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250 Chapter 3. Maps Between Spaces<br />

3.VI Projection<br />

The prior section describes the matrix equivalence canonical form as expressing a<br />

projection and so this section takes the natural next step of studying projections.<br />

However, this section is optional; only the last two sections of Chapter Five<br />

require this material. In addition, this section requires some optional material<br />

from the subsection on length and angle measure in n-space.<br />

We have described the projection π from R 3 into its xy plane subspace as<br />

a ‘shadow map’. This shows why, but it also shows that some shadows fall<br />

upward.<br />

� �<br />

1<br />

2<br />

2<br />

� �<br />

1<br />

2<br />

0<br />

� �<br />

1<br />

2<br />

0<br />

� �<br />

1<br />

2<br />

−1<br />

So perhaps a better description is: the projection of �v is the �p in the plane with<br />

the property that someone standing on �p and looking straight up or down sees<br />

�v. In this section we will generalize this to other projections, both orthogonal<br />

(i.e., ‘straight up and down’) and nonorthogonal.<br />

3.VI.1 Orthogonal Projection Into a Line<br />

We first consider orthogonal projection into a line. To orthogonally project<br />

a vector �v into a line ℓ, darken a point on the line if someone on that line and<br />

looking straight up or down (from that person’s point of view) sees �v.<br />

�v<br />

The picture shows someone who has walked out on the line until the tip of<br />

�v is straight overhead. That is, where the line is described as the span of<br />

some nonzero vector ℓ = {c · �s � � c ∈ R}, the person has walked out to find the<br />

coefficient c�p with the property that �v − c�p · �s is orthogonal to c�p · �s.<br />

�p<br />

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