Overview
Row reduction is a fundamental technique in linear algebra that simplifies matrices to make solving systems of equations easier. By transforming matrices into row echelon or reduced row echelon form, we can clearly see the relationships between variables and find solutions efficiently. Understanding...
Key Terms
Example: A 2x3 matrix has 2 rows and 3 columns.
Example: In row echelon form, leading coefficients are 1 and below are zeros.
Example: The matrix [[1,0,2],[0,1,-1]] is in reduced row echelon form.
Example: Swapping two rows is an elementary row operation.
Example: y = 2x + 3 is a linear equation.
Example: x + y = 10 and x - y = 2 form a system of equations.