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Tensor Product of Representations

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Reducibility and IrreducibilityTensor Products as Universal ConstructionsRepresentation Ring
tensor-product clebsch-gordan kronecker-product

Core Idea

Given representations ρ: G → GL(V) and σ: G → GL(W), their tensor product ρ ⊗ σ: G → GL(V ⊗ W) is defined by (ρ ⊗ σ)(g)(v ⊗ w) = ρ(g)v ⊗ σ(g)w. The character of the tensor product is the pointwise product of characters: χ_{ρ⊗σ}(g) = χ_ρ(g)·χ_σ(g). Decomposing tensor products of irreducibles into irreducible summands (the Clebsch-Gordan problem) is fundamental in both mathematics and physics.

Explainer

The tensor product gives a way to combine two representations into a new, larger one. If G acts on V via ρ and on W via σ, the tensor product representation acts on V ⊗ W by the diagonal action: g sends v ⊗ w to ρ(g)v ⊗ σ(g)w, extended linearly to all of V ⊗ W. This is not the same as acting on V and W independently (which would be the direct sum ρ ⊕ σ) — in the tensor product, the same group element g acts simultaneously on both factors.

The dimension of V ⊗ W is dim(V) · dim(W), and in a chosen basis the representing matrix is the Kronecker product of the two individual matrices. The character has a beautiful form: χ_{ρ⊗σ}(g) = χ_ρ(g) · χ_σ(g), a pointwise product. This follows from the fact that the eigenvalues of A ⊗ B are all pairwise products of eigenvalues of A and B, so tr(A ⊗ B) = tr(A) · tr(B). This multiplicativity converts the tensor product decomposition problem into arithmetic with characters.

The Clebsch-Gordan problem asks: given irreducible representations V_i and V_j, decompose V_i ⊗ V_j into irreducibles. The answer is V_i ⊗ V_j ≅ ⊕_k N_{ij}^k V_k, where the multiplicities N_{ij}^k (called Clebsch-Gordan coefficients or Kronecker coefficients for symmetric groups) are computed by N_{ij}^k = ⟨χ_i · χ_j, χ_k⟩. For finite groups over ℂ, this is always a finite computation. For SU(2) in physics, the Clebsch-Gordan decomposition governs angular momentum addition: coupling spin-j₁ and spin-j₂ gives all spins from |j₁−j₂| to j₁+j₂.

Tensor products interact with direct sums distributively: (V₁ ⊕ V₂) ⊗ W ≅ (V₁ ⊗ W) ⊕ (V₂ ⊗ W). This, combined with the tensor product of irreducibles, means the entire tensor product structure is determined by the Clebsch-Gordan coefficients for irreducible pairs. These coefficients encode deep information about the group and are the subject of ongoing research, particularly for symmetric groups (where computing Kronecker coefficients is a major open problem in algebraic combinatorics).

Practice Questions 4 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionSine, Cosine, and Tangent RatiosTrigonometric Ratios ReviewVectors in Two DimensionsVector Operations: Addition, Subtraction, and Scalar MultiplicationDot Product (Inner Product in R^n)Matrix MultiplicationDeterminants of 2×2 and 3×3 MatricesInvertible Matrices and Matrix InversesSystems of Linear Equations and Matrix FormGaussian Elimination and Row ReductionRow Echelon Form and Back SubstitutionThe Standard Matrix of a Linear TransformationEigenvalues and EigenvectorsMatrix RepresentationsEquivalence of RepresentationsReducibility and IrreducibilityTensor Product of Representations

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