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). …
Equating corresponding entries of the two equal matrices gives a=2,b=4,c=1,d=3.
The governing rule is: two matrices are equal only when their corresponding entries are equal. So this single matrix equation splits into four ordinary equations, one per position.
Set up both sides
Given
3[acbd]=[a−162d]+[4c+da+b3].
Add the two matrices on the right entry by entry, and multiply the left matrix by the scalar 3:
Method: Solving a matrix equation by simplifying both sides then equating entries
For equations mixing scalar multiplication and matrix addition (e.g. 3[acbd]=[…]+[…]), first reduce each side to a single matrix, then use equality of matrices to get scalar equations in the unknowns.
Steps
Step 1: Simplify the left-hand side.
Carry the scalar into the matrix, multiplying every entry.
Step 2: Simplify the right-hand side.
Add the matrices there entrywise, so each side is now one matrix.