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Subspace topology

Subspace 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 Subspace topology rather than just read about it. In short: In topology and related areas of mathematics, a subspace of a topological space ( X , τ ) {\displaystyle (X,\tau )} is a subset S of X which is equipped with a topology induced from that of τ {\displaystyle \tau } called the subspace topology (or the relative topology, inherited topology, induced topology, or trace topology). Definition Given a topological space ( X , τ ) {\displaystyle (X,\tau )} and a subset S {\d…

Subspace topology — main illustration
Subspace topology — illustration

Key takeaways

  • Subspace 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 Subspace topology to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Subspace topology from memory before moving on to harder problems.

Reference excerpt

In topology and related areas of mathematics, a subspace of a topological space ( X , τ ) {\displaystyle (X,\tau )} is a subset S of X which is equipped with a topology induced from that of τ {\displaystyle \tau } called the subspace topology (or the relative topology, inherited topology, induced topology, or trace topology).

Definition Given a topological space ( X , τ ) {\displaystyle (X,\tau )} and a subset S {\displaystyle S} of X {\displaystyle X} , the subspace topology on S {\displaystyle S} is defined by

τ S = { S ∩ U ∣ U ∈ τ } . {\displaystyle \tau _{S}=\lbrace S\cap U\mid U\in \tau \rbrace .}

That is, a subset of S {\displaystyle S} is open in the subspace topology if and only if it is the intersection of S {\displaystyle S} with an open set in ( X , τ ) {\displaystyle (X,\tau )} . If S {\displaystyle S} is equipped with the subspace topology then it is a topological space in its own right, and is called a subspace of ( X , τ ) {\displaystyle (X,\tau )} . Subsets of topological spaces are usually assumed to be equipped with the subspace topology unless otherwise stated. Alternatively we can define the subspace topology for a subset S {\displaystyle S} of X {\displaystyle X} as the coarsest topology for which the inclusion map

ι : S ↪ X {\displaystyle \iota :S\hookrightarrow X}

is continuous. More generally, suppose ι {\displaystyle \iota } is an injection from a set S {\displaystyle S} to a topological space X {\displaystyle X} . Then the subspace topology on S {\displaystyle S} is defined as the coarsest topology for which ι {\displaystyle \iota } is continuous. The open sets in this topology are precisely the ones of the form ι − 1 ( U ) {\displaystyle \iota ^{-1}(U)} for U {\displaystyle U} open in X {\displaystyle X} . S {\displaystyle S} is then homeomorphic to its image in X {\displaystyle X} (also with the subspace topology) and ι {\displaystyle \iota } is called a topological embedding. A subspace S {\displaystyle S} is called an open subspace if the injection ι {\displaystyle \iota } is an open map, i.e., if the forward image of an open set of S {\displaystyle S} is open in X {\displaystyle X} . Likewise it is called a closed subspace if the injection ι {\displaystyle \iota } is a closed map.

Terminology The distinction between a set and a topological space is often blurred notationally, for convenience, which can be a source of confusion when one first encounters these definitions. Thus, whenever S {\displaystyle S} is a subset of X {\displaystyle X} , and ( X , τ ) {\displaystyle (X,\tau )} is a topological space, then the unadorned symbols " S {\displaystyle S} " and " X {\displaystyle X} " can often be used to refer both to S {\displaystyle S} and X {\displaystyle X} considered as two subsets of X {\displaystyle X} , and also to ( S , τ S ) {\displaystyle (S,\tau _{S})} and ( X , τ ) {\displaystyle (X,\tau )} as the topological spaces, related as discussed above. So phrases such as " S {\displaystyle S} an open subspace of X {\displaystyle X} " are used to mean that ( S , τ S ) {\displaystyle (S,\tau _{S})} is an open subspace of ( X , τ ) {\displaystyle (X,\tau )} , in the sense used above; that is: (i) S ∈ τ {\displaystyle S\in \tau } ; and (ii) S {\displaystyle S} is considered to be endowed with the subspace topology.

Examples In the following, R {\displaystyle \mathbb {R} } represents the real numbers with their usual topology.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Subspace topology

Start with the simplest possible case. Write down what Subspace 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 Subspace 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 Subspace 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 Subspace topology

In research
Subspace 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 Subspace 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
Subspace topology is common in secondary-school and first-year university syllabi. It links to neighbouring topics General topology, Topology, so understanding it makes those chapters shorter.
In everyday life
Look for Subspace 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.
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How to study Subspace topology in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Subspace 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 Subspace topology out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Subspace topology in simple terms?

In topology and related areas of mathematics, a subspace of a topological space ( X , τ ) {\displaystyle (X,\tau )} is a subset S of X which is equipped with a topology induced from that of τ {\displaystyle \tau } called the subspace topology (or the relative topology, inherited topology, induced t…

Why does Subspace 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 Subspace 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 Subspace topology.

Tags

  • General topology
  • Topology

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