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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 and uniqueness theorem
# Definition of reduced row echelon form of a matrix

Put content here**Definition:** The **reduced row echelon form** of a matrix $A$ is the **unique** matrix $R$ in RREF that is row-equivalent to $A$.
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**Uniqueness Theorem:** Every matrix is row-equivalent to exactly one matrix in reduced row echelon form.
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**Why this matters:** The RREF is a canonical form — it provides a unique "fingerprint" for the row space of a matrix. Two matrices have the same row space if and only if they have the same RREF.
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**Computation:** The RREF is found by applying Gauss-Jordan elimination: forward elimination to reach REF, then scaling pivots to 1, then backward elimination to clear entries above pivots.

# Parents

* Echelon matrices
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