Linear and multilinear algebra; matrix theory Proof
Proof that a linear map is determined by its values on a basis
Builds on BasisLinear mapLinear combination
Proof
We first prove uniqueness, then build the map from the coordinates of each vector.
- Since is a basis, each is a linear combination in exactly one way. Here , and for all but finitely many .
- Let be linear maps with for all . Let be written as in step 1.
- The sum in step 1 has finitely many nonzero terms. Linearity, applied once for each term, gives and .
- The right sides of step 3 are equal term by term. So for all , and .
- Now let be a family of vectors of . For as in step 1, define .
- This is a finite sum, since only finitely many are nonzero. The coefficients are unique, so is well defined.
- is additive. Let and . Then , and by uniqueness these are the coefficients of .
- Hence .
- is homogeneous. For , , and by uniqueness these are the coefficients of . Hence .
- So is linear. For , the vector has coefficient at and elsewhere, by uniqueness. Hence .
- If is another linear map with for all , then and agree on the basis. By step 4, .
- So there is exactly one linear map with for all .
Idea
Every vector is a unique combination of basis vectors, and a linear map must respect combinations. So the images of the basis vectors fix the map. Conversely, any choice of images defines a map by sending each combination to the same combination of the chosen images.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Basis concept
- Linear combination concept
- Linear map concept
- Proof that a linear map is determined by its values on a basis proof
Where this leads
20 pages build on this one.
- Dimension of the dual space
- Dimension of the annihilator
- Classification of complex quadratic forms
- Dimension of a tensor product
- A linear map is determined by its values on a basis
- Basis of a tensor product
- Finite-dimensional spaces are isomorphic iff they have equal dimension
- Universal property of the tensor product
- Dimension of the space of linear maps
- Canonical isomorphism with the double dual
- Proof of the dimension formula for a tensor product
- Proof of the dimension formula for the space of linear maps
- Proof of the canonical isomorphism with the double dual
- Natural transformation
- Proof of the classification of complex quadratic forms by rescaling a diagonal form
- Proof that the tensor products of basis vectors form a basis
- Proof of the dimension of the annihilator by a dual basis
- Proof of the dimension of the dual space by the dual basis
- Proof of the universal property of the tensor product from its construction
- Proof that finite-dimensional spaces are isomorphic iff they have equal dimension
Further reading
About this page
| Tag | PETNSVJEFW |
|---|---|
| URI | m2://PETNSVJEFW |
| Kind | proof |
| Writing | W0 stub |
| MSC | 15A04 |
| Proves | A linear map is determined by its values on a basis |
| Uses | Basis, Linear map, Linear combination |
| Changed | 4 November 2026 |
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