Math 2.0

Linear and multilinear algebra; matrix theory Proof

Proof that the matrix of the adjoint is the conjugate transpose

Builds on Inner productAdjoint of a linear mapMatrix of a linear mapConjugate transposeOrthonormal basisCoordinates in an orthonormal basis

Proof

We compute both matrices entry by entry with the formula for coordinates in an orthonormal basis.

  1. Let VV and WW be finite-dimensional inner product spaces over 𝕂=ℝ\mathbb{K} = \R or β„‚\C, with inner products written βŸ¨β‹…,β‹…βŸ©\ip{\cdot}{\cdot}. Let B=(b1,…,bn)B = (b_1, \dots, b_n) and C=(c1,…,cm)C = (c_1, \dots, c_m) be orthonormal bases of VV and WW.
  2. Let T ⁣:Vβ†’WT \colon V \to W be linear, with adjoint Tβˆ—β€‰β£:Wβ†’VT^* \colon W \to V. So ⟨T(v),w⟩=⟨v,Tβˆ—(w)⟩\ip{T(v)}{w} = \ip{v}{T^*(w)} for all v∈Vv \in V and w∈Ww \in W.
  3. By the definition of the matrix of a linear map, [T]C,B=(aij)[T]_{C,B} = (a_{ij}) is the mΓ—nm \times n matrix with T(bj)=βˆ‘i=1maijciT(b_j) = \sum_{i=1}^{m} a_{ij} c_i.
  4. Likewise, [Tβˆ—]B,C=(dji)[T^*]_{B,C} = (d_{ji}) is the nΓ—mn \times m matrix with Tβˆ—(ci)=βˆ‘j=1ndjibjT^*(c_i) = \sum_{j=1}^{n} d_{ji} b_j, for 1≀i≀m1 \le i \le m.
  5. By the formula for coordinates in the orthonormal basis CC, the coordinates of T(bj)T(b_j) are aij=⟨T(bj),ci⟩a_{ij} = \ip{T(b_j)}{c_i}.
  6. By the same formula in the orthonormal basis BB, the coordinates of Tβˆ—(ci)T^*(c_i) are dji=⟨Tβˆ—(ci),bj⟩d_{ji} = \ip{T^*(c_i)}{b_j}.
  7. By conjugate symmetry and step 2, dji=⟨bj,Tβˆ—(ci)βŸ©β€Ύ=⟨T(bj),ciβŸ©β€Ύ=aijβ€Ύd_{ji} = \overline{\ip{b_j}{T^*(c_i)}} = \overline{\ip{T(b_j)}{c_i}} = \overline{a_{ij}}.
  8. By the definition of the conjugate transpose, the (j,i)(j, i) entry of ([T]C,B)βˆ—([T]_{C,B})^* is aijβ€Ύ\overline{a_{ij}}.
  9. So [Tβˆ—]B,C[T^*]_{B,C} and ([T]C,B)βˆ—([T]_{C,B})^* have the same size nΓ—mn \times m and the same entries. Hence [Tβˆ—]B,C=([T]C,B)βˆ—[T^*]_{B,C} = ([T]_{C,B})^*.

Idea

In an orthonormal basis, each matrix entry is an inner product: the (i,j)(i, j) entry of [T][T] is ⟨T(bj),ci⟩\ip{T(b_j)}{c_i}. The defining property of the adjoint moves TT across the inner product. Conjugate symmetry then turns the entry of [Tβˆ—][T^*] into the conjugate of the mirrored entry of [T][T].

Reading path

To understand this page from the ground up, read these 22 pages in order. The foundations come first. The path takes the proof Proof of the formula for coordinates in an orthonormal basis.

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Matrix, definition, no evidence levelMatrixdefinitionVector space, definition, no evidence levelVector spacedefinitionTranspose, definition, no evidence levelTransposedefinitionInner product, definition, no evidence levelInner productdefinitionLinear combination, definition, no evidence levelLinear combinationdefinitionLinear map, definition, no evidence levelLinear mapdefinitionLinear subspace, definition, no evidence levelLinear subspacedefinitionConjugate transpose, definition, no evidence levelConjugate transposedefinitionInner product space, definition, no evidence levelInner product spacedefinitionOrthogonal vectors, definition, no evidence levelOrthogonal vectorsdefinitionLinear independence, definition, no evidence levelLinear independencedefinitionLinear span, definition, no evidence levelLinear spandefinitionAdjoint of a linear map, definition, no evidence levelAdjoint of a linear m…definitionOrthonormal family, definition, no evidence levelOrthonormal familydefinitionSpanning set, definition, no evidence levelSpanning setdefinitionBasis, definition, no evidence levelBasisdefinitionCoordinate vector, definition, no evidence levelCoordinate vectordefinitionOrthonormal basis, definition, no evidence levelOrthonormal basisdefinitionProof of the formula for coordinates in an orthonormal basis, proof, no evidence levelProof of the formula …proofMatrix of a linear map, definition, no evidence levelMatrix of a linear mapdefinitionCoordinates in an orthonormal basis, statement, no evidence levelCoordinates in an ort…statementProof that the matrix of the adjoint is the conjugate transpose, proof, no evidence levelProof that the matrix…proof
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Matrix definition
  2. Vector space definition
  3. Transpose definition
  4. Inner product definition
  5. Linear combination definition
  6. Linear map definition
  7. Linear subspace definition
  8. Conjugate transpose definition
  9. Inner product space definition
  10. Orthogonal vectors definition
  11. Linear independence definition
  12. Linear span definition
  13. Adjoint of a linear map definition
  14. Orthonormal family definition
  15. Spanning set definition
  16. Basis definition
  17. Coordinate vector definition
  18. Orthonormal basis definition
  19. Proof of the formula for coordinates in an orthonormal basis proof
  20. Matrix of a linear map definition
  21. Coordinates in an orthonormal basis statement
  22. Proof that the matrix of the adjoint is the conjugate transpose proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://linear.axler.net/LADR4e.pdf, Theorem 7.9
About this page
TagDBYTK4D7YV
URIm2://DBYTK4D7YV
Kindproof
WritingW0 stub
MSC15A04, 47A05
ProvesMatrix of the adjoint is the conjugate transpose
UsesInner product, Adjoint of a linear map, Matrix of a linear map, Conjugate transpose, Orthonormal basis, Coordinates in an orthonormal basis
Changed4 November 2026

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