Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof of the canonical isomorphism with the double dual

Builds on Dual spaceDual spaceLinear formLinear mapLinear independenceEvery linearly independent set extends to a basisA linear map is determined by its values on a basisA linear map is injective iff its kernel is trivialDimension of the dual spaceRank–nullity theoremLinearly independent set of the right size is a basisLinear isomorphism

Proof

  1. Let VV be a vector space over a field FF, and let V∗V^* be its dual space. By the definition, V∗V^* has pointwise operations.
  2. Fix v∈Vv \in V. For f,g∈V∗f, g \in V^* and a,b∈Fa, b \in F, we have ev⁡(v)(af+bg)=(af+bg)(v)=af(v)+bg(v)\operatorname{ev}(v)(af + bg) = (af + bg)(v) = a f(v) + b g(v).
  3. The right side of step 2 equals aev⁡(v)(f)+bev⁡(v)(g)a \operatorname{ev}(v)(f) + b \operatorname{ev}(v)(g). So ev⁡(v)\operatorname{ev}(v) is a linear form on V∗V^*, that is, ev⁡(v)∈V∗∗\operatorname{ev}(v) \in V^{**}.
  4. Let v,w∈Vv, w \in V and a,b∈Fa, b \in F. For every f∈V∗f \in V^*, linearity of ff gives ev⁡(av+bw)(f)=f(av+bw)=af(v)+bf(w)\operatorname{ev}(av + bw)(f) = f(av + bw) = a f(v) + b f(w).
  5. The right side of step 4 equals (aev⁡(v)+bev⁡(w))(f)(a \operatorname{ev}(v) + b \operatorname{ev}(w))(f). Since this holds for all ff, the map ev⁡\operatorname{ev} is linear.
  6. We show that the kernel of ev⁡\operatorname{ev} is {0}\{0\}. Let v∈Vv \in V with v≠0v \ne 0.
  7. The set {v}\{v\} is linearly independent, because v≠0v \ne 0. So it extends to a basis BB of VV with v∈Bv \in B.
  8. By the extension property of bases, there is a linear map f ⁣:V→Ff \colon V \to F with f(v)=1f(v) = 1 and f(b)=0f(b) = 0 for b∈B∖{v}b \in B \setminus \{v\}. Then f∈V∗f \in V^*.
  9. Then ev⁡(v)(f)=f(v)=1≠0\operatorname{ev}(v)(f) = f(v) = 1 \ne 0. So ev⁡(v)≠0\operatorname{ev}(v) \ne 0.
  10. By steps 6 to 9, the kernel of ev⁡\operatorname{ev} is {0}\{0\}. So ev⁡\operatorname{ev} is injective, by the kernel criterion.
  11. Now let VV be finite-dimensional with n=dim⁡Vn = \dim V. By the dimension of the dual space, V∗V^* is finite-dimensional with dim⁡V∗=n\dim V^* = n.
  12. Applying the same result to V∗V^*, the space V∗∗V^{**} is finite-dimensional with dim⁡V∗∗=dim⁡V∗=n\dim V^{**} = \dim V^* = n.
  13. By the rank–nullity theorem and step 10, dim⁡im⁡(ev⁡)=dim⁡V−0=n\dim \im(\operatorname{ev}) = \dim V - 0 = n.
  14. Let u1,…,unu_1, \dots, u_n be a basis of im⁡(ev⁡)\im(\operatorname{ev}). These are nn linearly independent vectors of V∗∗V^{**}, a space of dimension nn.
  15. By the criterion for bases, u1,…,unu_1, \dots, u_n is a basis of V∗∗V^{**}. So im⁡(ev⁡)\im(\operatorname{ev}) contains their span V∗∗V^{**}, and ev⁡\operatorname{ev} is surjective.
  16. By steps 5, 10 and 15, ev⁡\operatorname{ev} is a bijective linear map. So it is a linear isomorphism when VV is finite-dimensional.

