Open sets

Open sets are the most important aspect of topology, so much so that every further topological property can be defined entirely from open sets.

Definition

Definition

A set S \subseteq \mathbb{R} is open if for every point p \in S, there exists some \varepsilon > 0 such that

(p - \varepsilon,p+\varepsilon) \subseteq S.

To illustrate the definition, take the following examples.

Let A = (0,1) and B = [0,1].

For any point p \in A, we can always find some \varepsilon that gives us an interval entirely contained in A. To see how, choose \varepsilon as follows

\varepsilon = \min\left(\frac{|p-0|}{2},\frac{|p-1|}{2}\right).

We choose \varepsilon to be half of the distance from p to 0, or p to 1, whichever is lesser. Then p - \varepsilon > 0, and p + \varepsilon < 1. Thus (p-\varepsilon,p+\varepsilon) \subset A, and A is open.

However, B is not open. Let p = 1. Then every interval around p will necessarily be outside the set B, as 1 + \varepsilon > 1 for all \varepsilon > 0.

Now let’s use the definition to prove some important sets are open!

Theorem 1.1

The set of real numbers \mathbb{R} is open.

Let p be any element of \mathbb{R}, and let \varepsilon > 0. The interval given by (p - \varepsilon,p+\varepsilon) is a subset of \mathbb{R} by definition, so \mathbb{R} is open.

[Link to definition]

Theorem 1.2

The empty set \varnothing is open.

Since the empty set has no elements, this statement is vacously true.

[Link to vacous truth]

Theorem 1.3

Let a,b \in \mathbb{R}. Then (a,b) is open.

Let p \in (a,b), and choose

\varepsilon = \min\left(\frac{|p-a|}{2},\frac{|p-b|}{2}\right).

This sets \varepsilon as the minimum distance from p to our endpoints, and ensures p - \varepsilon > a and p + \varepsilon < b. Then our interval (p - \varepsilon,p+\varepsilon) is a subset of (a,b), and thus (a,b) is open.

Unions and Intersections of Open Sets

There are important results with unions and intersections of open sets. The most important properties being

  • Any arbitrary union of open sets is open

  • Any finite intersection of open sets is open.

These properties are so important they are chosen as axioms for topological spaces.

Theorem 2.1

Let \{A_i \subset \mathbb{R} \mid i \in I\} be open sets for any arbitrary index set I. Then \bigcup_{i \in I} A_i is open.

Let \mathcal{A} = \bigcup_{i \in I} A_i, and p \in \mathcal{A}. Since \mathcal{A} is a union, there exists some i \in I such that p \in A_i. Since A_i is open, there exists a neighborhood around p completely contained in A_i. Then (p-\varepsilon,p+\varepsilon) \subset A_i \subset \mathcal{A}, and thus \mathcal{A} is open.

Theorem 2.2

Let \{A_i \subset \mathbb{R} \mid i \in I\} be open sets for a finite index set I. Then \bigcap_{i \in I} A_i is open.

Let \mathcal{A} = \bigcap_{i \in I} A_i. If p \in \mathcal{A}, then p is in A_i for all i \in I. Because A_i is open for all i \in I, there exists an epsilon neighborhood around p in each A_i. Choose

\varepsilon = \min\{\varepsilon_1,\dots,\varepsilon_k\}

where \varepsilon_i is the epsilon radius around p contained in A_i. Since \varepsilon is the minimum distance, we have

(p-\varepsilon,p+\varepsilon) \subset \mathcal{A}.

And \mathcal{A} is open.

You may wonder why we can take a arbitrary union of open sets and get an open set, but only take a finite intersection of open sets.

Example

To see an example of why an infinite intersection of open sets may not be open, let

A_n = \left(-\frac{1}{n},\frac{1}{n}\right)

for all n \in \mathbb{N}. Then each A_n is clearly open by Theorem 1.3, but the intersection

\bigcap^\infty_{n=1}A_n = \{0\}

is a single element, and not open.