The matrix equation AX=B is the compact form of a linear system. If A is invertible (∣A∣=0), we can multiply both sides by A−1 to get X=A−1B — the unique solution.
The adjoint method computes A−1=∣A∣1adj(A), where adj(A) is the transpose of the cofactor matrix. Each cofactor is a 2×2 determinant with appropriate sign.
If ∣A∣=0, the system either has no solution or infinitely many solutions — the matrix method alone can’t distinguish these cases (you’d need to check the augmented matrix).
Alternative Method — Cramer’s Rule
x=DDx,y=DDy,z=DDz
where D=∣A∣=6, and Dx,Dy,Dz are obtained by replacing the respective column of A with B.
Dx=6211−1111−1=6(0)−1(−3)+1(3)=6, so x=6/6=1.
For CBSE boards, the inverse matrix method is preferred (more marks for showing the adjoint). For JEE, Cramer’s rule is faster for 3-variable systems. In either case, always verify the solution by substituting back into ALL three equations — CBSE marking scheme awards marks for verification.
Common Mistake
The most common error in the cofactor method: forgetting to transpose the cofactor matrix to get the adjoint. The cofactor matrix and the adjoint are NOT the same — adj(A)=CT. Another frequent mistake is getting signs wrong in cofactors — remember the checkerboard sign pattern: +,−,+ / −,+,− / +,−,+.
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