Math 2.0

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 T(bj′)T(b'_j) in the basis CC in two ways, and then show that QQ is invertible.

  1. Let n=dim⁡Vn = \dim V and m=dim⁡Wm = \dim W. Write B=(b1,…,bn)B = (b_1, \dots, b_n), B′=(b1′,…,bn′)B' = (b'_1, \dots, b'_n), C=(c1,…,cm)C = (c_1, \dots, c_m) and C′=(c1′,…,cm′)C' = (c'_1, \dots, c'_m).
  2. By the definition of the change of basis matrix, P=(pkj)P = (p_{kj}) and Q=(qik)Q = (q_{ik}) satisfy bj′=∑k=1npkjbkb'_j = \sum_{k=1}^n p_{kj} b_k and ck′=∑i=1mqikcic'_k = \sum_{i=1}^m q_{ik} c_i.
  3. Let M=[T]C,B=(μik)M = [T]_{C,B} = (\mu_{ik}) and M′=[T]C′,B′=(μkj′)M' = [T]_{C',B'} = (\mu'_{kj}). By the definition of the matrix of a linear map, T(bk)=∑iμikciT(b_k) = \sum_{i} \mu_{ik} c_i and T(bj′)=∑kμkj′ck′T(b'_j) = \sum_{k} \mu'_{kj} c'_k.
  4. Fix jj. By step 3 and then step 2, T(bj′)=∑k=1mμkj′∑i=1mqikci=∑i=1m(QM′)ij ciT(b'_j) = \sum_{k=1}^m \mu'_{kj} \sum_{i=1}^m q_{ik} c_i = \sum_{i=1}^m (Q M')_{ij}\, c_i, using the matrix product.
  5. By step 2 and linearity, T(bj′)=∑k=1npkjT(bk)=∑k=1npkj∑i=1mμikci=∑i=1m(MP)ij ciT(b'_j) = \sum_{k=1}^n p_{kj} T(b_k) = \sum_{k=1}^n p_{kj} \sum_{i=1}^m \mu_{ik} c_i = \sum_{i=1}^m (M P)_{ij}\, c_i.
  6. The coordinates of T(bj′)T(b'_j) in the basis CC are unique. Comparing steps 4 and 5 gives (QM′)ij=(MP)ij(QM')_{ij} = (MP)_{ij} for all i,ji, j. So QM′=MPQM' = MP.
  7. Now we show that QQ is invertible. Let R=(rki)R = (r_{ki}) be the change of basis matrix from C′C' to CC, so that ci=∑k=1mrkick′c_i = \sum_{k=1}^m r_{ki} c'_k.
  8. By steps 2 and 7, cl′=∑i=1mqilci=∑k=1m(∑i=1mrkiqil)ck′=∑k=1m(RQ)kl ck′c'_l = \sum_{i=1}^m q_{il} c_i = \sum_{k=1}^m \left(\sum_{i=1}^m r_{ki} q_{il}\right) c'_k = \sum_{k=1}^m (RQ)_{kl}\, c'_k.
  9. Also cl′=∑kδklck′c'_l = \sum_k \delta_{kl} c'_k, where δkl\delta_{kl} is 11 if k=lk = l and 00 otherwise. By uniqueness of coordinates in C′C', RQ=ImRQ = I_m.
  10. By one-sided inverses of square matrices, QQ is invertible with Q−1=RQ^{-1} = R.
  11. Multiply QM′=MPQM' = MP on the left by Q−1Q^{-1}. By associativity, M′=(Q−1Q)M′=Q−1(QM′)=Q−1(MP)=Q−1MPM' = (Q^{-1} Q) M' = Q^{-1}(QM') = Q^{-1}(MP) = Q^{-1} M P.
  12. So [T]C′,B′=Q−1[T]C,BP[T]_{C',B'} = Q^{-1} [T]_{C,B} P.
  13. For an endomorphism TT of VV with C=BC = B and C′=B′C' = B', QQ is the change of basis matrix from BB to B′B'. So Q=PQ = P, and [T]B′=P−1[T]BP[T]_{B'} = P^{-1} [T]_B P.

