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Permutation representation

Permutation representation 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 Permutation representation rather than just read about it. In short: In mathematics, the term permutation representation of a (typically finite) group G {\displaystyle G} can refer to either of two closely related notions: a representation of G {\displaystyle G} as a group of permutations, or as a group of permutation matrices. The term also refers to the combination of the two.

Key takeaways

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

Reference excerpt

In mathematics, the term permutation representation of a (typically finite) group G {\displaystyle G} can refer to either of two closely related notions: a representation of G {\displaystyle G} as a group of permutations, or as a group of permutation matrices. The term also refers to the combination of the two.

Abstract permutation representation A permutation representation of a group G {\displaystyle G} on a set X {\displaystyle X} is a homomorphism from G {\displaystyle G} to the symmetric group of X {\displaystyle X} :

ρ : G → Sym ⁡ ( X ) . {\displaystyle \rho \colon G\to \operatorname {Sym} (X).}

The image ρ ( G ) ⊂ Sym ⁡ ( X ) {\displaystyle \rho (G)\subset \operatorname {Sym} (X)} is a permutation group and the elements of G {\displaystyle G} are represented as permutations of X {\displaystyle X} . A permutation representation is equivalent to an action of G {\displaystyle G} on the set X {\displaystyle X} :

G × X → X . {\displaystyle G\times X\to X.}

See the article on group action for further details.

Linear permutation representation If G {\displaystyle G} is a permutation group of degree n {\displaystyle n} , then the permutation representation of G {\displaystyle G} is the linear representation of G {\displaystyle G}

ρ : G → GL n ⁡ ( K ) {\displaystyle \rho \colon G\to \operatorname {GL} _{n}(K)}

which maps g ∈ G {\displaystyle g\in G} to the corresponding permutation matrix (here K {\displaystyle K} is an arbitrary field). That is, G {\displaystyle G} acts on K n {\displaystyle K^{n}} by permuting the standard basis vectors. This notion of a permutation representation can, of course, be composed with the previous one to represent an arbitrary abstract group G {\displaystyle G} as a group of permutation matrices. One first represents G {\displaystyle G} as a permutation group and then maps each permutation to the corresponding matrix. Representing G {\displaystyle G} as a permutation group acting on itself by translation, one obtains the regular representation.

Character of the permutation representation Given a group G {\displaystyle G} and a finite set X {\displaystyle X} with G {\displaystyle G} acting on the set X {\displaystyle X} then the character χ {\displaystyle \chi } of the permutation representation is exactly the number of fixed points of X {\displaystyle X} under the action of ρ ( g ) {\displaystyle \rho (g)} on X {\displaystyle X} . That is χ ( g ) = {\displaystyle \chi (g)=} the number of points of X {\displaystyle X} fixed by ρ ( g ) {\displaystyle \rho (g)} . This follows since, if we represent the map ρ ( g ) {\displaystyle \rho (g)} with a matrix with basis defined by the elements of X {\displaystyle X} we get a permutation matrix of X {\displaystyle X} . Now the character of this representation is defined as the trace of this permutation matrix. An element on the diagonal of a permutation matrix is 1 if the point in X {\displaystyle X} is fixed, and 0 otherwise. So we can conclude that the trace of the permutation matrix is exactly equal to the number of fixed points of X {\displaystyle X} . For example, if G = S 3 {\displaystyle G=S_{3}} and X = { 1 , 2 , 3 } {\displaystyle X=\{1,2,3\}} the character of the permutation representation can be computed with the formula χ ( g ) = {\displaystyle \chi (g)=} the number of points of X {\displaystyle X} fixed by g {\displaystyle g} . So

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Permutation representation

Start with the simplest possible case. Write down what Permutation representation 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 Permutation representation 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 Permutation representation 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 Permutation representation

In research
Permutation representation 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 Permutation representation 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
Permutation representation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Abstract algebra stubs, Permutation groups, Representation theory of finite groups, so understanding it makes those chapters shorter.
In everyday life
Look for Permutation representation 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 Permutation representation in 20 minutes

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

Frequently asked questions

What is Permutation representation in simple terms?

In mathematics, the term permutation representation of a (typically finite) group G {\displaystyle G} can refer to either of two closely related notions: a representation of G {\displaystyle G} as a group of permutations, or as a group of permutation matrices. The term also refers to the combinatio…

Why does Permutation representation 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 Permutation representation?

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 Permutation representation.

Tags

  • Abstract algebra stubs
  • Permutation groups
  • Representation theory of finite groups

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