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Conjugate Transpose


The conjugate transpose of an m×n matrix A is the n×m matrix defined by

 A^(H)=A^_^(T),
(1)

where A^(T) denotes the transpose of the matrix A and A^_ denotes the conjugate matrix. In all common spaces (i.e., separable Hilbert spaces), the conjugate and transpose operations commute, so

 A^(H)=A^_^(T)=A^(T)^_.
(2)

The symbol A^(H) (where the "H" stands for "Hermitian") gives official recognition to the fact that for complex matrices, it is almost always the case that the combined operation of taking the transpose and complex conjugate arises in physical or computation contexts and virtually never the transpose in isolation (Strang 1988, pp. 220-221).

The conjugate transpose of a matrix A is implemented in the Wolfram Language as ConjugateTranspose[A].

The conjugate transpose is also known as the adjoint matrix, adjugate matrix, Hermitian adjoint, or Hermitian transpose (Strang 1988, p. 221). Unfortunately, several different notations are in use as summarized in the following table. While the notation A^| is universally used in quantum field theory, A^(H) is commonly used in linear algebra. Note that because A^* is sometimes used to denote the complex conjugate, special care must be taken not to confuse notations from different sources.

notationreferences
A^(H)This work; Golub and van Loan (1996, p. 14), Strang (1988, p. 220)
A^*Courant and Hilbert (1989, p. 9), Lancaster and Tismenetsky (1984), Meyer (2000)
A^|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 of a matrix product is given by

 (ab)_(ij)^H=[(ab)^(T)^_]_(ij).
(3)

Using the identity for the product of transpose gives

((ab)^(T)^_)_(ij)=(b^(T)a^(T)^_)_(ij)
(4)
=b_(ik)^Ta_(kj)^T^_
(5)
=(b^(T)^_)_(ik)(a^(T)^_)_(kj)
(6)
=b_(ik)^Ha_(kj)^H
(7)
=(b^(H)a^(H))_(ij),
(8)

where Einstein summation has been used here to sum over repeated indices, it follows that

 (AB)^(H)=B^(H)A^(H).
(9)

See also

Adjoint, Complex Conjugate, Conjugate Matrix, Dagger, Hermitian Matrix, Schur Decomposition, Self-Adjoint Matrix, Transpose

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References

Arfken, G. Mathematical Methods for Physicists, 3rd ed. Orlando, FL: Academic Press, p. 210, 1985.Ayres, F. Jr. Schaum's Outline of Theory and Problems of Matrices. New York: Schaum, p. 49, 1962.Courant, R. and Hilbert, D. Methods of Mathematical Physics, Vol. 1. New York: Wiley, 1989.Golub, G. H. and Van Loan, C. F. Matrix Computations, 3rd ed. Baltimore, MD: Johns Hopkins University Press, p. 14, 1996.Lancaster, P. and Tismenetsky, M. The Theory of Matrices, with Applications, 2nd ed. New York: Academic Press, 1984.Meyer, C. D. Matrix Analysis and Applied Linear Algebra. Philadelphia, PA: SIAM, 2000.Strang, G. Linear Algebra and its Applications, 3rd ed. Philadelphia, PA: Saunders, 1988.Strang, G. Introduction to Linear Algebra. Wellesley, MA: Wellesley-Cambridge Press, 1993.Weinberg, S. The Quantum Theory of Fields, Vol. 1: Foundations. Cambridge, England: Cambridge University Press, 1995.

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Conjugate Transpose

Cite this as:

Weisstein, Eric W. "Conjugate Transpose." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/ConjugateTranspose.html

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