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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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