Exercises — Geometric interpretation — signed volume
Everything below rests on the one formula the parent note derived from axioms:

Level 1 — Recognition
Recall Solution 1.1
WHAT: we judge sign from the turn and size from the box. WHY: turning from "right" () to "up" () is a CCW quarter-turn → positive. WHAT IT LOOKS LIKE: an upright rectangle — the shaded (mint) box in Figure 1, the one bounded by the right-pointing and up-pointing arrows — with area . So the answer is . Check: . ✓
Recall Solution 1.2
(a) The box is flattened onto a line (2D) or plane (3D) — zero volume. (b) The columns are linearly dependent (one is a combination of the others). (c) The map is non-invertible — it squashes information, so it cannot be undone. See Invertibility and the inverse matrix and Linear independence and rank.
Recall Solution 1.3
False. The magnitude is the physical volume; the minus sign only records that orientation was reversed (a mirror flip). Negative determinants are ordinary and meaningful.
Level 2 — Application
Recall Solution 2.1
WHAT: apply with . Positive → orientation preserved; the box has area .
Recall Solution 2.2
. The second column is parallel to the first, so the parallelogram collapses to a line — zero area, dependent columns.
Recall Solution 2.3
WHY the triple product: gives a vector whose length is the base-parallelogram's area and whose direction is the base's normal; dotting with multiplies by the height along that normal → base × height = volume (see Cross product and scalar triple product). First with : Then dot with : Signed volume : magnitude , orientation reversed (a left-handed frame). See Orientation and handedness of bases.
Recall Solution 2.4
WHY : multiplying the whole matrix by scales all three columns, and each scaling multiplies the volume by : .
Level 3 — Analysis
Recall Solution 3.1
Notation: write for the signed area of the box with edge columns — this is exactly , just viewed as a function of its two columns. The multilinearity axiom (recap): the parent note established that signed area is multilinear — it is additive in each column separately, (and likewise in the second slot). This is what lets us break a sum inside one slot into two separate determinants — it is the concrete engine of the expansion below. The alternating axiom (recap): the parent note also established that signed area is alternating — a box with two equal edges is flat, so for any . Algebra: apply the alternating axiom to the vector in both slots, so . Now expand by multilinearity — split the first slot's sum, then split each resulting second slot's sum: The two equal-argument terms and vanish by the alternating axiom, leaving . Geometry: swapping the edges reverses the sense of the turn (CCW ↔ CW), so the same box gets the opposite sign — a mirror flip. Numeric check: while . ✓
Recall Solution 3.2
WHY this formula for : with : Interpretation: a rotation never stretches or flips anything — a spun square keeps its area () and its handedness (sign ). The Pythagorean identity is exactly the algebra of "rigid turn."
Recall Solution 3.3
for every . Geometry: the sheared unit square becomes a parallelogram with the same base and same height — only the top slides horizontally. Area = base × height is untouched by the slide, so the determinant stays no matter how extreme the shear.
Level 4 — Synthesis
Recall Solution 4.1
WHY multiplicativity: doing map then map scales volume by then by , so the composite scales by the product. Since and : This fails exactly when — a flattened map cannot be undone, so no inverse exists (Invertibility and the inverse matrix). Example: if , then .
Recall Solution 4.2
WHY the Jacobian determinant: locally every smooth map looks linear, and its linear part scales tiny areas by — that is precisely the factor that appears in the change-of-variables integral (Change of variables and the Jacobian). Orientation is preserved (sign ).
Recall Solution 4.3
WHY the product: the determinant equals the product of eigenvalues, because along each eigendirection the map scales by that eigenvalue, and volume is the product of the per-direction stretches (Eigenvalues — product equals determinant). Magnitude : areas are stretched sixfold. Sign : orientation is reversed — the single negative eigenvalue reflects the plane along its eigendirection.
Level 5 — Mastery
Recall Solution 5.1
WHAT: shift to the origin by using edge vectors and . WHY: translation does not change area, and the two edges span a parallelogram whose signed area is . The triangle is exactly half that parallelogram (the diagonal cuts it in two congruent triangles). The absolute value discards orientation because a physical triangle's area is positive. Compute: , .
The figure below turns Solution 5.1 into a picture. It contains two nested shapes sharing the corner : the larger parallelogram (the pale butter-yellow region, area ) spanned by the two edge vectors , and inside it the triangle (the lavender-purple region, area ) — exactly the half you keep. The diagonal running from to splits the parallelogram into two congruent triangles; that split is why the factor appears, and why the absolute value is needed only to strip the orientation sign off a physical area. Even without color, read it as: a slanted four-sided box with a triangle occupying half of it, corner at bottom-left.

Recall Solution 5.2
Logic: three points are collinear exactly when the triangle they form has area , i.e. the edge vectors and are parallel → their determinant is . , : The determinant is , so the points are collinear — the "triangle" is flat.
Recall Solution 5.3
We need with both columns longer than the unit length. Try Column lengths are and — both exceed . Determinant means area- and orientation-preserving, yet it is not a rotation (rotations keep every length; here the columns are stretched to and , so lengths change — a rotation is impossible). What map is it, then? It is a general area-preserving shearing map. Concretely, factor it into elementary shears: a horizontal shear followed by a vertical shear (each has determinant , and ). So slides space sideways, then slides it upward, distorting the unit square into a slanted parallelogram of the same area and the same handedness — a pure shear-composite, never a rigid rotation. Any integer matrix with (an element of ) gives such a map.
Active Recall
Recall Cover the answers and test yourself
Signed area of edges in 2D ::: for ::: (sign flips if and is odd) ::: (needs ) ::: Triangle area from vertices ::: half the absolute value of the determinant of its two edge vectors Collinearity test for three points ::: edge-vector determinant equals
Connections
- Geometric interpretation — signed volume
- Determinant — definition and cofactor expansion
- Cross product and scalar triple product
- Linear independence and rank
- Invertibility and the inverse matrix
- Change of variables and the Jacobian
- Eigenvalues — product equals determinant
- Orientation and handedness of bases