Solving Linear Equations Using Matrix Inverse
A system of linear equations can be written as AX = B. If |A| ≠ 0, the unique solution is X = A^-1B.
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Student-friendly explanation
In the matrix method, the coefficient matrix A must match the fixed order of variables in X and the equation order used in B. Once the system is written as AX = B, the inverse method is valid only when A is square and |A| ≠ 0. Multiplying both sides on the left by A^-1 gives A^-1AX = A^-1B, so IX = A^-1B and therefore X = A^-1B. This left multiplication is important because matrix multiplication is not generally commutative; B A^-1 is either undefined or incorrect in most exam setups. If |A| = 0, the system must be tested for consistency instead of using the inverse formula for a unique answer.
How to write this in exams
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Start with the exact idea
A system of linear equations can be written as AX = B. If |A| ≠ 0, the unique solution is X = A^-1B.
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Then show how to use it
Arrange equations in a fixed variable order. Form A, X, and B. Compute |A|. If non-zero, find A^-1. Multiply A^-1B in the correct order. State the values of variables and, if time permits, substitute back to check.
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Add one concrete example
The equations 2x + y = 5 and x - y = 1 give A = [[2,1],[1,-1]], X = [[x],[y]], B = [[5],[1]]. Since |A| = -3 ≠ 0, X = A^-1B gives x = 2 and y = 1.
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Avoid this incomplete answer
Multiplying BA^-1 or changing the order of variables midway.
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For AX = B, what is X if |A| ≠ 0?
If |A| ≠ 0, A inverse exists, so multiply AX = B on the left by A^-1 to get X = A^-1B.
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