Matrices & Transformations · Lesson 1 of 3 · ~6 min

Matrices move space

Predict

The shear matrix $\begin{pmatrix}1 & 1\\ 0 & 1\end{pmatrix}$ slides the top of the unit square one full unit sideways. What happens to the square's area?

Hold that thought. Press Shear in the instrument and watch the unit square and the det A readout.
Try
Try itPress Identity, then Shear. The unit square leans into a parallelogram while det A holds at $1.00$. Then drag the four sliders one at a time and watch which arrow each one steers.
Notice

The shear leans the square over, yet det A still reads $1.00$ — same base, same height, same area. The sliders reveal who is in charge: a and c steer the e1 arrow, b and d steer the e2 arrow, and the whole lattice follows those two arrows. From the shear, drag d up to $2.00$: the parallelogram doubles in height and det A climbs to $2.00$ with it.

Explain

The four numbers are two landing spots. The first column $(a, c)$ is where $\mathbf{e}_1 = (1,0)$ lands; the second column $(b, d)$ is where $\mathbf{e}_2 = (0,1)$ lands. Linearity forces everything else — the point $(x, y)$ must land on $x$ copies of the first column plus $y$ copies of the second:

$$\begin{pmatrix} a & b \\ c & d \end{pmatrix}\begin{pmatrix} x \\ y \end{pmatrix} = x\begin{pmatrix} a \\ c \end{pmatrix} + y\begin{pmatrix} b \\ d \end{pmatrix}$$

The determinant $\det A = ad - bc$ is the area report. The unit square becomes a parallelogram of area $|\det A|$, and every region in the plane scales by that same factor; the sign records a flip. The shear's columns are $(1, 0)$ and $(1, 1)$ — base $1$, height $1$ — so the lean costs no area at all.

Apply
Checkpoint — prove it to yourself

In the instrument, dragging a and c moves one arrow and the lattice follows. Under $A = \begin{pmatrix} a & b\\ c & d\end{pmatrix}$, where does $\mathbf{e}_1 = (1,0)$ land?

Press Scale: the matrix is $\begin{pmatrix}1.5 & 0\\ 0 & 0.7\end{pmatrix}$ and $\det A$ reads $1.05$. A region of area $2$ goes in. What area comes out?

Transfer: press Reflect, which loads $\begin{pmatrix}1 & 0\\ 0 & -1\end{pmatrix}$, and $\det A$ reads $-1.00$. What does the minus sign say about the motion?

Key idea

A matrix is two landing spots plus the linearity rule. Read the columns to see where the basis arrows go; read $\det A = ad - bc$ to see what happens to every area — magnitude for size, sign for a flip.

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