Content deleted Content added
→Motivation: added explanation of notation and additional reference |
|||
Line 73:
Thus, an \(m \times n\) matrix of complex numbers could be well represented by a \(2m \times 2n\) matrix of real numbers. The conjugate transpose, therefore, arises very naturally as the result of simply transposing such a matrix—when viewed back again as an \(n \times m\) matrix made up of complex numbers.
For an explanation of the notation used here, we begin by representing complex numbers
<math>
</math>
Since
Since \(e^{i\theta} = \cos \theta + i \sin \theta\), we are led to the matrix representations of the unit numbers as▼
<math>
e^{i\theta} =\cos \theta+\sin \theta</math>
▲
<math>
</math>
<math>
▲A general complex number \(z = x + iy\) is then represented as
</math>
The complex conjugate operation, where
▲\[z = \begin{pmatrix} x & -y \\ y & x \end{pmatrix}.\]
▲The complex conjugate operation, where \(i \rightarrow -i\), is seen to be just the matrix transpose.
▲For further reference, see <ref>[here](https://math.libretexts.org/Bookshelves/Differential_Equations/Applied_Linear_Algebra_and_Differential_Equations_(Chasnov)/02%3A_II._Linear_Algebra/01%3A_Matrices/1.06%3A_Matrix_Representation_of_Complex_Numbers)</ref>.
==Properties of the conjugate transpose==
|