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  • Operations on matrices

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  • Addition
  • Conjugation
  • Scalar multiplication
  • Row operations
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  • Transpose and adjoint
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  • Definition of transpose of a matrix
  • Matrix transpose is an involution.
  • The conjugate of the transpose is the transpose of the conjugate.
  • Definition of adjoint (conjugate transpose)
  • The adjoint of a sum is the sum of the adjoints.
  • The adjoint of a matrix-scalar product is the product of the adjoint and the conjugate.
  • Matrix adjoint is an involution.
  • The transpose of a sum of matrices is the sum of the transposes.
  • Transpose commutes with scalar multiplication.
  • The transpose of a product of matrices is the product of the transposes in reverse order.
  • The adjoint of a product of matrices is the product of the adjoints in reverse order.
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Description:Added transpose and adjoint
# Transpose and adjoint

Put content here**Transpose:** The **transpose** of an $m \times n$ matrix $A$, denoted $A^T$, is the $n \times m$ matrix obtained by flipping rows and columns:
⏎
$$(A^T)_{ij} = a_{ji}$$
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**Example:**
$$\begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \end{pmatrix}^T = \begin{pmatrix} 1 & 4 \\ 2 & 5 \\ 3 & 6 \end{pmatrix}$$
⏎
**Properties:**
- $(A^T)^T = A$
- $(A + B)^T = A^T + B^T$
- $(AB)^T = B^T A^T$
- $(A^{-1})^T = (A^T)^{-1}$
⏎
**Adjoint (conjugate transpose):** For a complex matrix $A$, the **adjoint** $A^*$ (or $A^H$) is the conjugate of the transpose:
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$$A^* = (\overline{A})^T$$
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For real matrices, $A^* = A^T$. A matrix is **Hermitian** if $A^* = A$, and **symmetric** if $A^T = A$.

# Parents

* Operations on matrices
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