1. A $2\times2$ matrix as an area machine
Enter a matrix $A=\begin{bmatrix}a&b\\c&d\end{bmatrix}$. The columns determine the image of the unit square.
2. Geometry of $A$
Blue: original unit square. Orange: transformed parallelogram. The orange area is $|\det(A)|$.
3. Compute a $3\times3$ determinant
Use this to compare direct determinant computation with elimination ideas.
4. Row-operation interpretation
Row replacement does not change determinant. Row swaps change sign. Row scaling multiplies determinant.
5. Eigenvalues and determinant
For triangular matrices, eigenvalues are the diagonal entries, so the determinant is their product.
6. Singular values and condition number
For singular values $\sigma_1\ge\sigma_2>0$, $|\det(A)|=\sigma_1\sigma_2$ and $\kappa_2(A)=\sigma_1/\sigma_2$.
7. Covariance volume
For a covariance matrix $\Sigma$, $\det(\Sigma)$ is generalized variance and $\sqrt{\det(\Sigma)}$ is proportional to ellipse volume.
8. Log determinant
For positive definite matrices, log determinant is more stable than determinant.
9. Independent-study practice tasks with answers
Answer: $6$. The map scales area by $6$ and preserves orientation.
Answer: $-1$. The map preserves area but reverses orientation.
Answer: No. Its determinant is $0$ and its columns are dependent.
Answer: $2(-1)(3)(5)=-30$.
Answer: $|\det(A)|=0.1$ and $\kappa_2(A)=1000$.