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====Example==== These characterizing properties and their consequences listed above are both theoretically significant, but can also be used to compute determinants for concrete matrices. In fact, [[Gaussian elimination]] can be applied to bring any matrix into upper triangular form, and the steps in this algorithm affect the determinant in a controlled way. The following concrete example illustrates the computation of the determinant of the matrix <math>A</math> using that method: :<math>A = \begin{bmatrix} -2 & -1 & 2 \\ 2 & 1 & 4 \\ -3 & 3 & -1 \end{bmatrix}. </math> {| class="wikitable" |+ Computation of the determinant of matrix <math>A</math> |- | Matrix || <math>B = \begin{bmatrix} -3 & -1 & 2 \\ 3 & 1 & 4 \\ 0 & 3 & -1 \end{bmatrix} </math> || <math>C = \begin{bmatrix} -3 & 5 & 2 \\ 3 & 13 & 4 \\ 0 & 0 & -1 \end{bmatrix} </math> || <math>D = \begin{bmatrix} 5 & -3 & 2 \\ 13 & 3 & 4 \\ 0 & 0 & -1 \end{bmatrix} </math> || <math>E = \begin{bmatrix} 18 & -3 & 2 \\ 0 & 3 & 4 \\ 0 & 0 & -1 \end{bmatrix} </math> |- | Obtained by || add the second column to the first || add 3 times the third column to the second || swap the first two columns || add <math>-\frac{13} 3</math> times the second column to the first |- | Determinant || <math>|A| = |B|</math> || <math>|B| = |C|</math> || <math>|D| = -|C|</math> || <math>|E| = |D|</math> |} Combining these equalities gives <math>|A| = -|E| = -(18 \cdot 3 \cdot (-1)) = 54.</math>
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