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Let \({\rm{v}} = \left( {\begin{aligned}a\\b\end{aligned}} \right)\). Describe the set \(H\) of vectors \(\left( {\begin{aligned}x\\y\end{aligned}} \right)\) that are orthogonal to \({\bf{v}}\). (Hint: Consider \({\rm{v}} = 0{\rm{ and v}} \ne 0\))

Short Answer

Expert verified

The required set is \(H = \left\{ {\left( {\begin{aligned}{*{20}{c}}b\\{ - a}\end{aligned}} \right)} \right\}\).

Step by step solution

01

Definition of Orthogonal sets

The two vectors \({\bf{u}}{\rm{ and }}{\bf{v}}\) are Orthogonal if:

\(\begin{aligned}{l}{\left\| {{\bf{u}} + {\bf{v}}} \right\|^2} = {\left\| {\bf{u}} \right\|^2} + {\left\| {\bf{v}} \right\|^2}\\{\rm{and}}\\{\bf{u}} \cdot {\bf{v}} = 0\end{aligned}\)

02

 Computing the required vector

As per the question, we have:

\({\bf{v}} = \left( {\begin{aligned}{*{20}{c}}a\\b\end{aligned}} \right)\)

Since \(0\)is orthogonal to all possible vectors.

Therefore, Let \({\bf{v}} \ne 0\),

Then, the span of \({\bf{v}} \ne 0\) is in \({\mathbb{R}^2}\). And, the line in \(H\) will be perpendicular to this vector.

So, let us have a vector of opposite entriesof \({\bf{v}}\) as:

\({\bf{u}} = \left( {\begin{aligned}{*{20}{c}}b\\{ - a}\end{aligned}} \right)\)

Find the product \({\bf{u}} \cdot {\bf{v}}\).

\(\begin{aligned}{c}{\bf{u}} \cdot {\bf{v}} = \left( {\begin{aligned}{*{20}{c}}a\\b\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}b\\{ - a}\end{aligned}} \right)\\ = ab - ab\\ = 0\end{aligned}\)

Now,

We can say:

\(H = \left\{ {\left( {\begin{aligned}{*{20}{c}}b\\{ - a}\end{aligned}} \right)} \right\}\)

Hence, this is the required answer.

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Most popular questions from this chapter

In exercises 1-6, determine which sets of vectors are orthogonal.

\(\left[ {\begin{align} 2\\{-5}\\{-3}\end{align}} \right]\), \(\left[ {\begin{align}0\\0\\0\end{align}} \right]\), \(\left[ {\begin{align} 4\\{ - 2}\\6\end{align}} \right]\)

Find an orthonormal basis of the subspace spanned by the vectors in Exercise 3.

Compute the least-squares error associated with the least square solution found in Exercise 3.

In Exercises 13 and 14, find the best approximation to\[{\bf{z}}\]by vectors of the form\[{c_1}{{\bf{v}}_1} + {c_2}{{\bf{v}}_2}\].

13.\[z = \left[ {\begin{aligned}3\\{ - 7}\\2\\3\end{aligned}} \right]\],\[{{\bf{v}}_1} = \left[ {\begin{aligned}2\\{ - 1}\\{ - 3}\\1\end{aligned}} \right]\],\[{{\bf{v}}_2} = \left[ {\begin{aligned}1\\1\\0\\{ - 1}\end{aligned}} \right]\]

Question: In Exercises 1 and 2, you may assume that\(\left\{ {{{\bf{u}}_{\bf{1}}},...,{{\bf{u}}_{\bf{4}}}} \right\}\)is an orthogonal basis for\({\mathbb{R}^{\bf{4}}}\).

2.\({{\bf{u}}_{\bf{1}}} = \left[ {\begin{aligned}{\bf{1}}\\{\bf{2}}\\{\bf{1}}\\{\bf{1}}\end{aligned}} \right]\),\({{\bf{u}}_{\bf{2}}} = \left[ {\begin{aligned}{ - {\bf{2}}}\\{\bf{1}}\\{ - {\bf{1}}}\\{\bf{1}}\end{aligned}} \right]\),\({{\bf{u}}_{\bf{3}}} = \left[ {\begin{aligned}{\bf{1}}\\{\bf{1}}\\{ - {\bf{2}}}\\{ - {\bf{1}}}\end{aligned}} \right]\),\({{\bf{u}}_{\bf{4}}} = \left[ {\begin{aligned}{ - {\bf{1}}}\\{\bf{1}}\\{\bf{1}}\\{ - {\bf{2}}}\end{aligned}} \right]\),\({\bf{x}} = \left[ {\begin{aligned}{\bf{4}}\\{\bf{5}}\\{ - {\bf{3}}}\\{\bf{3}}\end{aligned}} \right]\)

Write v as the sum of two vectors, one in\({\bf{Span}}\left\{ {{{\bf{u}}_1}} \right\}\)and the other in\({\bf{Span}}\left\{ {{{\bf{u}}_2},{{\bf{u}}_3},{{\bf{u}}_{\bf{4}}}} \right\}\).

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