Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof of the dimension of the annihilator by a dual basis

Builds on Annihilator of a subspaceDimension of a subspaceBasisEvery linearly independent set extends to a basisDimensionDual basisDual basisA linear map is determined by its values on a basis

Proof

  1. Let n=dim⁡Vn = \dim V. By the result on the dimension of a subspace, WW is finite-dimensional. Let k=dim⁡Wk = \dim W.
  2. Let b1,…,bkb_1, \dots, b_k be a basis of WW. It is linearly independent in VV, so it extends to a basis of VV.
  3. By the definition of dimension, this basis of VV has nn elements. Write it as b1,…,bnb_1, \dots, b_n.
  4. Let b1∗,…,bn∗∈V∗b_1^*, \dots, b_n^* \in V^* be the dual basis, so bi∗(bj)=δijb_i^*(b_j) = \delta_{ij}. Here δij=1\delta_{ij} = 1 if i=ji = j and δij=0\delta_{ij} = 0 otherwise.
  5. We claim that bk+1∗,…,bn∗b_{k+1}^*, \dots, b_n^* is a basis of the annihilator W0={f∈V∗:f(w)=0 for all w∈W}W^0 = \set{f \in V^* : f(w) = 0 \text{ for all } w \in W}.
  6. Each bi∗b_i^* with i>ki > k lies in W0W^0. Indeed, each w∈Ww \in W is w=∑j=1kcjbjw = \sum_{j=1}^{k} c_j b_j with cj∈Fc_j \in F. Then bi∗(w)=∑j=1kcjδij=0b_i^*(w) = \sum_{j=1}^{k} c_j \delta_{ij} = 0, since j≤k<ij \le k < i.
  7. The forms bk+1∗,…,bn∗b_{k+1}^*, \dots, b_n^* are linearly independent. Suppose ∑i=k+1ncibi∗=0\sum_{i=k+1}^{n} c_i b_i^* = 0 with ci∈Fc_i \in F.
  8. Evaluate the sum of step 7 at bjb_j for j>kj > k. This gives ∑i=k+1nciδij=cj=0\sum_{i=k+1}^{n} c_i \delta_{ij} = c_j = 0. So all cjc_j are 00.
  9. The forms bk+1∗,…,bn∗b_{k+1}^*, \dots, b_n^* span W0W^0. Let f∈W0f \in W^0 and put g=∑i=k+1nf(bi)bi∗g = \sum_{i=k+1}^{n} f(b_i) b_i^*.
  10. For j≤kj \le k, we have g(bj)=0g(b_j) = 0 by step 6, and f(bj)=0f(b_j) = 0 because bj∈Wb_j \in W.
  11. For j>kj > k, we have g(bj)=∑i=k+1nf(bi)δij=f(bj)g(b_j) = \sum_{i=k+1}^{n} f(b_i) \delta_{ij} = f(b_j).
  12. So ff and gg agree on the basis b1,…,bnb_1, \dots, b_n. A linear map is determined by its values on a basis, so f=gf = g.
  13. By steps 6 to 12, bk+1∗,…,bn∗b_{k+1}^*, \dots, b_n^* is a basis of W0W^0. So dim⁡W0=n−k\dim W^0 = n - k.
  14. Hence dim⁡W+dim⁡W0=k+(n−k)=n=dim⁡V\dim W + \dim W^0 = k + (n - k) = n = \dim V.

Idea

Choose a basis of VV that starts with a basis of WW. The dual basis forms that belong to the remaining basis vectors vanish on WW, and they give exactly the forms that vanish on WW. So the annihilator has one dimension for each basis vector outside WW.

Reading path

To understand this page from the ground up, read these 60 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 linear map is determined by its values on a basis, Proof that a subspace of a finite-dimensional space has smaller or equal dimension.

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

Where this leads

1 page builds on this one.

Further reading

  1. Web https://math.iisc.ac.in/~vamsipingali/teaching/ma219linalgebra2019fall/12Sept2019.pdf, Theorem 2.1
About this page
TagJ0B6MDK0PN
URIm2://J0B6MDK0PN
Kindproof
WritingW0 stub
MSC15A03, 15A04
ProvesDimension of the annihilator
UsesAnnihilator of a subspace, Dimension of a subspace, Basis, Every linearly independent set extends to a basis, Dimension, Dual basis, Dual basis, A linear map is determined by its values on a basis
Changed4 November 2026

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