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  • Particular types of matrices

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  • Echelon matrices
  • Definition of unit matrix
  • Definition of permutation matrix
  • Elementary matrices
  • Triangular matrices
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  • Symmetric matrices
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  • Definition of orthogonal matrix
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  • Definition of band matrix
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  • The eigenvalues of a triangular matrix are the entries on the main diagonal.
  • A matrix with real entries has eigenvalues occurring in conjugate pairs.
  • Hermitian matrices have real eigenvalues.
  • Distinct eigenvalues of a Hermitian matrix have orthogonal eigenvectors.
  • Definition of positive-definite matrix
  • Formula for the determinant of a 2-by-2 matrix.
  • Formula for the determinant of a 3-by-3 matrix.
  • The determinant of a triangular matrix is the product of the entries on the diagonal.
  • Theorem describing the determinants of elementary matrices.
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Description:Added definition of permutation matrix
# Definition of permutation matrix

Put content here**Definition:** A **permutation matrix** is a square binary matrix obtained by permuting the rows (or columns) of the identity matrix. Each row and each column contains exactly one 1, with all other entries being 0.
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**Example:** Permuting rows of $I_3$:
$$P = \begin{pmatrix} 0 & 0 & 1 \\ 1 & 0 & 0 \\ 0 & 1 & 0 \end{pmatrix}$$
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**Properties:**
- $P^{-1} = P^T$ (permutation matrices are orthogonal)
- $\det(P) = \pm 1$ (sign depends on permutation parity)
- Multiplying $PA$ permutes the rows of $A$
- Multiplying $AP^T$ permutes the columns of $A$
- $P^k = I$ for some positive integer $k$
⏎
Permutation matrices are used in **LU decomposition with partial pivoting** ($PA = LU$) and in representing permutations as linear transformations.

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* Particular types of matrices
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