Tensor Product of Representations

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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

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication 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 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesLiteral EquationsSlope-Intercept FormPoint-Slope FormWriting Linear EquationsParallel and Perpendicular Line SlopesGraphing Linear EquationsPiecewise FunctionsStep FunctionsComposition of FunctionsCategories and MorphismsFunctorsNatural Transformations2-Categories and Weak FunctorsNatural Isomorphisms Between FunctorsIsomorphisms in CategoriesUniversal PropertiesInitial and Terminal ObjectsProducts and CoproductsTensor Products as Universal ConstructionsTensor Product of Representations

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