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
- Let be a vector space over a field , and let be its dual space. By the definition, has pointwise operations.
- Fix . For and , we have .
- The right side of step 2 equals . So is a linear form on , that is, .
- Let and . For every , linearity of gives .
- The right side of step 4 equals . Since this holds for all , the map is linear.
- We show that the kernel of is . Let with .
- The set is linearly independent, because . So it extends to a basis of with .
- By the extension property of bases, there is a linear map with and for . Then .
- Then . So .
- By steps 6 to 9, the kernel of is . So is injective, by the kernel criterion.
- Now let be finite-dimensional with . By the dimension of the dual space, is finite-dimensional with .
- Applying the same result to , the space is finite-dimensional with .
- By the rank–nullity theorem and step 10, .
- Let be a basis of . These are linearly independent vectors of , a space of dimension .
- By the criterion for bases, is a basis of . So contains their span , and is surjective.
- By steps 5, 10 and 15, is a bijective linear map. So it is a linear isomorphism when is finite-dimensional.
Idea
To see that is not sent to zero, we need one linear form that does not vanish at . Extending to a basis gives such a form. In finite dimensions, and 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.
- Basis concept
- Dimension concept
- Dual basis concept
- Dual space concept
- Element definition
- Finite-dimensional vector space concept
- Image of a linear map concept
- Kernel of a linear map concept
- Linear combination concept
- Linear form concept
- Linear independence concept
- Linear isomorphism concept
- Linear map concept
- Linear subspace concept
- Nullity concept
- Proof of Zorn's lemma proof
- Proposition concept
- Rank of a linear map concept
- Spanning set concept
- Vector space definition
- Set definition
- Proof that a linear map is determined by its values on a basis proof
- Proof that a linear map is injective iff its kernel is trivial proof
- Disjunction definition
- Implication definition
- Predicate definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Family of sets definition
- Ordered pair definition
- Union definition
- Existential quantifier definition
- Universal quantifier definition
- Linear independence definition
- Image of a linear map definition
- Kernel of a linear map definition
- Linear form definition
- Linear span definition
- Space of linear maps definition
- Cartesian product definition
- Union of a family of sets definition
- Subset definition
- Uniqueness quantifier definition
- A linear map is injective iff its kernel is trivial statement
- Dual space definition
- Spanning set definition
- Binary relation definition
- Basis definition
- Finite-dimensional vector space definition
- Proof of the Steinitz exchange lemma by induction proof
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Dimension theorem for vector spaces statement
- Dimension definition
- Function definition
- A linear map is determined by its values on a basis statement
- Dual basis definition
- Steinitz exchange lemma statement
- Preorder definition
- Choice function definition
- Rank of a linear map definition
- Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
- Nullity definition
- Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
- Proof of the dimension of the dual space by the dual basis proof
- Partial order definition
- Axiom of choice statement
- Linearly independent set of the right size is a basis statement
- Dimension of a subspace statement
- Dimension of the dual space statement
- Maximal element definition
- Total order definition
- Upper bound definition
- Chain definition
- Zorn's lemma statement
- Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
- Every linearly independent set extends to a basis statement
- Proof of the rank–nullity theorem by extending a basis of the kernel proof
- Rank–nullity theorem statement
- Proof of the canonical isomorphism with the double dual proof
Where this leads
2 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Dual_space, Injection into the double-dual
About this page
| Tag | A03D8FXB92 |
|---|---|
| URI | m2://A03D8FXB92 |
| Kind | proof |
| Writing | W0 stub |
| MSC | 15A04 |
| Proves | Canonical isomorphism with the double dual |
| Uses | Dual 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 |
| Changed | 4 November 2026 |
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