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Luzin space

Luzin 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 Luzin space rather than just read about it. In short: In mathematics, a Luzin space (or Lusin space), named for N. N.

Key takeaways

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

Reference excerpt

In mathematics, a Luzin space (or Lusin space), named for N. N. Luzin, is an uncountable topological T1 space without isolated points in which every nowhere-dense subset is countable. There are many minor variations of this definition in use: the T1 condition can be replaced by T2 or T3, and some authors allow a countable or even arbitrary number of isolated points. The existence of a Luzin space is independent of the axioms of ZFC. Lusin (1914) showed that the continuum hypothesis implies that a Luzin space exists. Kunen (1977) showed that assuming Martin's axiom and the negation of the continuum hypothesis, there are no Hausdorff Luzin spaces.

In real analysis In real analysis and descriptive set theory, a Luzin set (or Lusin set), is defined as an uncountable subset A of the reals R {\displaystyle \mathbb {R} } such that every uncountable subset of A is nonmeager (that is, of the second Baire category) in R . {\displaystyle \mathbb {R} .}

Equivalently, A is an uncountable subset of R {\displaystyle \mathbb {R} } that meets every meager subset of R {\displaystyle \mathbb {R} } (i.e., first category set) in only countably many points. Equivalently, A is an uncountable subset of R {\displaystyle \mathbb {R} } that meets every nowhere dense subset of R {\displaystyle \mathbb {R} } (i.e., first category set) in only countably many points. Luzin proved that, if the continuum hypothesis holds, then every nonmeager set in R {\displaystyle \mathbb {R} } has a Luzin subset. Obvious properties of a Luzin set are that it must be nonmeager (otherwise the set itself is an uncountable meager subset) and of measure zero, because every set of positive measure contains a meager set that also has positive measure, and is therefore uncountable. A weakly Luzin set is an uncountable subset of a real vector space such that for any uncountable subset the set of directions between different elements of the subset is dense in the sphere of directions. The measure-category duality provides a measure analogue of Luzin sets – sets of positive outer measure, every uncountable subset of which has positive outer measure. These sets are called Sierpiński sets, after Wacław Sierpiński. Sierpiński sets are weakly Luzin sets but are not Luzin sets.

Example of a Luzin set Choose a collection of 2ℵ0 meager subsets of R such that every meager subset is contained in one of them. By the continuum hypothesis, it is possible to enumerate them as Sα for countable ordinals α. For each countable ordinal β choose a real number xβ that is not in any of the sets Sα for α<β, which is possible as the union of these sets is meager so is not the whole of R. Then the uncountable set X of all these real numbers xβ has only a countable number of elements in each set Sα, so is a Luzin set. More complicated variations of this construction produce examples of Luzin sets that are subgroups, subfields or real-closed subfields of the real numbers.

References Arkhangelskii, A. V. (1978), "Structure and Classification of Topological Spaces and Cardinal Invariants", Russian Mathematical Surveys, 33 (6): 33–96, Bibcode:1978RuMaS..33...33A, doi:10.1070/RM1978v033n06ABEH003884 Paper mentioning Luzin spaces Efimov, B. A. (2001) [1994], "Luzin space", Encyclopedia of Mathematics, EMS Press Kunen, Kenneth (1977), "Luzin spaces" (PDF), Topology Proceedings, 1: 191–199, MR 0450063, Zbl 0389.54004 Lusin, N. N. (1914), "Sur un problème de M. Baire", C. R. Acad. Sci. Paris, 158: 1258–1261 Oxtoby, John C. (1980), Measure and category: a survey of the analogies between topological and measure spaces, Berlin: Springer-Verlag, ISBN 0-387-90508-1

Worked examples

Example 1 — a first encounter with Luzin space

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

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

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

Frequently asked questions

What is Luzin space in simple terms?

In mathematics, a Luzin space (or Lusin space), named for N. N.

Why does Luzin 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 Luzin 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 Luzin space.

Tags

  • Descriptive set theory
  • Properties of topological spaces

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