48. Row Echelon Form
A matrix is in Row Echelon Form (REF) if it satisfies all of:
- Pivot — each non-zero row has a leading non-zero entry called a pivot
- Zeros below pivots — each pivot has zeros below it in its column
- Rightward staircase — each pivot is strictly to the right of the pivot in the row above
- Zero rows at bottom — any all-zero rows appear at the bottom
48.1. Elementary row operations
The three operations that don’t change the solution set of a system, used to drive a matrix toward REF:
- Row swap: exchange two rows
- Row scale: multiply a row by a non-zero scalar
- Row replacement: add a multiple of one row to another
These are applied via Gaussian elimination.
Example
System:
Augmented matrix:
Step 1: :
Step 2: , :
Step 3: :
Step 4: :
Step 5: (now in REF):
Step 6: back-substitute.
48.2. REF vs RREF
REF is not unique. The stronger RREF (Reduced Row Echelon Form) — pivots equal and zeros above as well as below — is unique.
48.3. See also
- RREF — canonical reduced form
- Linear System Solutions — unique / none / infinite
- Linear System Special Cases — when zero rows appear
- Gaussian Elimination — the algorithm