4.1 The Determinant as Area
The determinant of the matrix with columns and is the number . The definition earns its keep through two facts you can watch. First, is the area of the image of the unit square — and therefore the factor by which the transformation multiplies the area of any region, since any region is well approximated by a fine mosaic of little squares, each of which is scaled by the same factor. Second, the sign of records whether the plane kept its orientation or was flipped over.
The figure below is built to be driven through the interesting event. It starts at , , , , where : a sheared parallelogram with exactly the area of the gray unit square beneath it.
Explore in 3D (opens in a new tab)Explore the figure
- At the defaults, compare the parallelogram with the gray unit square. The shapes differ, but the areas match: . A matrix can distort violently while preserving area exactly.
- Drag up to . Now ; judge by eye that the parallelogram holds about three gray squares.
- Drag slowly down to . Watch the parallelogram thin and die: at the blue edge is exactly half the red edge , the columns are dependent, and .
- Keep going to . The parallelogram reopens — but flipped. Before the collapse, sweeping from the red edge to the blue edge went one way around; now it goes the other. Here : area again, orientation reversed.
Sign is orientation
Why does the sign change mean a flip? For edge vectors and , the quantity is positive exactly when the second edge lies counterclockwise from the first — the same relative position holds to . A positive-determinant matrix moves both basis vectors while preserving that relative arrangement; a negative determinant means the images are in the reversed arrangement, which no amount of rotating or stretching within the plane can produce — the plane must have been turned over. And because your slider moved continuously, the only route from to passed through : you cannot flip a page without, at some instant, seeing it edge-on.
Determinant zero is the same event Chapter 2 called dependence and Chapter 3 called collapse, viewed once more. Dependent columns span a line instead of a plane; the transformation crushes two dimensions of input into one dimension of output; distinct points are forced to share images, so no inverse transformation can exist. A matrix is invertible exactly when its determinant is nonzero — a numerical test for a geometric catastrophe.
An original work of XYZ Homework, built around interactive XYZ 3D figures. Its chapter sequence is aligned to Interactive Linear Algebra (Margalit & Rabinoff, Georgia Tech, GNU FDL); this work is original, copies nothing from it, and is not affiliated with or endorsed by its authors. License: CC-BY-NC-SA-4.0.