Solving a System of Equations by the Matrix Method
A system of linear equations can be written as a single matrix equation and solved in one clean step using the inverse of a matrix. This is the Class-12 "matrix method" for simultaneous equations.
If det(A)=0, then A−1 exists, and multiplying both sides on the left by A−1 gives
X=A−1B,where A−1=det(A)1adj(A).
So you compute det(A), then adj(A), form A−1, and multiply by B. The single column X=A−1B hands you x, y, z at once, and because A−1 is unique, the solution is unique.
Watch out
Multiply in the correct order: X=A−1B, not BA−1. Matrix multiplication is not commutative, and BA−1 is not even defined here.
When det(A)=0
If det(A)=0, A−1 does not exist and the inverse method fails. The system is then either inconsistent (no solution) or has infinitely many solutions. Decide which by computing (adjA)B:
(adjA)B=O → no solution (inconsistent).
(adjA)B=O → infinitely many solutions (consistent, dependent). …
Method: Solving a 3-Variable System by the Matrix (Adjoint) Method
This method solves a system of three linear equations in three unknowns by writing it as AX=B and computing X=A−1B using the adjoint, since no simple 2×2-style shortcut exists at this size.
Steps
Step 1: Write the system as AX=B
Collect coefficients into a 3×3 matrix A, unknowns into X=(x,y,z)T, constants into B.
Step 2: Compute det(A) by cofactor expansion
Expand along whichever row or column has the most convenient entries (zeros or small numbers). If det(A)=0, the matrix method fails here — check consistency by another route instead.
Step 3: Compute all nine cofactors Cij
Delete each row/column pair, evaluate the resulting 2×2 minor, and attach the checkerboard sign (−1)i+j.
Step 4: Transpose the cofactor matrix to get adj(A)
Mistake 1: A sign or arithmetic slip in one of the nine cofactors, carried through to a wrong inverse
Why it's wrong: computing det(A) and all nine cofactors for a 3×3 system involves many small 2×2 determinants — a single sign error (e.g. mishandling a negative entry like −2 or −1 in the coefficient matrix) silently produces a wrong adjoint and a wrong final solution, with no obvious warning sign. Correct approach: after finding X, substitute back into all three original equations — a genuine arithmetic slip almost always fails at least one of the three checks.
Mistake 2: Dividing by det(A) too early, creating messy fractions that then get mis-simplified …