Linear and multilinear algebra; matrix theory Proof
Proof of the change of basis formula
Builds on Matrix of a linear mapChange of basis matrixMatrix multiplicationInvertible matrixOne-sided inverse of a square matrix is two-sidedAssociativity of matrix multiplicationCoordinate vectorBasis
Proof
We compute in the basis in two ways, and then show that is invertible.
- Let and . Write , , and .
- By the definition of the change of basis matrix, and satisfy and .
- Let and . By the definition of the matrix of a linear map, and .
- Fix . By step 3 and then step 2, , using the matrix product.
- By step 2 and linearity, .
- The coordinates of in the basis are unique. Comparing steps 4 and 5 gives for all . So .
- Now we show that is invertible. Let be the change of basis matrix from to , so that .
- By steps 2 and 7, .
- Also , where is if and otherwise. By uniqueness of coordinates in , .
- By one-sided inverses of square matrices, is invertible with .
- Multiply on the left by . By associativity, .
- So .
- For an endomorphism of with and , is the change of basis matrix from to . So , and .
Idea
Expand in the old output basis in two ways. Going through the new output basis gives column of . Going through the old input basis gives column of . Equating them and inverting gives the formula.
Reading path
To understand this page from the ground up, read these 92 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof of the associativity of matrix multiplication, Proof that a subspace of full dimension is the whole space, Proof of the distributivity of matrix multiplication, Proof that the coordinate space F^n has dimension n, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma, 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 that a one-sided inverse of a square matrix is two-sided, Proof of the rank–nullity theorem by extending a basis of the kernel.
- Basis concept
- Change of basis matrix concept
- Coordinate space object
- Coordinate vector concept
- Dimension concept
- Element definition
- Group concept
- Identity matrix object
- Image of a linear map concept
- Invertible matrix concept
- Kernel of a linear map concept
- Linear independence concept
- Linear map concept
- Linear subspace concept
- Matrix definition
- Matrix multiplication concept
- Matrix of a linear map concept
- Nullity concept
- Proof of Zorn's lemma proof
- Proposition concept
- Rank of a linear map concept
- Spanning set concept
- Standard basis object
- Vector space definition
- Set definition
- Ring definition
- Matrix addition definition
- Matrix multiplication definition
- Matrix–vector product definition
- Square matrix definition
- Disjunction definition
- Implication definition
- Predicate definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Family of sets definition
- Ordered pair definition
- Proof of the associativity of matrix multiplication proof
- Proof of the distributivity of matrix multiplication proof
- Union definition
- Invertible matrix definition
- Existential quantifier definition
- Universal quantifier definition
- Linear independence definition
- Image of a linear map definition
- Kernel of a linear map definition
- Linear span definition
- Cartesian product definition
- Associativity of matrix multiplication statement
- Distributivity of matrix multiplication statement
- Union of a family of sets definition
- Subset definition
- Uniqueness quantifier definition
- Spanning set definition
- Binary relation definition
- Finite-dimensional vector space definition
- Basis definition
- Proof of the Steinitz exchange lemma by induction proof
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Dimension definition
- Dimension theorem for vector spaces statement
- Function definition
- Steinitz exchange lemma statement
- Preorder definition
- Choice function definition
- Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
- Proof that the coordinate space F^n has dimension n proof
- Rank of a linear map definition
- Nullity definition
- Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
- Partial order definition
- Dimension of the coordinate space statement
- Axiom of choice statement
- Linearly independent set of the right size is a basis statement
- Dimension of a subspace statement
- Maximal element definition
- Total order definition
- Upper bound definition
- Proof that a subspace of full dimension is the whole space proof
- Chain definition
- A subspace of full dimension is the whole space statement
- 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 that a one-sided inverse of a square matrix is two-sided proof
- One-sided inverse of a square matrix is two-sided statement
- Proof of the change of basis formula proof
Where this leads
18 pages build on this one.
- Triangularisation
- A matrix is diagonalisable iff it has a basis of eigenvectors
- Determinant of a matrix exponential
- Simultaneous diagonalisation
- Determinant of a linear map is the determinant of its matrix
- Diagonalisable iff the minimal polynomial has distinct roots
- Change of basis formula
- Trace of a linear map is the trace of its matrix
- Distinct eigenvalues imply diagonalisable
- Proof that a matrix is diagonalisable iff it has a basis of eigenvectors
- Proof that a matrix is diagonalisable iff its minimal polynomial has distinct roots
- Proof that the trace of a linear map does not depend on the basis
- Modal analysis
- Proof of simultaneous diagonalisation of commuting diagonalisable matrices
- Proof of triangularisation by induction on the size
- Proof that the determinant of a matrix exponential is the exponential of the trace
- Proof that distinct eigenvalues imply diagonalisable
- Proof that the determinant of a linear map does not depend on the basis
Further reading
About this page
| Tag | 72AQPHFDE0 |
|---|---|
| URI | m2://72AQPHFDE0 |
| Kind | proof |
| Writing | W0 stub |
| MSC | 15A04 |
| Proves | Change of basis formula |
| Uses | Matrix of a linear map, Change of basis matrix, Matrix multiplication, Invertible matrix, One-sided inverse of a square matrix is two-sided, Associativity of matrix multiplication, Coordinate vector, Basis |
| Changed | 4 November 2026 |
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