ArticleslgStudy

mathematics

Order topology

Order topology is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Order topology rather than just read about it. In short: In mathematics, an order topology is a specific topology that can be defined on any totally ordered set. It is a natural generalization of the topology of the real numbers to arbitrary totally ordered sets.

Key takeaways

  • Order topology belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Order topology to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Order topology from memory before moving on to harder problems.

Reference excerpt

In mathematics, an order topology is a specific topology that can be defined on any totally ordered set. It is a natural generalization of the topology of the real numbers to arbitrary totally ordered sets. If X is a totally ordered set, the order topology on X is generated by the subbase of "open rays"

{ x ∣ a < x } {\displaystyle \{x\mid a<x\}}

{ x ∣ x < b } {\displaystyle \{x\mid x<b\}}

for all a, b in X. Provided X has at least two elements, this is equivalent to saying that the open intervals

( a , b ) = { x ∣ a < x < b } {\displaystyle (a,b)=\{x\mid a<x<b\}}

together with the above rays form a base for the order topology. The open sets in X are the sets that are a union of (possibly infinitely many) such open intervals and rays. A topological space X is called orderable or linearly orderable if there exists a total order on its elements such that the order topology induced by that order and the given topology on X coincide. The order topology makes X into a completely normal Hausdorff space. The standard topologies on R, Q, Z, and N are the order topologies.

Induced order topology If Y is a subset of X, X a totally ordered set, then Y inherits a total order from X. The set Y therefore has an order topology, the induced order topology. As a subset of X, Y also has a subspace topology. The subspace topology is always at least as fine as the induced order topology, but they are not in general the same. For example, consider the subset Y = {−1} ∪ {1/n}n∈N of the rationals. Under the subspace topology, the singleton set {−1} is open in Y, but under the induced order topology, any open set containing −1 must contain all but finitely many members of the space.

Example of a subspace of a linearly ordered space whose topology is not an order topology Though the subspace topology of Y = {−1} ∪ {1/n}n∈N in the section above is shown not to be generated by the induced order on Y, it is nonetheless an order topology on Y; indeed, in the subspace topology every point is isolated (i.e., singleton {y} is open in Y for every y in Y), so the subspace topology is the discrete topology on Y (the topology in which every subset of Y is open), and the discrete topology on any set is an order topology. To define a total order on Y that generates the discrete topology on Y, simply modify the induced order on Y by defining −1 to be the greatest element of Y and otherwise keeping the same order for the other points, so that in this new order (call it say <1) we have 1/n <1 −1 for all n ∈ N. Then, in the order topology on Y generated by <1, every point of Y is isolated in Y. We wish to define here a subset Z of a linearly ordered topological space X such that no total order on Z generates the subspace topology on Z, so that the subspace topology will not be an order topology even though it is the subspace topology of a space whose topology is an order topology. Let Z = { − 1 } ∪ ( 0 , 1 ) {\displaystyle Z=\{-1\}\cup (0,1)} in the real line. The same argument as before shows that the subspace topology on Z is not equal to the induced order topology on Z, but one can show that the subspace topology on Z cannot be equal to any order topology on Z. An argument follows. Suppose by way of contradiction that there is some strict total order < on Z such that the order topology generated by < is equal to the subspace topology on Z (note that we are not assuming that < is the induced order on Z, but rather an arbitrarily given total order on Z that generates the subspace topology). Let M = Z \ {−1} = (0,1), then M is connected, so M is dense on itself and has no gaps, in regards to <. If −1 is not the smallest or the largest element of Z, then ( − ∞ , − 1 ) {\displaystyle (-\infty ,-1)} and ( − 1 , ∞ ) {\displaystyle (-1,\infty )} separate M, a contradiction. Assume without loss of generality that −1 is the smallest element of Z. Since {−1} is open in Z, there is some point p in M such that the interval (−1,p) is empty, so p is the minimum of M. Then M \ {p} = (0,p) ∪ (p,1) is not connected with respect to the subspace topology inherited from R. On the other hand, the subspace topology of M \ {p} inherited from the order topology of Z coincides with the order topology of M \ {p} induced by <, which is connected since there are no gaps in M \ {p} and it is dense. This is a contradiction.

Left and right order topologies Several variants of the order topology can be given:

The right order topology on X is the topology having as a base all intervals of the form ( a , ∞ ) = { x ∈ X ∣ x > a } {\displaystyle (a,\infty )=\{x\in X\mid x>a\}} , together with the set X. The left order topology on X is the topology having as a base all intervals of the form ( − ∞ , a ) = { x ∈ X ∣ x < a } {\displaystyle (-\infty ,a)=\{x\in X\mid x<a\}} , together with the set X. These topologies naturally arise when working with semicontinuous functions, in that a real-valued function on a topological space is lower semicontinuous if and only if it is continuous when the reals are equipped with the right order. The (natural) compact open topology on the resulting set of continuous functions is sometimes referred to as the semicontinuous topology. Additionally, these topologies can be used to give counterexamples in general topology. For example, the left or right order topology on a bounded set provides an example of a compact space that is not Hausdorff. The left order topology is the standard topology used for many set-theoretic purposes on a Boolean algebra.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Order topology

Start with the simplest possible case. Write down what Order topology claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Order topology before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Order topology ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Order topology

In research
Order topology appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Order topology in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Order topology is common in secondary-school and first-year university syllabi. It links to neighbouring topics General topology, Order theory, Ordinal numbers, so understanding it makes those chapters shorter.
In everyday life
Look for Order topology outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Order topology in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Order topology means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Order topology out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Order topology in simple terms?

In mathematics, an order topology is a specific topology that can be defined on any totally ordered set. It is a natural generalization of the topology of the real numbers to arbitrary totally ordered sets.

Why does Order topology matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Order topology?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Order topology.

Tags

  • General topology
  • Order theory
  • Ordinal numbers
  • Topological spaces

Keep exploring