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Linear Algebra, 2020a

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Section VI. Projection 275<br />

VI<br />

Projection<br />

This section is optional. It is a prerequisite only for the final two sections<br />

of Chapter Five, and some Topics.<br />

We have described projection from R 3 into its xy-plane subspace as a shadow<br />

map. This shows why but it also shows that some shadows fall upward.<br />

⎛ ⎞<br />

1<br />

⎝2⎠<br />

2<br />

⎛ ⎞<br />

1<br />

⎝ 2 ⎠<br />

−1<br />

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

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

that is, looking orthogonally to the plane — sees the tip of ⃗v. In this section we<br />

will generalize this to other projections, orthogonal and non-orthogonal.<br />

VI.1<br />

Orthogonal Projection Into a Line<br />

We first consider orthogonal projection of a vector ⃗v into a line l. This shows<br />

a figure walking out on the line to a point ⃗p such that the tip of ⃗v is directly<br />

above them, where “above” does not mean parallel to the y-axis but instead<br />

means orthogonal to the line.<br />

Since the line is the span of some vector l = {c · ⃗s | c ∈ R}, wehaveacoefficient<br />

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

⃗v<br />

⃗v − c ⃗p ⃗s<br />

c ⃗p ⃗s

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