Back to Projection Into a Subspace

Exercise 7

Avg difficulty 3.0

We have three ways to find the orthogonal projection of a vector into a line, the Definition 1.1 way from the first subsection of this section, the Example 3.2 and 3.3 way of representing the vector with respect to a basis for the space and then keeping the MM part, and the way of Theorem 3.8. For these cases, do all three ways.

  • v⃗=(1−3),M={(xy)∣x+y=0}\vec{v}=\begin{pmatrix}1\\ -3\end{pmatrix},\quad M=\text{$\{\hskip 1.00006pt\begin{pmatrix}x\\ y\end{pmatrix}\mid x+y=0\hskip 1.00006pt\}$}

  • v⃗=(012),M={(xyz)∣x+z=0 and y=0}\vec{v}=\begin{pmatrix}0\\ 1\\ 2\end{pmatrix},\quad M=\text{$\{\hskip 1.00006pt\begin{pmatrix}x\\ y\\ z\end{pmatrix}\mid\text{$x+z=0$ and $y=0$}\hskip 1.00006pt\}$}

Hefferon, Linear Algebra, Maps Between Spaces, Projection Into a Subspace, Exercise 7

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Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.