Linear Algebra: Row Space, Null Space, Determinants, and Gram-Schmidt
Finding the Basis of a Row Space
The easiest way to find the basis of a row space is to reduce matrix A to Reduced Row Echelon Form (RREF). The nonzero row vectors of R (which contain the leading 1s, or pivots) form a basis for row(A).
Finding the Basis of the Kernel
The following four steps outline the most effective method for finding a basis for null(A):
- Reduce A to RREF (R): Find the Reduced Row Echelon Form (R) of the matrix A.
- Solve the Homogeneous System: Use the RREF, R, to solve the equivalent homogeneous system Rx=0.
- Identify and Parameterize Variables:
- Identify the leading variables (those corresponding to columns containing a leading 1 or pivot in the RREF) and the free variables.
- Solve for the leading variables in terms of the free variables.
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