In this lecture, we will practice solving systems of linear equations with different cases: unique solutions, no solutions, infinite solutions, homogeneous, non-homogeneous, and using the rank concept.
Solve the system:
x + y + z = 6
2x – y + z = 3
x + 2y – z = 3
Solution:
Coefficient matrix A = , B = (6, 3, 3)T.
By elimination:
→ z = 2, y = 1, x = 3.
Solution: (x, y, z) = (3, 1, 2).
Solve the system:
x + y + z = 4
2x + 2y + 2z = 8
3x + 3y + 3z = 12
Solution:
All equations are multiples of the first → rank(A) = 1 < 3. So infinite solutions exist.
General solution: x = t, y = s, z = 4 – t – s, where t, s ∈ ℝ.
Solve the system:
x + y + z = 1
2x + 2y + 2z = 2
x + y + z = 5
Solution:
First and third equations contradict (same LHS, different RHS). → rank(A) ≠ rank([A|B]). No solution (inconsistent system).
Solve the system:
x + y + z + w = 10
2x – y + z + w = 8
x + 2y – z + w = 6
x + y + z – w = 4
Solution (sketch):
Coefficient matrix is 4×4 and invertible → rank = 4. Solving step by step: → (x, y, z, w) = (3, 2, 1, 4).
Solve the system:
x + y + z + w = 5
2x + 2y + 2z + 2w = 10
3x + 3y + 3z + 3w = 15
4x + 4y + 4z + 4w = 20
Solution:
All equations are multiples of the first → rank(A) = 1 < 4. → Infinite solutions exist. General solution: x = t₁, y = t₂, z = t₃, w = 5 – t₁ – t₂ – t₃.