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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

Question: In Exercises 3-6, verify that\(\left\{ {{{\bf{u}}_{\bf{1}}},{{\bf{u}}_{\bf{2}}}} \right\}\)is an orthogonal set, and then find the orthogonal projection of y onto\({\bf{Span}}\left\{ {{{\bf{u}}_{\bf{1}}},{{\bf{u}}_{\bf{2}}}} \right\}\).

4.\(y = \left[ {\begin{aligned}{\bf{6}}\\{\bf{3}}\\{ - {\bf{2}}}\end{aligned}} \right]\),\({{\bf{u}}_{\bf{1}}} = \left[ {\begin{aligned}{\bf{3}}\\{\bf{4}}\\{\bf{0}}\end{aligned}} \right]\),\({{\bf{u}}_{\bf{2}}} = \left[ {\begin{aligned}{ - {\bf{4}}}\\{\bf{3}}\\{\bf{0}}\end{aligned}} \right]\)

Find the distance between \({\mathop{\rm x}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{10}\\{ - 3}\end{aligned}} \right)\) and \({\mathop{\rm y}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{ - 1}\\{ - 5}\end{aligned}} \right)\).

In Exercises 1-4, find a least-sqaures solution of \(A{\bf{x}} = {\bf{b}}\) by (a) constructing a normal equations for \({\bf{\hat x}}\) and (b) solving for \({\bf{\hat x}}\).

3. \(A = \left( {\begin{aligned}{{}{}}{\bf{1}}&{ - {\bf{2}}}\\{ - {\bf{1}}}&{\bf{2}}\\{\bf{0}}&{\bf{3}}\\{\bf{2}}&{\bf{5}}\end{aligned}} \right)\), \({\bf{b}} = \left( {\begin{aligned}{{}{}}{\bf{3}}\\{\bf{1}}\\{ - {\bf{4}}}\\{\bf{2}}\end{aligned}} \right)\)

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

a. If \(W = {\rm{span}}\left\{ {{x_1},{x_2},{x_3}} \right\}\) with \({x_1},{x_2},{x_3}\) linearly independent,

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 \(W\) .

b. If \(x\) is not in a subspace \(W\) , then \(x - {\rm{pro}}{{\rm{j}}_W}x\) is not zero.

c. In a \(QR\) factorization, say \(A = QR\) (when \(A\) has linearly

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

orthonormal basis for the column space of \(A\).

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

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