Convert matrices to Reduced Row Echelon Form with detailed step-by-step row operations. Perfect for solving linear systems, finding matrix rank, and understanding row operations.
A matrix is in Reduced Row Echelon Form (RREF) if it satisfies these conditions:
Example RREF: Every matrix has a unique RREF form, making it perfect for solving linear systems.
Linear Systems: If the RREF of an augmented matrix has a row like [0 0 ... 0 | c] where c ≠ 0, the system is inconsistent.
Exchange two rows to position pivots optimally.
Used to move the largest pivot element to the top for numerical stability.
Multiply a row by a non-zero constant k.
Used to make the leading entry (pivot) equal to 1.
Add a multiple of one row to another row.
Used to eliminate entries above and below pivots.