"Hermitian Matrix"의 두 판 사이의 차이
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(새 문서: = self-adjoint '''complex square matrix that is equal to its own conjugate transpose''' so, $$a_{ij} = \overline{a_{ji}} \quad \text{or} \quad A = \overline {A^\text{T}}$$) |
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| 6번째 줄: | 6번째 줄: | ||
$$a_{ij} = \overline{a_{ji}} \quad \text{or} \quad A = \overline {A^\text{T}}$$ | $$a_{ij} = \overline{a_{ji}} \quad \text{or} \quad A = \overline {A^\text{T}}$$ | ||
| + | |||
| + | example: \( | ||
| + | \begin{bmatrix} | ||
| + | 2 & 2+i & 4 \\ | ||
| + | 2-i & 3 & i \\ | ||
| + | 4 & -i & 1 \\ | ||
| + | \end{bmatrix} | ||
| + | \) | ||
2017년 6월 26일 (월) 01:28 판
= self-adjoint
complex square matrix that is equal to its own conjugate transpose
so,
$$a_{ij} = \overline{a_{ji}} \quad \text{or} \quad A = \overline {A^\text{T}}$$
example: \( \begin{bmatrix} 2 & 2+i & 4 \\ 2-i & 3 & i \\ 4 & -i & 1 \\ \end{bmatrix} \)