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Limit point compact

Limit point compact 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 Limit point compact rather than just read about it. In short: In mathematics, a topological space X {\displaystyle X} is said to be limit point compact or weakly countably compact if every infinite subset of X {\displaystyle X} has a limit point in X . {\displaystyle X.} This property generalizes a property of compact spaces. In a metric space, limit point compactness, compactness, and sequential compactness are all equivalent.

Key takeaways

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

Reference excerpt

In mathematics, a topological space X {\displaystyle X} is said to be limit point compact or weakly countably compact if every infinite subset of X {\displaystyle X} has a limit point in X . {\displaystyle X.} This property generalizes a property of compact spaces. In a metric space, limit point compactness, compactness, and sequential compactness are all equivalent. For general topological spaces, however, these three notions of compactness are not equivalent.

Properties and examples In a topological space, subsets without limit point are exactly those that are closed and discrete in the subspace topology. So a space is limit point compact if and only if all its closed discrete subsets are finite. A space X {\displaystyle X} is not limit point compact if and only if it has an infinite closed discrete subspace. Since any subset of a closed discrete subset of X {\displaystyle X} is itself closed in X {\displaystyle X} and discrete, this is equivalent to require that X {\displaystyle X} has a countably infinite closed discrete subspace. Some examples of spaces that are not limit point compact: (1) The set R {\displaystyle \mathbb {R} } of all real numbers with its usual topology, since the integers are an infinite set but do not have a limit point in R {\displaystyle \mathbb {R} } ; (2) an infinite set with the discrete topology; (3) the countable complement topology on an uncountable set. Every countably compact space (and hence every compact space) is limit point compact. For T1 spaces, limit point compactness is equivalent to countable compactness. An example of limit point compact space that is not countably compact is obtained by "doubling the integers", namely, taking the product X = Z × Y {\displaystyle X=\mathbb {Z} \times Y} where Z {\displaystyle \mathbb {Z} } is the set of all integers with the discrete topology and Y = { 0 , 1 } {\displaystyle Y=\{0,1\}} has the indiscrete topology. The space X {\displaystyle X} is homeomorphic to the odd-even topology. This space is not T0. It is limit point compact because every nonempty subset has a limit point. An example of T0 space that is limit point compact and not countably compact is X = R , {\displaystyle X=\mathbb {R} ,} the set of all real numbers, with the right order topology, i.e., the topology generated by all intervals ( x , ∞ ) . {\displaystyle (x,\infty ).} The space is limit point compact because given any point a ∈ X , {\displaystyle a\in X,} every x < a {\displaystyle x<a} is a limit point of { a } . {\displaystyle \{a\}.}

For metrizable spaces, compactness, countable compactness, limit point compactness, and sequential compactness are all equivalent. Closed subspaces of a limit point compact space are limit point compact. The continuous image of a limit point compact space need not be limit point compact. For example, if X = Z × Y {\displaystyle X=\mathbb {Z} \times Y} with Z {\displaystyle \mathbb {Z} } discrete and Y {\displaystyle Y} indiscrete as in the example above, the map f = π Z {\displaystyle f=\pi _{\mathbb {Z} }} given by projection onto the first coordinate is continuous, but f ( X ) = Z {\displaystyle f(X)=\mathbb {Z} } is not limit point compact. A limit point compact space need not be pseudocompact. An example is given by the same X = Z × Y {\displaystyle X=\mathbb {Z} \times Y} with Y {\displaystyle Y} indiscrete two-point space and the map f = π Z , {\displaystyle f=\pi _{\mathbb {Z} },} whose image is not bounded in R . {\displaystyle \mathbb {R} .}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Limit point compact

Start with the simplest possible case. Write down what Limit point compact 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 Limit point compact 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 Limit point compact 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 Limit point compact

In research
Limit point compact 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 Limit point compact 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
Limit point compact is common in secondary-school and first-year university syllabi. It links to neighbouring topics Compactness (mathematics), Properties of topological spaces, so understanding it makes those chapters shorter.
In everyday life
Look for Limit point compact 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 Limit point compact in 20 minutes

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

Frequently asked questions

What is Limit point compact in simple terms?

In mathematics, a topological space X {\displaystyle X} is said to be limit point compact or weakly countably compact if every infinite subset of X {\displaystyle X} has a limit point in X . {\displaystyle X.} This property generalizes a property of compact spaces. In a metric space, limit point co…

Why does Limit point compact 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 Limit point compact?

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 Limit point compact.

Tags

  • Compactness (mathematics)
  • Properties of topological spaces

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