Definition: Row operations (elementary row operations) are three fundamental operations that can be performed on the rows of a matrix without changing the solution set of the associated linear system:
- Row swap: Swap two rows: $R_i \leftrightarrow R_j$
- Row scaling: Multiply a row by a nonzero scalar: $R_i \leftarrow cR_i$ where $c \neq 0$
- Row replacement: Add a multiple of one row to another: $R_i \leftarrow R_i + cR_j$ where $i \neq j$
Example: Starting with:
$$\begin{pmatrix} 1 & 2 & 3 \\ 2 & 4 & 6 \\ 0 & 1 & 1 \end{pmatrix}$$
Applying $R_2 \leftarrow R_2 - 2R_1$:
$$\begin{pmatrix} 1 & 2 & 3 \\ 0 & 0 & 0 \\ 0 & 1 & 1 \end{pmatrix}$$
Row operations are used in Gaussian elimination to transform a matrix into row echelon form or reduced row echelon form (RREF).
Parents
Children
- Definition of row operations on a matrixElementary row operations are: interchange two rows; multiply one row by a nonzero scalar; add a scalar multiple of...
- Definition of pivotA pivot is the leading nonzero entry in a nonzero row of a row-echelon matrix. Its column identifies a basic variable...
- Definition of pivot columnA pivot column is a column containing a pivot in an echelon form. Its index is invariant under row reduction. The...
- Definition of pivot positionA pivot position is the row-and-column location of a leading entry in echelon form. It marks a leading variable when...
- Definition of row equivalent matricesMatrices $A$ and $B$ are row equivalent if a finite sequence of elementary row operations transforms one into the...
- Row equivalence is an equivalence relationRow equivalence is reflexive (use no operations), symmetric (reverse the operations), and transitive (concatenate two...
- Definition of leading entry in a row of a matrixThe leading entry of a nonzero row is its first nonzero entry when read from left to right. A zero row has no leading...
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