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Topological Spaces

The Rules of the Game

Topology is often called "rubber-sheet geometry" because it studies properties of shapes that stay the same even when you stretch, bend, or twist them. To do this, we need a way to talk about nearness and connection without relying on fixed distances or angles. The fundamental structure that lets us do this is called a topological space.

A topological space is simply a set of points, which we'll call XX, paired with a collection of its subsets, which we'll call τ\tau (the Greek letter tau). The subsets in τ\tau are special; we call them open sets. For τ\tau to be a valid topology on XX, it must follow three simple rules.

A topology τ on a set X is a collection of subsets of X such that:1.τ and Xτ2.The union of any number of sets in τ is also in τ3.The intersection of any two sets in τ is also in τ\text{A topology } \tau \text{ on a set } X \text{ is a collection of subsets of } X \text{ such that:} \\ \begin{aligned} \\ &1. \quad \emptyset \in \tau \text{ and } X \in \tau \\ &2. \quad \text{The union of any number of sets in } \tau \text{ is also in } \tau \\ &3. \quad \text{The intersection of any two sets in } \tau \text{ is also in } \tau \\ \end{aligned}

These rules provide a flexible way to define the "structure" of a space. The collection of open sets, τ\tau, tells us which points are "near" each other without using a ruler.

Topologies in Action

This definition might seem abstract, so let's look at a few examples on a simple set, X={a,b,c}X = \{a, b, c\}. Different collections of subsets can form different topologies on this same set.

Topology TypeThe Open Sets (τ\tau)Description
Trivial{,{a,b,c}}\{\emptyset, \{a, b, c\}\}The simplest possible topology. It has the minimum number of open sets required by the rules. It doesn't distinguish between any of the points.
Discrete{,{a},{b},{c},{a,b},{a,c},{b,c},{a,b,c}}\{\emptyset, \{a\}, \{b\}, \{c\}, \{a, b\}, \{a, c\}, \{b, c\}, \{a, b, c\}\}The most "detailed" topology. Every possible subset is declared open. Here, every point is isolated in its own open set.
A Specific Topology{,{a},{a,b},{a,b,c}}\{\emptyset, \{a\}, \{a, b\}, \{a, b, c\}\}This is just one of many other valid topologies. You can check for yourself that it satisfies the three rules.

The trivial and discrete topologies represent two extremes. The trivial topology is the "coarsest," lumping everything together. The discrete topology is the "finest," separating everything out. Most interesting topologies lie somewhere in between.

Another very important source of topologies comes from spaces where we can measure distance.

Metric Space

noun

A set where a distance function (or metric) is defined between any two points. For any points x,y,zx, y, z, this distance d(x,y)d(x,y) must be non-negative, zero only if x=yx=y, symmetric (d(x,y)=d(y,x)d(x,y)=d(y,x)), and satisfy the triangle inequality (d(x,z)d(x,y)+d(y,z)d(x,z) \le d(x,y) + d(y,z)).

Any metric space automatically gives us a topology. The open sets are formed by taking unions of "open balls." An open ball centered at a point pp with radius rr is the set of all points whose distance from pp is less than rr. This is the standard topology we intuitively use when thinking about 2D or 3D space.

Open and Closed Sets

The open sets are the stars of the show, but their counterparts, closed sets, are just as important. The definition is refreshingly direct.

A set is closed if its complement is open.

The complement of a set AA within a larger set XX is everything in XX that is not in AA. Let's go back to our earlier example where X={a,b,c}X = \{a, b, c\} and the topology was τ={,{a},{a,b},{a,b,c}}\tau = \{\emptyset, \{a\}, \{a, b\}, \{a, b, c\}\}

  • The set {a}\{a\} is open. Its complement is {b,c}\{b, c\}, so {b,c}\{b, c\} is closed.
  • The set {a,b}\{a, b\} is open. Its complement is {c}\{c\}, so {c}\{c\} is closed.
  • The empty set \emptyset is open. Its complement is X={a,b,c}X=\{a, b, c\}, so XX is closed.
  • The whole set XX is open. Its complement is \emptyset, so \emptyset is closed.

Building a Topology

Listing out every single open set can be tedious, especially for infinite sets. Often, it's easier to define a smaller collection of sets that can "generate" the entire topology. This is called a basis.

Basis

noun

A collection of subsets B\mathcal{B} of a set XX is a basis for a topology if two conditions are met: First, every point in XX is in at least one set in B\mathcal{B}. Second, for any two basis sets B1,B2B_1, B_2 and any point xx in their intersection, there is a third basis set B3B_3 containing xx that is fully inside that intersection.

Once you have a basis, the full topology is defined simply: an open set is any set that can be written as a union of sets from the basis. Think of the basis sets as fundamental building blocks. You can create all the open sets you need just by combining these blocks.

For example, in the standard topology on the 2D plane, the collection of all open disks (the inside of circles) forms a basis. Any open set, no matter how weirdly shaped, can be described as a union of these simple open disks.

By choosing different bases, we can generate different topologies on the same underlying set of points, giving it entirely different geometric properties. This simple foundation of a set and its open subsets is the starting point for the entire field of topology.

Quiz Questions 1/6

Topology is often called 'rubber-sheet geometry' because it primarily studies properties of shapes that...

Quiz Questions 2/6

In a topological space, what is a 'closed set'?