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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 theorem
# Theorem describing properties of the block matrices of the extended reduced row echelon form of a matrix

Put content here**Theorem:** Let $[A \mid I] \to [R \mid E]$ be the extended RREF of an $m \times n$ matrix $A$ of rank $r$. Then the block matrix $E$ has the following structure:
⏎
- The first $r$ rows of $E$ give the coefficients that express the pivot rows of $R$ as linear combinations of the rows of $A$.
- The last $m - r$ rows of $E$ form a basis for the **left null space** of $A$ (i.e., the null space of $A^T$).
⏎
**Explanation:** Since $EA = R$ and the last $m - r$ rows of $R$ are zero, the corresponding rows of $E$ satisfy $E_{\text{bottom}} A = 0$, meaning they are in the left null space.

# Parents

* Echelon matrices
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