The conjugate transpose of an matrix
is the
matrix defined by
|
(1)
|
Here,
is the transpose and
is the conjugate matrix.
Entrywise complex conjugation and transpose
commute for every complex matrix.
The conjugate transpose of a matrix is implemented in the Wolfram
Language as ConjugateTranspose[A].
The conjugate transpose is also called the Hermitian conjugate or Hermitian transpose and is often called the adjoint in matrix contexts. The phrase adjoint
matrix is ambiguous because it can instead mean the adjugate
matrix. Several notations are in use, as summarized in the following table. The
notation
is common in numerical linear algebra,
is common in operator theory, and
is common in physics. Since
can also denote the complex
conjugate, the convention must be determined from context.
| notation | references |
| This work; Golub and van Loan (1996, p. 14), Strang (1988, p. 220) | |
| Courant and Hilbert (1989, p. 9), Lancaster and Tismenetsky (1984), Meyer (2000) | |
| Arfken (1985, p. 210), Weinberg (1995, p. xxv) |
If a matrix is equal to its own conjugate transpose, it is said to be self-adjoint and is called a Hermitian.
The conjugate transpose reverses a matrix product since
|
(2)
| |||
|
(3)
| |||
|
(4)
|