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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
  • Block matrices
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  • Nilpotent matrices
  • Definition of orthogonal matrix
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  • Definition of Vandermonde matrix
  • Definition of Markov matrix
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  • A matrix with real entries has eigenvalues occurring in conjugate pairs.
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  • 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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  • Definition of elementary matrix
  • A nonsingular matrix can be written as a product of elementary matrices.
  • Row operations are given by multiplication by elementary matrices.
  • Elementary matrices are invertible/nonsingular.
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Description:Added elementary matrices
# Elementary matrices

Put content here**Definition:** An **elementary matrix** is a matrix obtained by performing a single elementary row operation on the identity matrix. There are three types, corresponding to the three types of row operations:
⏎
1. **Row swap** $E_{swap}$: swap rows $i$ and $j$ of $I$
2. **Row scaling** $E_{scale}$: multiply row $i$ of $I$ by nonzero scalar $c$
3. **Row replacement** $E_{replace}$: add $c$ times row $j$ to row $i$ of $I$
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**Key property:** Left-multiplying a matrix $A$ by an elementary matrix performs the corresponding row operation on $A$:
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$$EA = \text{result of applying the row operation to } A$$
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**Properties:**
- Every elementary matrix is invertible
- The inverse of an elementary matrix is also elementary
- Any invertible matrix can be expressed as a product of elementary matrices
⏎
Elementary matrices are fundamental in understanding Gaussian elimination and matrix factorization.

# Parents

* Particular types of matrices
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