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Null set

Null set is a science 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 Null set rather than just read about it. In short: In mathematical analysis, a null set in R {\displaystyle \mathbb {R} } is a Lebesgue measurable set of real numbers that has measure zero. This can be characterized as a set that can be covered by a countable union of intervals of arbitrarily small total length.

Null set — main illustration
Null set — illustration

Key takeaways

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

Reference excerpt

In mathematical analysis, a null set in R {\displaystyle \mathbb {R} } is a Lebesgue measurable set of real numbers that has measure zero. This can be characterized as a set that can be covered by a countable union of intervals of arbitrarily small total length. A null set is not to be confused with the empty set as defined in set theory. Although the empty set has Lebesgue measure zero, there are also non-empty sets which are null. For example, any non-empty countable set of real numbers has Lebesgue measure zero and therefore is null. More generally, on a given measure space M = ( X , Σ , μ ) {\displaystyle M=(X,\Sigma ,\mu )} a null set is a set S ∈ Σ {\displaystyle S\in \Sigma } such that μ ( S ) = 0. {\displaystyle \mu (S)=0.}

Examples Every finite or countably infinite subset of the real numbers ⁠ R {\displaystyle \mathbb {R} } ⁠ is a null set. For example, the set of natural numbers ⁠ N {\displaystyle \mathbb {N} } ⁠, the set of rational numbers ⁠ Q {\displaystyle \mathbb {Q} } ⁠ and the set of algebraic numbers ⁠ A {\displaystyle \mathbb {A} } ⁠ are all countably infinite and therefore are null sets when considered as subsets of the real numbers. The Cantor set is an example of an uncountable null set. It is uncountable because it contains all real numbers between 0 and 1 whose ternary expansion can be written using only 0s and 2s (see Cantor's diagonal argument), and it is null because it is constructed by beginning with the closed interval of real numbers from 0 to 1 and iteratively removing a third of the previous set, thereby multiplying the length by 2/3 with every step. The set of Liouville numbers is another example of an uncountable null set.

Definition for Lebesgue measure The Lebesgue measure is the standard way of assigning a length, area or volume to subsets of Euclidean space. A subset N {\displaystyle N} of the real line R {\displaystyle \mathbb {R} } has null Lebesgue measure and is considered to be a null set (also known as a set of zero-content) in R {\displaystyle \mathbb {R} } if and only if:

(In terminology of mathematical analysis, this definition requires that there be a sequence of open covers of A {\displaystyle A} for which the limit of the lengths of the covers is zero.) This condition can be generalised to R n , {\displaystyle \mathbb {R} ^{n},} using n {\displaystyle n} -cubes instead of intervals. In fact, the idea can be made to make sense on any manifold, even if there is no Lebesgue measure there. For instance:

With respect to R n , {\displaystyle \mathbb {R} ^{n},} all singleton sets are null, and therefore all countable sets are null. In particular, the set Q {\displaystyle \mathbb {Q} } of rational numbers is a null set, despite being dense in R . {\displaystyle \mathbb {R} .}

The standard construction of the Cantor set is an example of a null uncountable set in R ; {\displaystyle \mathbb {R} ;} however other constructions are possible which assign the Cantor set any measure whatsoever. All the subsets of R n {\displaystyle \mathbb {R} ^{n}} whose dimension is smaller than n {\displaystyle n} have null Lebesgue measure in R n . {\displaystyle \mathbb {R} ^{n}.} For instance straight lines or circles are null sets in R 2 . {\displaystyle \mathbb {R} ^{2}.}

Sard's lemma: the set of critical values of a smooth function has measure zero. If λ {\displaystyle \lambda } is Lebesgue measure for R {\displaystyle \mathbb {R} } and π is Lebesgue measure for R 2 {\displaystyle \mathbb {R} ^{2}} , then the product measure λ × λ = π . {\displaystyle \lambda \times \lambda =\pi .} In terms of null sets, the following equivalence has been styled a Fubini's theorem:

… excerpt ends here. Continue reading the full article.

Illustrations

Null set: The Sierpiński triangle is an example of a null set of points in 
  
    
      
        
          
            R
          
          
            2
          
        
      
    
    {\displaystyle \mathbb {R} ^{2}}
  
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The Sierpiński triangle is an example of a null set of points in R 2 {\displaystyle \mathbb {R} ^{2}} .

Worked examples

Example 1 — a first encounter with Null set

Start with the simplest possible case. Write down what Null set claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Null set 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 Null set 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 Null set

In research
Null set appears in science 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 Null set 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
Null set is common in secondary-school and first-year university syllabi. It links to neighbouring topics Measure theory, Set theory, so understanding it makes those chapters shorter.
In everyday life
Look for Null set 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 Null set in 20 minutes

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

Frequently asked questions

What is Null set in simple terms?

In mathematical analysis, a null set in R {\displaystyle \mathbb {R} } is a Lebesgue measurable set of real numbers that has measure zero. This can be characterized as a set that can be covered by a countable union of intervals of arbitrarily small total length.

Why does Null set matter?

Because it connects several science 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 Null set?

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 Null set.

Tags

  • Measure theory
  • Set theory

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