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Question 16: Let \({\mathop{\rm y}\nolimits} = \left( {\begin{array}{*{20}{c}}{ - 3}\\9\end{array}} \right)\), and \({\mathop{\rm u}\nolimits} = \left( {\begin{array}{*{20}{c}}1\\2\end{array}} \right)\). Compute the distance from y to the line through u and the origin.

Short Answer

Expert verified

The distance from y to the line throughu and the origin is \(3\sqrt 5 \) units.

Step by step solution

01

Definition of the orthogonal projection

The equation \({\bf{y}} = \widehat {\bf{y}} + {\bf{z}}\) is satisfied with \({\bf{z}}\) orthogonal to \({\bf{u}}\) such that if \(\alpha = \frac{{{\bf{y}} \cdot {\bf{u}}}}{{{\bf{u}} \cdot {\bf{u}}}}\), and \(\widehat {\bf{y}} = \frac{{{\bf{y}} \cdot {\bf{u}}}}{{{\bf{u}} \cdot {\bf{u}}}}{\bf{u}}\). Then, the vector \(\widehat {\mathop{\rm y}\nolimits} \) is known as theorthogonal projection of y onto uand, the vector \({\bf{z}}\) is known as thecomponentof \({\mathop{\rm y}\nolimits} \) orthogonal to \({\bf{u}}\).

Typically, \(\widehat {\bf{y}}\) is represented by \({{\mathop{\rm proj}\nolimits} _L}{\bf{y}}\) and is called the orthogonal projection of \({\mathop{\rm y}\nolimits} \) onto L. Then, \(\widehat {\bf{y}} = {{\mathop{\rm proj}\nolimits} _L}{\bf{y}} = \frac{{{\bf{y}} \cdot {\bf{u}}}}{{{\bf{u}} \cdot {\bf{u}}}}{\bf{u}}\).

02

Compute the component of y orthogonal to u

Compute \({\bf{y}} \cdot {\bf{u}}\) and \({\bf{u}} \cdot {\bf{u}}\) as shown below:

\(\begin{array}{c}{\bf{y}} \cdot {\bf{u}} = \left( {\begin{array}{*{20}{c}}{ - 3}\\9\end{array}} \right) \cdot \left( {\begin{array}{*{20}{c}}1\\2\end{array}} \right)\\ = - 3 + 18\\ = 15\end{array}\)

And,

\(\begin{array}{c}{\bf{u}} \cdot {\bf{u}} = \left( {\begin{array}{*{20}{c}}1\\2\end{array}} \right) \cdot \left( {\begin{array}{*{20}{c}}1\\2\end{array}} \right)\\ = 1 + 4\\ = 5\end{array}\)

Compute \({\bf{y}} - \widehat {\bf{y}}\) as shown below:

\(\begin{array}{c}{\bf{y}} - \widehat {\bf{y}} = \frac{{{\bf{y}} \cdot {\bf{u}}}}{{{\bf{u}} \cdot {\bf{u}}}}{\bf{u}}\\ = \left( {\begin{array}{*{20}{c}}{ - 3}\\9\end{array}} \right) - \frac{{15}}{5}\left( {\begin{array}{*{20}{c}}1\\2\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - 3}\\9\end{array}} \right) - 3\left( {\begin{array}{*{20}{c}}1\\2\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - 3}\\9\end{array}} \right) - \left( {\begin{array}{*{20}{c}}3\\6\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - 6}\\3\end{array}} \right)\end{array}\)

Therefore, the component of \({\bf{y}}\) orthogonal to \({\bf{u}}\) is \({\bf{y}} - \widehat {\bf{y}} = \left( {\begin{array}{*{20}{c}}{ - 6}\\3\end{array}} \right)\).

03

Compute the distance from y to the line through u and the origin

The distance from y to the line through u and the origin is the length of the perpendicular line segment from y to the orthogonal projection \(\widehat {\bf{y}}\), that is \(\left\| {{\bf{y}} - \widehat {\bf{y}}} \right\|\).

Compute \(\left\| {{\bf{y}} - \widehat {\bf{y}}} \right\|\) as shown below:

\(\begin{array}{c}\left\| {{\bf{y}} - \widehat {\bf{y}}} \right\| = \sqrt {{{\left( { - 6} \right)}^2} + {{\left( 3 \right)}^2}} \\ = \sqrt {\left( {36} \right) + \left( 9 \right)} \\ = \sqrt {45} \\ = 3\sqrt 5 \end{array}\)

Thus, the distance from \({\bf{y}}\) to the line through u and the origin is \(3\sqrt 5 \) units.

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Most popular questions from this chapter

Let \(\left\{ {{{\bf{v}}_1}, \ldots ,{{\bf{v}}_p}} \right\}\) be an orthonormal set. Verify the following equality by induction, beginning with \(p = 2\). If \({\bf{x}} = {c_1}{{\bf{v}}_1} + \ldots + {c_p}{{\bf{v}}_p}\), then

\({\left\| {\bf{x}} \right\|^2} = {\left| {{c_1}} \right|^2} + {\left| {{c_2}} \right|^2} + \ldots + {\left| {{c_p}} \right|^2}\)

In Exercises 9-12, find (a) the orthogonal projection of b onto \({\bf{Col}}A\) and (b) a least-squares solution of \(A{\bf{x}} = {\bf{b}}\).

9. \(A = \left[ {\begin{aligned}{{}{}}{\bf{1}}&{\bf{5}}\\{\bf{3}}&{\bf{1}}\\{ - {\bf{2}}}&{\bf{4}}\end{aligned}} \right]\), \({\bf{b}} = \left[ {\begin{aligned}{{}{}}{\bf{4}}\\{ - {\bf{2}}}\\{ - {\bf{3}}}\end{aligned}} \right]\)

In Exercises 7–10, let\[W\]be the subspace spanned by the\[{\bf{u}}\]’s, and write y as the sum of a vector in\[W\]and a vector orthogonal to\[W\].

7.\[y = \left[ {\begin{aligned}1\\3\\5\end{aligned}} \right]\],\[{{\bf{u}}_1} = \left[ {\begin{aligned}1\\3\\{ - 2}\end{aligned}} \right]\],\[{{\bf{u}}_2} = \left[ {\begin{aligned}5\\1\\4\end{aligned}} \right]\]

A healthy child’s systolic blood pressure (in millimetres of mercury) and weight (in pounds) are approximately related by the equation

\({\beta _0} + {\beta _1}\ln w = p\)

Use the following experimental data to estimate the systolic blood pressure of healthy child weighing 100 pounds.

\(\begin{array} w&\\ & {44}&{61}&{81}&{113}&{131} \\ \hline {\ln w}&\\vline & {3.78}&{4.11}&{4.39}&{4.73}&{4.88} \\ \hline p&\\vline & {91}&{98}&{103}&{110}&{112} \end{array}\)

In Exercises 17 and 18, all vectors and subspaces are in \({\mathbb{R}^n}\). Mark each statement True or False. Justify each answer.

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and if \(\left\{ {{v_1},{v_2},{v_3}} \right\}\) is an orthogonal set in \(W\) , then \(\left\{ {{v_1},{v_2},{v_3}} \right\}\) is a basis for \(W\) .

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independent columns), the columns of \(Q\) form an

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