2 × 2 determinant
\[\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc\]
Main diagonal product minus the other diagonal product.
Determinants
For a \(2\times2\) matrix,
\[\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc.\]
For a \(3\times3\) matrix we expand along any row or column, using the sign pattern
\[\begin{vmatrix} + & - & + \\ - & + & - \\ + & - & + \end{vmatrix}\]
Along the first row: \(|A| = a_{11}M_{11} - a_{12}M_{12} + a_{13}M_{13}\), where \(M_{ij}\) is the 2 × 2 determinant left after deleting row \(i\) and column \(j\).
\[\begin{vmatrix} a & b \\ c & d \end{vmatrix} = ad - bc\]
Main diagonal product minus the other diagonal product.
\[|kA| = k^{n}|A| \quad (A \text{ of order } n)\]
Each of the \(n\) rows contributes a factor \(k\). Also \(|AB| = |A||B|\) and \(|A^T| = |A|\).
\[|A^T|=|A|,\quad |AB|=|A|\,|B|,\quad |kA|=k^n|A|,\quad |A^{-1}|=\frac{1}{|A|}\]
A square matrix is invertible exactly when \(|A| \ne 0\).
Choose the row or column with the most zeros – fewer calculations, fewer slips.
For a 3 × 3 matrix with \(|A| = 4\), claiming \(|2A| = 8\).
Correct: \(|kA| = k^n|A|\), so \(|2A| = 2^3 \times 4 = 32\).
Expanding \(a_{11}M_{11} + a_{12}M_{12} + a_{13}M_{13}\) with all plus signs.
Correct: use + − + along row 1 (chessboard pattern), i.e. multiply by cofactors, not minors.
For a \(3\times3\) matrix, \(|2A|=2^3|A|=8|A|\), not \(2|A|\). A scalar multiplies every row.
Evaluate \(\begin{vmatrix} 2 & 3 & 1 \\ 0 & 1 & 4 \\ 1 & 0 & 2 \end{vmatrix}\).
Final Answer: \(15\)
A fresh set of questions from this topic. Change answers freely – solutions appear after you submit.
Start Practice2×2: \(ad - bc\). 3×3: expand with + − + signs. \(|kA| = k^n|A|\). Singular ⇔ \(|A| = 0\).
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