4.5.23 · D4Linear Algebra (Full)

Exercises — Geometric interpretation — signed volume

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Everything below rests on the one formula the parent note derived from axioms:

Figure — Geometric interpretation — signed volume

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.

Figure — Geometric interpretation — signed volume
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

Concept Map

Recognition read the picture

Application plug the formula

Analysis explain why

Synthesis combine properties

Mastery prove and invent

a1 b2 minus a2 b1

multilinear alternating normalized

detAB and detcA and detInv

triangle is half parallelogram