For a small square matrix, a nonzero determinant means the matrix is invertible, while a zero determinant means it is singular: its rows or columns are dependent, and the associated linear transformation collapses area rather than preserving enough information to reverse the transformation. This connects the determinant test to whether a linear system has a unique solution; the focus is on familiar finite matrices, not abstract generalizations to linear operators.
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For a square matrix, calculate its determinant to test whether it is invertible:
Worked example
Determine whether
is invertible.
For a matrix, subtract the product of the bottom-left and top-right entries from the product of the diagonal entries:
Since , the matrix is invertible. Its transformation does not collapse area, and any system using this matrix as its coefficient matrix has a unique solution for each right-hand side. For instance,
has the unique solution .
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