Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof of the dimension formula for a quotient space

Builds on Dimension of a subspaceEvery linearly independent set extends to a basisDimension theorem for vector spacesQuotient spaceBasisLinear independenceSpanning setDimensionFinite-dimensional vector space

Proof

We extend a basis of WW to a basis of VV and show that the cosets of the new vectors form a basis of V/WV / W.

  1. Let n=dim⁡Vn = \dim V. By the dimension of a subspace, WW is finite-dimensional. Let m=dim⁡Wm = \dim W and let (w1,…,wm)(w_1, \dots, w_m) be a basis of WW.
  2. The family (w1,…,wm)(w_1, \dots, w_m) is linearly independent in VV. By extension to a basis, it is part of a basis of VV.
  3. By the dimension theorem, this basis has nn vectors. Write it as (w1,…,wm,vm+1,…,vn)(w_1, \dots, w_m, v_{m+1}, \dots, v_n).
  4. In the quotient space V/WV / W, the zero vector is 0+W=W0 + W = W, since (0+W)+(v+W)=v+W(0 + W) + (v + W) = v + W for all v∈Vv \in V.
  5. For x∈Vx \in V, we have x+W=Wx + W = W if and only if x∈Wx \in W. If x+W=Wx + W = W, then x=x+0∈Wx = x + 0 \in W. If x∈Wx \in W, then x+w∈Wx + w \in W and w=x+(w−x)w = x + (w - x) for each w∈Ww \in W, so x+W=Wx + W = W.
  6. The cosets vm+1+W,…,vn+Wv_{m+1} + W, \dots, v_n + W span V/WV / W. Let v+W∈V/Wv + W \in V / W, and write v=∑i=1maiwi+∑k=m+1nakvkv = \sum_{i=1}^m a_i w_i + \sum_{k=m+1}^n a_k v_k in the basis of step 3.
  7. By the operations of V/WV / W, v+W=∑i=1mai(wi+W)+∑k=m+1nak(vk+W)v + W = \sum_{i=1}^m a_i (w_i + W) + \sum_{k=m+1}^n a_k (v_k + W).
  8. Each wiw_i lies in WW, so wi+Ww_i + W is the zero vector by steps 4 and 5. Hence v+W=∑k=m+1nak(vk+W)v + W = \sum_{k=m+1}^n a_k (v_k + W).
  9. The cosets vm+1+W,…,vn+Wv_{m+1} + W, \dots, v_n + W are linearly independent. Suppose ∑k=m+1nbk(vk+W)=W\sum_{k=m+1}^n b_k (v_k + W) = W with bk∈Fb_k \in F.
  10. The left side equals x+Wx + W with x=∑k=m+1nbkvkx = \sum_{k=m+1}^n b_k v_k. By step 5, x∈Wx \in W.
  11. Since (w1,…,wm)(w_1, \dots, w_m) spans WW, x=∑i=1mdiwix = \sum_{i=1}^m d_i w_i for some d1,…,dm∈Fd_1, \dots, d_m \in F.
  12. Then ∑i=1mdiwi−∑k=m+1nbkvk=0\sum_{i=1}^m d_i w_i - \sum_{k=m+1}^n b_k v_k = 0. The basis of step 3 is linearly independent, so all bk=0b_k = 0.
  13. By steps 6 to 12, (vm+1+W,…,vn+W)(v_{m+1} + W, \dots, v_n + W) is a basis of V/WV / W with n−mn - m vectors.
  14. So V/WV / W is finite-dimensional with dimension n−mn - m. Hence dim⁡(V/W)+dim⁡W=(n−m)+m=dim⁡V\dim(V / W) + \dim W = (n - m) + m = \dim V.

Idea

Choose a basis of VV that starts with a basis of WW. Passing to the quotient kills the vectors of WW. The remaining basis vectors survive as cosets and form a basis of V/WV / W, so exactly dim⁡W\dim W dimensions are lost.

Reading path

To understand this page from the ground up, read these 53 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma, Proof that a subspace of a finite-dimensional space has smaller or equal dimension.

  1. Basis concept
  2. Dimension concept
  3. Element definition
  4. Finite-dimensional vector space concept
  5. Linear independence concept
  6. Proof of Zorn's lemma proof
  7. Proposition concept
  8. Quotient space concept
  9. Spanning set concept
  10. Vector space definition
  11. Set definition
  12. Disjunction definition
  13. Implication definition
  14. Predicate definition
  15. Linear combination definition
  16. Linear subspace definition
  17. Family of sets definition
  18. Ordered pair definition
  19. Union definition
  20. Existential quantifier definition
  21. Universal quantifier definition
  22. Linear independence definition
  23. Linear span definition
  24. Cartesian product definition
  25. Union of a family of sets definition
  26. Subset definition
  27. Uniqueness quantifier definition
  28. Spanning set definition
  29. Binary relation definition
  30. Finite-dimensional vector space definition
  31. Basis definition
  32. Proof of the Steinitz exchange lemma by induction proof
  33. Antisymmetric relation definition
  34. Reflexive relation definition
  35. Transitive relation definition
  36. Dimension definition
  37. Function definition
  38. Dimension theorem for vector spaces statement
  39. Steinitz exchange lemma statement
  40. Preorder definition
  41. Choice function definition
  42. Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
  43. Partial order definition
  44. Axiom of choice statement
  45. Dimension of a subspace statement
  46. Maximal element definition
  47. Total order definition
  48. Upper bound definition
  49. Chain definition
  50. Zorn's lemma statement
  51. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  52. Every linearly independent set extends to a basis statement
  53. Proof of the dimension formula for a quotient space proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://pi.math.cornell.edu/~dcollins/math4310/IsomorphismTheorems.pdf, Proposition 1
About this page
Tag6JGF4G3QRC
URIm2://6JGF4G3QRC
Kindproof
WritingW0 stub
MSC15A03
ProvesDimension of a quotient space
UsesDimension of a subspace, Every linearly independent set extends to a basis, Dimension theorem for vector spaces, Quotient space, Basis, Linear independence, Spanning set, Dimension, Finite-dimensional vector space
Changed4 November 2026

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