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Consistency of a linear system
Short answer
Row reduce the augmented matrix: rank(A) = rank([A|B]) = 3, so the system is consistent. Back substitution yields the unique solution x = −2, y = 0, z = 3.
Test the consistency of the system x − 2y + 2z = 4, 3x + y + 4z = 6, x + y + z = 1. If found consistent, solve the system completely.
A system AX = B is consistent if rank A = rank [A|B]. If this common rank equals the number of unknowns, the solution is unique.
The augmented matrix is
[A|B] = [1 −2 2 | 4]
[3 1 4 | 6]
[1 1 1 | 1]
Row reduction
R₂ → R₂ − 3R₁, R₃ → R₃ − R₁:
[1 −2 2 | 4]
[0 7 −2 | −6]
[0 3 −1 | −3]
R₂ → R₂ − 2R₃:
[1 −2 2 | 4]
[0 1 0 | 0]
[0 3 −1 | −3]
R₃ → R₃ − 3R₂:
[1 −2 2 | 4]
[0 1 0 | 0]
[0 0 −1 | −3]
Consistency
rank A = 3 and rank [A|B] = 3 (three non-zero rows). Since the ranks are equal, the system is consistent. The rank equals the number of unknowns (3), so the solution is unique.
Solution (back substitution)
- −z = −3 ⇒ z = 3
- y = 0
- x − 2(0) + 2(3) = 4 ⇒ x = −2
Check: 3(−2) + 0 + 4(3) = 6 ✓; −2 + 0 + 3 = 1 ✓.
Answer: x = −2, y = 0, z = 3.
✓ Answer checked by Claude Opus 5.5 (high effort)
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