Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof that the tensor products of basis vectors form a basis

Builds on Tensor product of vector spacesUniversal property of the tensor productBasisSpanning setLinear independenceA linear map is determined by its values on a basisLinear map

Proof

We use the construction V⊗W=L/NV \otimes W = L / N of the tensor product, where v⊗wv \otimes w is the class of the basis vector [v,w][v, w] of LL.

  1. The elements of NN have class 00. So (v+v′)⊗w=v⊗w+v′⊗w(v + v') \otimes w = v \otimes w + v' \otimes w, v⊗(w+w′)=v⊗w+v⊗w′v \otimes (w + w') = v \otimes w + v \otimes w', and (av)⊗w=a(v⊗w)=v⊗(aw)(av) \otimes w = a (v \otimes w) = v \otimes (aw).
  2. Each element of V⊗WV \otimes W is the class of a finite combination ∑kck[vk,wk]\sum_k c_k [v_k, w_k]. So it is ∑kck(vk⊗wk)\sum_k c_k (v_k \otimes w_k), and the vectors v⊗wv \otimes w span V⊗WV \otimes W.
  3. Let v∈Vv \in V and w∈Ww \in W. Since (ei)(e_i) and (fj)(f_j) are bases, v=∑iaieiv = \sum_i a_i e_i and w=∑jbjfjw = \sum_j b_j f_j with finitely many nonzero coefficients.
  4. By step 1, v⊗w=∑i,jaibj (ei⊗fj)v \otimes w = \sum_{i,j} a_i b_j\, (e_i \otimes f_j). With step 2, the family (ei⊗fj)(e_i \otimes f_j) spans V⊗WV \otimes W.
  5. For independence, let ∑(i,j)cij (ei⊗fj)=0\sum_{(i,j)} c_{ij}\, (e_i \otimes f_j) = 0, with only finitely many cij≠0c_{ij} \ne 0. Fix (k,l)∈I×J(k, l) \in I \times J.
  6. By the extension from a basis, there are linear maps α ⁣:V→F\alpha \colon V \to F with α(ei)=δik\alpha(e_i) = \delta_{ik} and β ⁣:W→F\beta \colon W \to F with β(fj)=δjl\beta(f_j) = \delta_{jl}. Here δ\delta is 11 for equal indices and 00 otherwise.
  7. The map h(v,w)=α(v)β(w)h(v, w) = \alpha(v) \beta(w) from V×WV \times W to FF is bilinear, since α\alpha and β\beta are linear.
  8. By the universal property, there is a linear map φ ⁣:V⊗W→F\varphi \colon V \otimes W \to F with φ(v⊗w)=α(v)β(w)\varphi(v \otimes w) = \alpha(v) \beta(w).
  9. In particular φ(ei⊗fj)=δikδjl\varphi(e_i \otimes f_j) = \delta_{ik} \delta_{jl}. Applying φ\varphi to the relation of step 5 gives ckl=0c_{kl} = 0.
  10. Since (k,l)(k, l) was arbitrary, all cijc_{ij} vanish. So the family is linearly independent.
  11. By steps 4 and 10, (ei⊗fj)(i,j)∈I×J(e_i \otimes f_j)_{(i,j) \in I \times J} is a basis of V⊗WV \otimes W.

Idea

Spanning comes from expanding vv and ww in their bases and using bilinearity. For independence, the universal property gives a linear functional that reads off one coefficient cklc_{kl}. It comes from the bilinear map that multiplies the kk-th coordinate of vv by the ll-th coordinate of ww.

Reading path

To understand this page from the ground up, read these 26 pages in order. The foundations come first. The path takes the proofs Proof that a linear map is determined by its values on a basis, Proof of the universal property of the quotient space, Proof of the universal property of the tensor product from its construction.

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Basis, concept, no evidence levelBasisconceptKernel of a linear map, concept, no evidence levelKernel of a linear mapconceptLinear combination, concept, no evidence levelLinear combinationconceptLinear map, concept, no evidence levelLinear mapconceptQuotient map, concept, no evidence levelQuotient mapconceptQuotient space, concept, no evidence levelQuotient spaceconceptVector space, definition, no evidence levelVector spacedefinitionProof that a linear map is determined by its values on a basis, proof, no evidence levelProof that a linear m…proofProof of the universal property of the quotient space, proof, no evidence levelProof of the universa…proofBilinear form, definition, no evidence levelBilinear formdefinitionLinear combination, definition, no evidence levelLinear combinationdefinitionLinear map, definition, no evidence levelLinear mapdefinitionLinear subspace, definition, no evidence levelLinear subspacedefinitionLinear independence, definition, no evidence levelLinear independencedefinitionKernel of a linear map, definition, no evidence levelKernel of a linear mapdefinitionLinear span, definition, no evidence levelLinear spandefinitionTensor product of vector spaces, definition, no evidence levelTensor product of vec…definitionQuotient space, definition, no evidence levelQuotient spacedefinitionSpanning set, definition, no evidence levelSpanning setdefinitionQuotient map, definition, no evidence levelQuotient mapdefinitionBasis, definition, no evidence levelBasisdefinitionUniversal property of the quotient space, statement, no evidence levelUniversal property of…statementA linear map is determined by its values on a basis, statement, no evidence levelA linear map is deter…statementProof of the universal property of the tensor product from its construction, proof, no evidence levelProof of the universa…proofUniversal property of the tensor product, statement, no evidence levelUniversal property of…statementProof that the tensor products of basis vectors form a basis, proof, no evidence levelProof that the tensor…proof
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Basis concept
  2. Kernel of a linear map concept
  3. Linear combination concept
  4. Linear map concept
  5. Quotient map concept
  6. Quotient space concept
  7. Vector space definition
  8. Proof that a linear map is determined by its values on a basis proof
  9. Proof of the universal property of the quotient space proof
  10. Bilinear form definition
  11. Linear combination definition
  12. Linear map definition
  13. Linear subspace definition
  14. Linear independence definition
  15. Kernel of a linear map definition
  16. Linear span definition
  17. Tensor product of vector spaces definition
  18. Quotient space definition
  19. Spanning set definition
  20. Quotient map definition
  21. Basis definition
  22. Universal property of the quotient space statement
  23. A linear map is determined by its values on a basis statement
  24. Proof of the universal property of the tensor product from its construction proof
  25. Universal property of the tensor product statement
  26. Proof that the tensor products of basis vectors form a basis proof

Where this leads

3 pages build on this one.

Further reading

  1. Web https://kconrad.math.uconn.edu/blurbs/linmultialg/tensorprod.pdf, Theorem 4.9
About this page
TagGMR2HXZRMR
URIm2://GMR2HXZRMR
Kindproof
WritingW0 stub
MSC15A69
ProvesBasis of a tensor product
UsesTensor product of vector spaces, Universal property of the tensor product, Basis, Spanning set, Linear independence, A linear map is determined by its values on a basis, Linear map
Changed4 November 2026

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