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Separable space

Separable space 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 Separable space rather than just read about it. In short: In mathematics, a topological space is called separable if it contains a countable dense subset; that is, there exists a sequence ( x n ) n = 1 ∞ {\displaystyle (x_{n})_{n=1}^{\infty }} of elements of the space such that every nonempty open subset of the space contains at least one element of the sequence. Like the other axioms of countability, separability is a "limitation on size", not necessarily in terms of card…

Key takeaways

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

Reference excerpt

In mathematics, a topological space is called separable if it contains a countable dense subset; that is, there exists a sequence ( x n ) n = 1 ∞ {\displaystyle (x_{n})_{n=1}^{\infty }} of elements of the space such that every nonempty open subset of the space contains at least one element of the sequence. Like the other axioms of countability, separability is a "limitation on size", not necessarily in terms of cardinality (though, in the presence of the Hausdorff axiom, this does turn out to be the case; see below) but in a more subtle topological sense. In particular, every continuous function on a separable space whose image is a subset of a Hausdorff space is determined by its values on the countable dense subset. Contrast separability with the related notion of second countability, which is in general stronger but equivalent on the class of metrizable spaces.

First examples Any topological space that is itself finite or countably infinite is separable, for the whole space is a countable dense subset of itself. An important example of an uncountable separable space is the real line, in which the rational numbers form a countable dense subset. Similarly the set of all length- n {\displaystyle n} vectors of rational numbers, r = ( r 1 , … , r n ) ∈ Q n {\displaystyle {\boldsymbol {r}}=(r_{1},\ldots ,r_{n})\in \mathbb {Q} ^{n}} , is a countable dense subset of the set of all length- n {\displaystyle n} vectors of real numbers, R n {\displaystyle \mathbb {R} ^{n}} ; so for every n {\displaystyle n} , n {\displaystyle n} -dimensional Euclidean space is separable. A simple example of a space that is not separable is a discrete space of uncountable cardinality. Further examples are given below.

Separability versus second countability Any second-countable space is separable: if { U n } {\displaystyle \{U_{n}\}} is a countable base, choosing any x n ∈ U n {\displaystyle x_{n}\in U_{n}} from the non-empty U n {\displaystyle U_{n}} gives a countable dense subset. Conversely, a metrizable space is separable if and only if it is second countable, which is the case if and only if it is Lindelöf. To further compare these two properties:

An arbitrary subspace of a second-countable space is second countable; subspaces of separable spaces need not be separable (see below). Any continuous image of a separable space is separable (Willard 1970, Th. 16.4a); even a quotient of a second-countable space need not be second countable. A product of at most continuum many separable spaces is separable (Willard 1970, p. 109, Th 16.4c). A countable product of second-countable spaces is second countable, but an uncountable product of second-countable spaces need not even be first countable. We can construct an example of a separable topological space that is not second countable. Consider any uncountable set X {\displaystyle X} , pick some x 0 ∈ X {\displaystyle x_{0}\in X} , and define the topology to be the collection of all sets that contain x 0 {\displaystyle x_{0}} (or are empty). Then, the closure of x 0 {\displaystyle {x_{0}}} is the whole space ( X {\displaystyle X} is the smallest closed set containing x 0 {\displaystyle x_{0}} ), but every set of the form { x 0 , x } {\displaystyle \{x_{0},x\}} is open. Therefore, the space is separable but there cannot have a countable base.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Separable space

Start with the simplest possible case. Write down what Separable space 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 Separable space 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 Separable space 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 Separable space

In research
Separable space 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 Separable space 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
Separable space is common in secondary-school and first-year university syllabi. It links to neighbouring topics General topology, Properties of topological spaces, so understanding it makes those chapters shorter.
In everyday life
Look for Separable space 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 Separable space in 20 minutes

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

Frequently asked questions

What is Separable space in simple terms?

In mathematics, a topological space is called separable if it contains a countable dense subset; that is, there exists a sequence ( x n ) n = 1 ∞ {\displaystyle (x_{n})_{n=1}^{\infty }} of elements of the space such that every nonempty open subset of the space contains at least one element of the s…

Why does Separable space 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 Separable space?

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 Separable space.

Tags

  • General topology
  • Properties of topological spaces

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