Skill: Interpret the determinant as a test of invertibility

Explanation and Free Practice Resources

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.

Detailed Explanation: Interpret the determinant as a test of invertibility

For a square matrix, calculate its determinant to test whether it is invertible:

  • If det⁡(A)≠0\det(A)\ne 0, then AA is invertible. Its rows and columns are independent, and the system Ax=bA\mathbf{x}=\mathbf{b} has exactly one solution for every b\mathbf{b}.
  • If det⁡(A)=0\det(A)=0, then AA is singular. Its rows or columns are dependent, so the transformation collapses area and loses information.

Worked example

Determine whether

A=(2132)A=\begin{pmatrix}2&1\\3&2\end{pmatrix}

is invertible.

For a 2×22\times2 matrix, subtract the product of the bottom-left and top-right entries from the product of the diagonal entries:

det⁡(A)=(2)(2)−(1)(3)=4−3=1.\det(A)=(2)(2)-(1)(3)=4-3=1.

Since det⁡(A)=1≠0\det(A)=1\ne 0, 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,

(2132)(xy)=(58)\begin{pmatrix}2&1\\3&2\end{pmatrix} \begin{pmatrix}x\\y\end{pmatrix} = \begin{pmatrix}5\\8\end{pmatrix}

has the unique solution x=2, y=1x=2,\ y=1.

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Matrices - Inverse from Determinant and Adjoint (2x2, without Formula) - Full Matrix


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