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Regular Representation

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regular-representation left-regular group-algebra

Core Idea

The (left) regular representation of a finite group G acts on the vector space ℂ[G] with basis {eᵍ : g ∈ G} by left multiplication: ρ(g)(eₕ) = e_{gh}. It has dimension |G| and contains every irreducible representation Vᵢ with multiplicity equal to dim(Vᵢ). The regular representation is the "universal" representation from which all others can be extracted, and its decomposition yields the fundamental formula |G| = Σ dᵢ².

Explainer

The regular representation is constructed from the group itself. Form a vector space ℂ[G] with one basis vector eᵍ for each element g ∈ G, so dim(ℂ[G]) = |G|. Define the left action of G by ρ(g)(eₕ) = e_{gh} — each group element permutes the basis vectors by left multiplication. This is always a faithful representation (distinct group elements give distinct permutations), and it carries maximal information about the group's structure.

The character of the regular representation has a striking form: χ_reg(e) = |G| and χ_reg(g) = 0 for all g ≠ e. The identity fixes every basis vector (trace = |G|), while any non-identity element moves every basis vector (no diagonal entries, trace = 0). Using this character to compute multiplicities: nᵢ = ⟨χ_reg, χᵢ⟩ = (1/|G|) Σ_{g∈G} χ_reg(g) conjugate(χᵢ(g)) = (1/|G|) · |G| · χᵢ(e) = dᵢ. Each irreducible representation Vᵢ appears with multiplicity exactly equal to its dimension.

This decomposition ℂ[G] ≅ ⊕ᵢ Vᵢ^{⊕dᵢ} has profound consequences. Comparing dimensions: |G| = Σ dᵢ². This sum-of-squares formula is one of the most basic constraints in finite group representation theory — it limits which sets of dimensions can arise as irreducible degrees. For example, a group of order 12 might have irreducibles of dimensions 1, 1, 1, 3 (since 1+1+1+9 = 12) or 1, 1, 1, 1, 2, 2 (since 1+1+1+1+4+4 = 12), but never 1, 1, 1, 1, 1, 1, 1, 5 (since 5² = 25 > 12).

The regular representation also reveals the connection between representation theory and the group algebra ℂ[G]. The group algebra is ℂ[G] with multiplication defined by extending the group multiplication linearly: (Σ aᵍeᵍ)(Σ bₕeₕ) = Σ aᵍbₕe_{gh}. The decomposition ℂ[G] ≅ ⊕ Mₐᵢ(ℂ) (as an algebra, by the Artin-Wedderburn theorem) connects the representation theory of G to the structure theory of semisimple algebras.

Practice Questions 3 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Vectors in Two Dimensions → Vector Operations: Addition, Subtraction, and Scalar Multiplication → Dot Product (Inner Product in R^n) → Matrix Multiplication → Determinants of 2×2 and 3×3 Matrices → Invertible Matrices and Matrix Inverses → Systems of Linear Equations and Matrix Form → Gaussian Elimination and Row Reduction → Row Echelon Form and Back Substitution → The Standard Matrix of a Linear Transformation → Eigenvalues and Eigenvectors → Matrix Representations → Equivalence of Representations → Reducibility and Irreducibility → Maschke's Theorem → Character Theory → Regular Representation

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