Alphabeta Math
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01
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Linear pullback respects tensor products and permutations

Statement

Let V and W be finite-dimensional real vector spaces, let A:V→W be linear, let S and T be covariant tensors on W of degrees k and ℓ, respectively, and let σ∈Sℓ. Then

A∗(S⊗T)=A∗S⊗A∗T,A∗(σ⋅T)=σ⋅(A∗T).

Facts & Assumptions

Given: Finite-dimensional real vector spaces V,W, a linear map A:V→W, covariant tensors S,T on W of degrees k,ℓ, and a permutation σ∈Sℓ.

[F1]

Pullback of a covariant tensor substitutes Avi into every slot (The pullback of a covariant tensor by a linear map).

[F2]

Tensor product multiplies the factor values on concatenated arguments, and the permutation action reorders the arguments (The tensor product of multilinear tensors, The permutation action on covariant tensors).

Proof

technique · direct
1.1F1F2givenalgebra

Evaluating on v1,…,vk+ℓ and using [F1] and [F2], A∗(S⊗T)(v1,…,vk+ℓ)=(S⊗T)(Av1,…,Avk+ℓ)=S(Av1,…,Avk) T(Avk+1,…,Avk+ℓ), which is exactly (A∗S⊗A∗T)(v1,…,vk+ℓ).

1.2F1F2givenalgebra

Likewise, A∗(σ⋅T)(v1,…,vℓ)=(σ⋅T)(Av1,…,Avℓ)=T(Avσ(1),…,Avσ(ℓ)), which equals (σ⋅A∗T)(v1,…,vℓ).

2.1step 1.1step 1.2∎

Therefore linear pullback respects tensor products and permutations.

Depends on

Used by

Dependency tree · two levels

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Sources