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). …
BA=6I, so B−1=61A; the system is BX=C with C=(3,17,7)T, giving X=61AC=(2,−1,4)T, i.e. x=2,y=−1,z=4.
The idea
If the product of two matrices is a scalar times the identity, each is (a scalar multiple of) the other's inverse. Computing BA first hands us B−1 for free — and it is B, not A, that is the coefficient matrix of the given system.
Step 1 — Compute BA
BA=120−1310422−4222−1−4−45.
Entry by entry (row of B times column of A):
Row 1: 2+4+0=6, 2−2+0=0, −4+4+0=0.
Row 2: 4−12+8=0, 4+6−4=6, −8−12+20=0.
Row 3: 0−4+4=0, 0+2−2=0, 0−4+10=6.
BA=600060006=6I⟹B−1=61A.
Step 2 — Match the system to B
The equations y+2z=7,x−y=3,2x+3y+4z=17, reordered as
Method: Using a Given Matrix Product Equal to a Scalar Multiple of I to Find an Inverse
Use this method whenever a question hands you two matrices A and B and asks you to compute their product before solving a system — the product often reveals an inverse for free, without ever computing cofactors or an adjoint.
Steps
Step 1: Compute the matrix product exactly as given
Multiply the two matrices (row of the first times column of the second, entry by entry) and simplify every entry fully before looking for a pattern.
Step 2: Recognise a scalar multiple of the identity
If the product turns out to be kI for some constant k (the same number k down the diagonal, zeros everywhere else), that is a strong structural clue: it means the two matrices are inverses of each other, up to that scalar.
If BA=kI, then B(k1A)=I⟹B−1=k1A.
Step 3: Identify the true coefficient matrix of the system …
Mistake 1: Using A instead of B as the coefficient matrix of the system
Why it's wrong: the question computes BA first, which tempts a student to treat A as "the" matrix to invert for the system. But once the equations are written with all three variables, the coefficient matrix is actually B — so the useful fact from BA=6I is B−1=61A, and the system must be solved as BX=C, not by inverting A directly.
Mistake 2: Not reordering/completing the equations before matching rows to B …