/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q26E Let \({\bf{u}} = \left( {\begin{... [FREE SOLUTION] | ÷ÈÓ°Ö±²¥

÷ÈÓ°Ö±²¥

Let \({\bf{u}} = \left( {\begin{aligned}5\\{ - 6}\\7\end{aligned}} \right)\), and let \(W\) be the set of all \({\bf{x}}\) in \({\mathbb{R}^3}\) such that \({\bf{u}} \cdot {\bf{x}} = 0\). What theorem in Chapter 4 can be used to show that \(W\) is a subspace of \({\mathbb{R}^3}\)? Describe \(W\) in geometric language.

Short Answer

Expert verified

The theorem that can be used in chapter 4 is theorem 2. And geometrically, \(W\) is a plane through the origin.

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

Check whether \(W\) is a subspace of \({\mathbb{R}^3}\) or not

The given vector is, \({\bf{u}} = \left( {\begin{aligned}{*{20}{c}}5\\{ - 6}\\7\end{aligned}} \right)\) and \(W = \left\{ {x \in {\mathbb{R}^3}|{\bf{u}} \cdot {\bf{x}} = 0} \right\}\).

Since is a null space of the \(1 \times 3\) matrix \({{\bf{u}}^T}\).

Therefore, Theorem 2 can be used to verify that \(W\) is a subspace of \({\mathbb{R}^3}\), which is possible only, if \({\bf{u}} \cdot {\bf{x}} = 0\) or \({{\bf{u}}^T} \cdot {\bf{x}} = 0\), this shows that \(W\) is a null-pace of \({{\bf{u}}^T}\). Hence \(W\) is a subspace of \({\mathbb{R}^3}\).

03

Define geometrically

As \(W\) has all the vectors which are perpendicular to \({\bf{u}}\). So find \({\bf{u}} \cdot {\bf{x}} = 0\) by letting \({\bf{x}} = \left( {\begin{aligned}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{aligned}} \right)\).

\(\begin{aligned}{c}\left( {\begin{aligned}{*{20}{c}}5\\{ - 6}\\7\end{aligned}} \right) \cdot \left( {\begin{aligned}{*{20}{c}}{{x_1}}\\{{x_2}}\\{{x_3}}\end{aligned}} \right) = 0\\5{x_1} - 6{x_2} + 7{x_3} = 0\end{aligned}\)

So geometrically, the subspace \(W\) is a plane passing through the origin.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with ÷ÈÓ°Ö±²¥!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

In Exercises 11 and 12, find the closest point to\[{\bf{y}}\]in the subspace\[W\]spanned by\[{{\bf{v}}_1}\], and\[{{\bf{v}}_2}\].

11.\[y = \left[ {\begin{aligned}3\\1\\5\\1\end{aligned}} \right]\],\[{{\bf{v}}_1} = \left[ {\begin{aligned}3\\1\\{ - 1}\\1\end{aligned}} \right]\],\[{{\bf{v}}_2} = \left[ {\begin{aligned}1\\{ - 1}\\1\\{ - 1}\end{aligned}} \right]\]

In Exercises 9-12, find a unit vector in the direction of the given vector.

12. \(\left( {\begin{array}{*{20}{c}}{\frac{8}{3}}\\2\end{array}} \right)\)

A simple curve that often makes a good model for the variable costs of a company, a function of the sales level \(x\), has the form \(y = {\beta _1}x + {\beta _2}{x^2} + {\beta _3}{x^3}\). There is no constant term because fixed costs are not included.

a. Give the design matrix and the parameter vector for the linear model that leads to a least-squares fit of the equation above, with data \(\left( {{x_1},{y_1}} \right), \ldots ,\left( {{x_n},{y_n}} \right)\).

b. Find the least-squares curve of the form above to fit the data \(\left( {4,1.58} \right),\left( {6,2.08} \right),\left( {8,2.5} \right),\left( {10,2.8} \right),\left( {12,3.1} \right),\left( {14,3.4} \right),\left( {16,3.8} \right)\) and \(\left( {18,4.32} \right)\), with values in thousands. If possible, produce a graph that shows the data points and the graph of the cubic approximation.

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.

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

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.