Idea

To see that v≠0v \ne 0 is not sent to zero, we need one linear form that does not vanish at vv. Extending vv to a basis gives such a form. In finite dimensions, VV and V∗∗V^{**} have the same dimension, so an injective linear map between them is onto.

Reading path

To understand this page from the ground up, read these 82 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof that a linear map is injective iff its kernel is trivial, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of the dimension of the dual space by the dual basis, Proof of Zorn's lemma, Proof that a linear map is determined by its values on a basis, Proof that n independent or n spanning vectors in an n-dimensional space form a basis, Proof that a subspace of a finite-dimensional space has smaller or equal dimension, Proof of the rank–nullity theorem by extending a basis of the kernel.

  1. Basis concept
  2. Dimension concept
  3. Dual basis concept
  4. Dual space concept
  5. Element definition
  6. Finite-dimensional vector space concept
  7. Image of a linear map concept
  8. Kernel of a linear map concept
  9. Linear combination concept
  10. Linear form concept
  11. Linear independence concept
  12. Linear isomorphism concept
  13. Linear map concept
  14. Linear subspace concept
  15. Nullity concept
  16. Proof of Zorn's lemma proof
  17. Proposition concept
  18. Rank of a linear map concept
  19. Spanning set concept
  20. Vector space definition
  21. Set definition
  22. Proof that a linear map is determined by its values on a basis proof
  23. Proof that a linear map is injective iff its kernel is trivial proof
  24. Disjunction definition
  25. Implication definition
  26. Predicate definition
  27. Linear combination definition
  28. Linear map definition
  29. Linear subspace definition
  30. Family of sets definition
  31. Ordered pair definition
  32. Union definition
  33. Existential quantifier definition
  34. Universal quantifier definition
  35. Linear independence definition
  36. Image of a linear map definition
  37. Kernel of a linear map definition
  38. Linear form definition
  39. Linear span definition
  40. Space of linear maps definition
  41. Cartesian product definition
  42. Union of a family of sets definition
  43. Subset definition
  44. Uniqueness quantifier definition
  45. A linear map is injective iff its kernel is trivial statement
  46. Dual space definition
  47. Spanning set definition
  48. Binary relation definition
  49. Basis definition
  50. Finite-dimensional vector space definition
  51. Proof of the Steinitz exchange lemma by induction proof
  52. Antisymmetric relation definition
  53. Reflexive relation definition
  54. Transitive relation definition
  55. Dimension theorem for vector spaces statement
  56. Dimension definition
  57. Function definition
  58. A linear map is determined by its values on a basis statement
  59. Dual basis definition
  60. Steinitz exchange lemma statement
  61. Preorder definition
  62. Choice function definition
  63. Rank of a linear map definition
  64. Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
  65. Nullity definition
  66. Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
  67. Proof of the dimension of the dual space by the dual basis proof
  68. Partial order definition
  69. Axiom of choice statement
  70. Linearly independent set of the right size is a basis statement
  71. Dimension of a subspace statement
  72. Dimension of the dual space statement
  73. Maximal element definition
  74. Total order definition
  75. Upper bound definition
  76. Chain definition
  77. Zorn's lemma statement
  78. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  79. Every linearly independent set extends to a basis statement
  80. Proof of the rank–nullity theorem by extending a basis of the kernel proof
  81. Rank–nullity theorem statement
  82. Proof of the canonical isomorphism with the double dual proof

Where this leads

2 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Dual_space, Injection into the double-dual
About this page
TagA03D8FXB92
URIm2://A03D8FXB92
Kindproof
WritingW0 stub
MSC15A04
ProvesCanonical isomorphism with the double dual
UsesDual space, Dual space, Linear form, Linear map, Linear independence, Every linearly independent set extends to a basis, A linear map is determined by its values on a basis, A linear map is injective iff its kernel is trivial, Dimension of the dual space, Rank–nullity theorem, Linearly independent set of the right size is a basis, Linear isomorphism
Changed4 November 2026

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