Write the system as a matrix equation , then multiply both sides on the left by . This gives , provided that the coefficient matrix is invertible.
The Method
For the system
write
Here, is the coefficient matrix, is the column matrix of unknowns, and contains the constants. The inverse exists only if the determinant is non-zero. For a matrix,
If , multiply the original equation on the left by :
Because and , the solution is
Conceptually, left multiplication by undoes the transformation performed by . The identity matrix then leaves the unknown vector unchanged. The order is essential because matrices generally represent transformations that act in sequence, and reversing that sequence changes the result.
Worked Example
Solve and . The matrix equation is
The determinant is
Since it is non-zero, the inverse exists. Using a GDC to evaluate the matrix product,
Therefore, and . Check by substitution: and , so both original equations are satisfied.
For a larger system, the same reasoning applies: enter and into the GDC, calculate the inverse product, and retain full precision until the final answer.
A common misconception is that matrix multiplication order does not matter. Matrix multiplication is not commutative, so calculate , not . Also, if , do not attempt to use an inverse because does not exist.
IB Exam Technique
This method belongs to AHL 1.14: Introduction to matrices, so it is HL-only. In a Paper 1 short-response or Paper 2 extended-response question, define , , and before using the GDC. Writing the correct matrix equation and inverse-matrix product provides essential method evidence; a bare calculator answer may not receive full credit.
If asked to verify the solution, substitute every value into every original equation. This demonstrates that the column vector satisfies the whole system, not merely one equation.
