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  • Echelon matrices

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  • Example of putting a matrix in echelon form
  • Example of putting a matrix in echelon form and identifying the pivot columns
  • Definition of (echelon matrix/matrix in (row) echelon form)
  • Gauss-Jordan procedure to put a matrix into reduced row echelon form
  • Example of (echelon matrix/matrix in (row) echelon form)
  • Definition of (row) echelon form of a matrix
  • Definition of matrix in reduced row echelon form
  • Definition of reduced row echelon form of a matrix
  • Definition of row reduce a matrix
  • Example of row reducing a 3-by-3 matrix
  • Example of row reducing a 4-by-4 matrix
  • Every matrix is row-equivalent to a matrix in reduced row echelon form.
  • Every matrix is row-equivalent to only one matrix in reduced row echelon form.
  • Definition of extended reduced row echelon form of a matrix
  • Theorem describing properties of the block matrices of the extended reduced row echelon form of a matrix
  • Theorem describing spaces associated to the block matrices of the extended reduced row echelon form of a matrix
  • Theorem describing the dimension of spaces associated to the block matrices of the extended reduced row echelon form of a matrix
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Description:Added definition
# Definition of extended reduced row echelon form of a matrix

Put content here**Definition:** The **extended reduced row echelon form** of an $m \times n$ matrix $A$ is obtained by augmenting $A$ with the $m \times m$ identity matrix and row-reducing:
⏎
$$[A \mid I_m] \xrightarrow{\text{row reduce}} [R \mid E]$$
⏎
where $R$ is the RREF of $A$ and $E$ is the product of elementary matrices that performed the reduction.
⏎
**Interpretation:** The matrix $E$ records the cumulative effect of all row operations. If $A$ is square and invertible, then $R = I$ and $E = A^{-1}$. For general matrices, $E$ provides information about the null space and left null space of $A$.

# Parents

* Echelon matrices
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