Idea

Expand T(bj′)T(b'_j) in the old output basis CC in two ways. Going through the new output basis C′C' gives column jj of QM′QM'. Going through the old input basis BB gives column jj of MPMP. Equating them and inverting QQ 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.

  1. Basis concept
  2. Change of basis matrix concept
  3. Coordinate space object
  4. Coordinate vector concept
  5. Dimension concept
  6. Element definition
  7. Group concept
  8. Identity matrix object
  9. Image of a linear map concept
  10. Invertible matrix concept
  11. Kernel of a linear map concept
  12. Linear independence concept
  13. Linear map concept
  14. Linear subspace concept
  15. Matrix definition
  16. Matrix multiplication concept
  17. Matrix of a linear map concept
  18. Nullity concept
  19. Proof of Zorn's lemma proof
  20. Proposition concept
  21. Rank of a linear map concept
  22. Spanning set concept
  23. Standard basis object
  24. Vector space definition
  25. Set definition
  26. Ring definition
  27. Matrix addition definition
  28. Matrix multiplication definition
  29. Matrix–vector product definition
  30. Square matrix definition
  31. Disjunction definition
  32. Implication definition
  33. Predicate definition
  34. Linear combination definition
  35. Linear map definition
  36. Linear subspace definition
  37. Family of sets definition
  38. Ordered pair definition
  39. Proof of the associativity of matrix multiplication proof
  40. Proof of the distributivity of matrix multiplication proof
  41. Union definition
  42. Invertible matrix definition
  43. Existential quantifier definition
  44. Universal quantifier definition
  45. Linear independence definition
  46. Image of a linear map definition
  47. Kernel of a linear map definition
  48. Linear span definition
  49. Cartesian product definition
  50. Associativity of matrix multiplication statement
  51. Distributivity of matrix multiplication statement
  52. Union of a family of sets definition
  53. Subset definition
  54. Uniqueness quantifier definition
  55. Spanning set definition
  56. Binary relation definition
  57. Finite-dimensional vector space definition
  58. Basis definition
  59. Proof of the Steinitz exchange lemma by induction proof
  60. Antisymmetric relation definition
  61. Reflexive relation definition
  62. Transitive relation definition
  63. Dimension definition
  64. Dimension theorem for vector spaces statement
  65. Function definition
  66. Steinitz exchange lemma statement
  67. Preorder definition
  68. Choice function definition
  69. Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
  70. Proof that the coordinate space F^n has dimension n proof
  71. Rank of a linear map definition
  72. Nullity definition
  73. Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
  74. Partial order definition
  75. Dimension of the coordinate space statement
  76. Axiom of choice statement
  77. Linearly independent set of the right size is a basis statement
  78. Dimension of a subspace statement
  79. Maximal element definition
  80. Total order definition
  81. Upper bound definition
  82. Proof that a subspace of full dimension is the whole space proof
  83. Chain definition
  84. A subspace of full dimension is the whole space statement
  85. Zorn's lemma statement
  86. Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
  87. Every linearly independent set extends to a basis statement
  88. Proof of the rank–nullity theorem by extending a basis of the kernel proof
  89. Rank–nullity theorem statement
  90. Proof that a one-sided inverse of a square matrix is two-sided proof
  91. One-sided inverse of a square matrix is two-sided statement
  92. Proof of the change of basis formula proof

Where this leads

18 pages build on this one.

Further reading

  1. Web https://dec41.user.srcf.net/notes/IB_M/linear_algebra_thm_proof.pdf, Section 2.4
About this page
Tag72AQPHFDE0
URIm2://72AQPHFDE0
Kindproof
WritingW0 stub
MSC15A04
ProvesChange of basis formula
UsesMatrix 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
Changed4 November 2026

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