55. Linear System Special Cases
When you reduce an augmented matrix to REF, rows of all zeros (or zero coefficients with non-zero RHS) signal one of three structural situations.
55.1. 1. Dependent equations
One equation is a linear combination of others — they carry the same information.
The second equation is half the first — same line. After row reduction:
The zero row means one equation was redundant. The system has infinitely many solutions (a whole line in ).
55.2. 2. Underdetermined systems
More variables than independent equations — fewer constraints than unknowns.
Two equations in three unknowns. After row reduction:
Both equations are independent, but is a free variable. Infinitely many solutions (a line in ).
55.3. 3. Inconsistent systems
A zero coefficient row with a non-zero RHS — translates to for , which is impossible.
(Same left-hand side scaled by , but right-hand side doesn’t scale to match.)
The second row reads . No solution.
55.4. See also
- Row Echelon Form
- Linear System Solutions — Rouché–Capelli summary
- Rank — diagnoses dependence