My last post interpreted the determinants of a few transformation matrices. For any matrix of a transformation, , is the area scaling factor from the pre-image to the image (addressing the second half of CCSSM Standard NV-M 12 on page 61 here), and the sign of indicates whether the pre-image and image have the same or opposite orientation.

These are not intuitively obvious, in my opinion, so it’s time for some proof accessible to middle and high school students.

**Setting Up: **Take the unit square defined clockwise by vertices (0,0), (0,1), (1,1), and (1,0) under a generic transformation where *A*, *B*, *C*, and *D* are real constants. Because the unit square has area 1, the area of the image is also the area scaling factor from the pre-image to the image.

As before, the image of the unit square under *T* is determined by

.

So the origin is its own image, (0,1) becomes (*C*,*D*), (1,1) becomes (*A*+*C*,*B*+*D*), and (1,0) becomes (*A*,*B*). As is a generic transformation matrix, nothing can be specifically known about the sign or magnitude of its components, but the image below shows one possible case of the image that maintains the original orientation.

When I was working on this problem the first time, I did not expect the image of the unit square to become a parallelogram under every possible (remember that all of its components are assumed constant), but that can be verified by comparing coordinates. To confirm the area scale change claim, I need to know the generic parallelogram’s area. I’ll do this two ways. The first is more elegant, but it invokes vectors–likely a precalculus topic. The second should be accessible to middle school students.

**Area (Method 1): **A parallelogram can be defined using two vectors. In the image above, the “left side” from the origin to (C,D) is –the 3rd dimensional component is needed to compute a cross product. Likewise, the “bottom side” can be represented by vector . The area of a parallelogram is the magnitude of the cross product of the two vectors defining the parallelogram (an explanation of this fact is here). Because ,

.

Cross products are not commutative, but reversing the order gives , which has the same magnitude. Either way, Claim #1 is true.

**Area (Method 2): **Draw a rectangle around the parallelogram with two sides on the coordinate axes, one vertex at the origin, and another at (*A*+*C*,*B*+*D*). As shown below, the area interior to the rectangle, but exterior to the parallelogram can be decomposed into right triangular and rectangular regions.

The absolute values are required because the magnitudes of the constants are unknown. This is exactly the same result obtained above. While I used a convenient case for the positioning of the image points in the graphics above, that positioning is irrelevant. No matter what the sign or relative magnitudes of the constants in , the parallelogram area can always be computed indirectly by subtracting the areas of four triangles and two rectangles from a larger rectangle, giving the same result.

Whichever area approach works for you, Claim #1 is true.

**Establishing Orientation: **The side from the origin to (*A*,*B*) in the parallelogram is a segment on the line . The position of (*C*,*D*) relative to this line can be used to determine the orientation of the image parallelogram.

- Assuming the two cases for shown above, the image orientation remains clockwise iff vertex (
*C*,*D*) is. Algebraically, this happens if .*above*

- When , the image orientation remains clockwise iff vertex (
*C*,*D*) is. Algebraically, this happens if .*below* - When and , the image is clockwise when , again making . The same is true for , , and .

In all cases, the pre-image and image have the identical orientation when and are oppositely oriented when .

*Q.E.D.*

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