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Determine which pairs of vectors in Exercises \(15 - 18\) are orthogonal.

16. \({\bf{u}} = \left( {\begin{aligned}{12}\\3\\{ - 5}\end{aligned}} \right),\,\,{\bf{v}} = \left( {\begin{aligned}{2}\\{ - 3}\\3\end{aligned}} \right)\)

Short Answer

Expert verified

The vectors \({\bf{u}}{\rm{ and }}{\bf{v}}\) are orthogonal to each other.

Step by step solution

01

Definition of orthogonal vectors

The two vectors \({\bf{u}}{\rm{ and }}{\bf{v}}\) are Orthogonal if \({\bf{u}} \cdot {\bf{v}} = 0\).

02

Checking Orthogonality for given vectors.

The given vectors are:

\({\bf{u}} = \left( {\begin{aligned}{*{20}{r}}{12}\\3\\{ - 5}\end{aligned}} \right),\,\,{\bf{v}} = \left( {\begin{aligned}{*{20}{r}}2\\{ - 3}\\3\end{aligned}} \right)\)

On having dot products, we get:

\(\begin{aligned}{c}{\bf{u}} \cdot {\bf{v}} &= \left( {\begin{aligned}{*{20}{r}}{12}\\3\\{ - 5}\end{aligned}} \right).\left( {\begin{aligned}{*{20}{r}}2\\{ - 3}\\3\end{aligned}} \right)\\ &= \left( {12} \right)\left( 2 \right) + \left( 3 \right)\left( { - 3} \right) + \left( { - 5} \right)\left( 3 \right)\\ &= 24 - 9 - 15\\ &= 0\end{aligned}\)

Since \({\bf{u}} \cdot {\bf{v}} = 0\).

Hence, the vectors \({\bf{u}}{\rm{ and }}{\bf{v}}\) are orthogonal to each other.

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Most popular questions from this chapter

A Householder matrix, or an elementary reflector, has the form \(Q = I - 2{\bf{u}}{{\bf{u}}^T}\) where u is a unit vector. (See Exercise 13 in the Supplementary Exercise for Chapter 2.) Show that Q is an orthogonal matrix. (Elementary reflectors are often used in computer programs to produce a QR factorization of a matrix A. If A has linearly independent columns, then left-multiplication by a sequence of elementary reflectors can produce an upper triangular matrix.)

In Exercises 1-6, the given set is a basis for a subspace W. Use the Gram-Schmidt process to produce an orthogonal basis for W.

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Suppose \(A = QR\) is a \(QR\) factorization of an \(m \times n\) matrix

A (with linearly independent columns). Partition \(A\) as \(\left[ {\begin{aligned}{{}{}}{{A_1}}&{{A_2}}\end{aligned}} \right]\), where \({A_1}\) has \(p\) columns. Show how to obtain a \(QR\) factorization of \({A_1}\), and explain why your factorization has the appropriate properties.

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