , such as or , are neither.
- Forgetting which space you are in. “Open” always means open relative to a given space.
References
- Abbott, S. (2015). Understanding Analysis (2nd ed.), Chapter 3. Springer.
- Rudin, W. (1976). Principles of Mathematical Analysis (3rd ed.), Chapter 2. McGraw-Hill.
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