/*! 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} Q19E Let \({v_1} = \left( {\begin{arr... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Let \({v_1} = \left( {\begin{array}{*{20}{c}}4\\{ - 3}\\7\end{array}} \right)\), \({v_2} = \left( {\begin{array}{*{20}{c}}1\\9\\{ - 2}\end{array}} \right)\), \({v_3} = \left( {\begin{array}{*{20}{c}}7\\{11}\\6\end{array}} \right)\), and \(H = Span\left\{ {{v_1},{v_2},{v_3}} \right\}\). It can be verified that \(4{v_1} + 5{v_2} - 3{v_3} = 0\). Use this information to find a basis for \(H\). There is more than one answer

Short Answer

Expert verified

Each vector forms a basis for H.

Step by step solution

01

State the condition for span and linear independence

Vector \({{\bf{v}}_3}\) is said to be in the Span \(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2}} \right\}\) if the equation \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} = {{\bf{v}}_3}\) has a solution, where \({{\bf{v}}_1}\), \({{\bf{v}}_2}\), and \({{\bf{v}}_3}\) are vectors.

The vectors are said to be linearly independent if the equation \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} + ... + {x_p}{{\bf{v}}_p} = 0\) has a trivial solution, where \({{\bf{v}}_1},{{\bf{v}}_2},...,{{\bf{v}}_p}\) are vectors.

02

Verify the condition

Consider the vectors\({{\bf{v}}_1} = \left( {\begin{array}{*{20}{c}}4\\{ - 3}\\7\end{array}} \right)\), \({{\bf{v}}_2} = \left( {\begin{array}{*{20}{c}}1\\9\\{ - 2}\end{array}} \right)\), \({{\bf{v}}_3} = \left( {\begin{array}{*{20}{c}}7\\{11}\\6\end{array}} \right)\).

Substitute the above vectors in the equation\(4{{\bf{v}}_1} + 5{{\bf{v}}_2} - 3{{\bf{v}}_3} = 0\).

\(\begin{array}{c}4\left( {\begin{array}{*{20}{c}}4\\{ - 3}\\7\end{array}} \right) + 5\left( {\begin{array}{*{20}{c}}1\\9\\{ - 2}\end{array}} \right) - 3\left( {\begin{array}{*{20}{c}}7\\{11}\\6\end{array}} \right) = 0\\\left( {\begin{array}{*{20}{c}}{16}\\{ - 12}\\{28}\end{array}} \right) + \left( {\begin{array}{*{20}{c}}5\\{45}\\{ - 10}\end{array}} \right) - \left( {\begin{array}{*{20}{c}}{21}\\{33}\\{18}\end{array}} \right) = 0\\\left( {\begin{array}{*{20}{c}}{15 + 5 - 21}\\{ - 12 + 45 - 33}\\{28 - 10 - 18}\end{array}} \right) = 0\\0 = 0\end{array}\)

Hence, the relation\(4{{\bf{v}}_1} + 5{{\bf{v}}_2} - 3{{\bf{v}}_3} = 0\)is verified.

03

Rearrange the vectors

Take the equation\(4{{\bf{v}}_1} + 5{{\bf{v}}_2} - 3{{\bf{v}}_3} = 0\), and write vector\({{\bf{v}}_1}\)in terms of the other two vectors,\({{\bf{v}}_2}\)and\({{\bf{v}}_3}\), as shown below:

\({{\bf{v}}_1} = - \frac{5}{4}{{\bf{v}}_2} + \frac{3}{4}{{\bf{v}}_3}\)

Take the equation\(4{{\bf{v}}_1} + 5{{\bf{v}}_2} - 3{{\bf{v}}_3} = 0\), and write vector\({{\bf{v}}_2}\)in terms of the other two vectors,\({{\bf{v}}_1}\)and\({{\bf{v}}_3}\), as shown below:

\({{\bf{v}}_2} = - \frac{4}{5}{{\bf{v}}_1} + \frac{3}{5}{{\bf{v}}_3}\)

Take the equation\(4{{\bf{v}}_1} + 5{{\bf{v}}_2} - 3{{\bf{v}}_3} = 0\), and write vector\({{\bf{v}}_3}\)in terms of the other two vectors,\({{\bf{v}}_1}\)and\({{\bf{v}}_2}\), as shown below:

\({{\bf{v}}_3} = \frac{4}{3}{{\bf{v}}_1} + \frac{5}{3}{{\bf{v}}_2}\)

Thus, all vectors are linear combinations of each other.

04

Obtain the basis for H

From the equation\({{\bf{v}}_1} = - \frac{5}{4}{{\bf{v}}_2} + \frac{3}{4}{{\bf{v}}_3}\), the set\(\left\{ {{{\bf{v}}_2},{{\bf{v}}_3}} \right\}\)span H.

From the equation\({{\bf{v}}_2} = - \frac{4}{5}{{\bf{v}}_1} + \frac{3}{5}{{\bf{v}}_3}\), the set\(\left\{ {{{\bf{v}}_1},{{\bf{v}}_3}} \right\}\)span H.

From the equation\({{\bf{v}}_3} = \frac{4}{3}{{\bf{v}}_1} + \frac{5}{3}{{\bf{v}}_2}\), the set\(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2}} \right\}\)span H.

Also, no vector is a multiple of another vector.

Thus, the sets\(\left\{ {{{\bf{v}}_2},{{\bf{v}}_3}} \right\}\),\(\left\{ {{{\bf{v}}_1},{{\bf{v}}_3}} \right\}\), and\(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2}} \right\}\)are linearly independent and they all form a basis for H.

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 91Ó°ÊÓ!

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

If A is a \({\bf{6}} \times {\bf{4}}\) matrix, what is the smallest possible dimension of Null A?

In Exercise 2, find the vector x determined by the given coordinate vector \({\left( x \right)_{\rm B}}\) and the given basis \({\rm B}\).

2. \({\rm B} = \left\{ {\left( {\begin{array}{*{20}{c}}{\bf{4}}\\{\bf{5}}\end{array}} \right),\left( {\begin{array}{*{20}{c}}{\bf{6}}\\{\bf{7}}\end{array}} \right)} \right\},{\left( x \right)_{\rm B}} = \left( {\begin{array}{*{20}{c}}{\bf{8}}\\{ - {\bf{5}}}\end{array}} \right)\)

In statistical theory, a common requirement is that a matrix be of full rank. That is, the rank should be as large as possible. Explain why an m n matrix with more rows than columns has full rank if and only if its columns are linearly independent.

Consider the polynomials \({{\bf{p}}_{\bf{1}}}\left( t \right) = {\bf{1}} + t\), \({{\bf{p}}_{\bf{2}}}\left( t \right) = {\bf{1}} - t\), \({{\bf{p}}_{\bf{3}}}\left( t \right) = {\bf{4}}\), \({{\bf{p}}_{\bf{4}}}\left( t \right) = {\bf{1}} + {t^{\bf{2}}}\), and \({{\bf{p}}_{\bf{5}}}\left( t \right) = {\bf{1}} + {\bf{2}}t + {t^{\bf{2}}}\), and let H be the subspace of \({P_{\bf{5}}}\) spanned by the set \(S = \left\{ {{{\bf{p}}_{\bf{1}}},\,{{\bf{p}}_{\bf{2}}},\;{{\bf{p}}_{\bf{3}}},\,{{\bf{p}}_{\bf{4}}},\,{{\bf{p}}_{\bf{5}}}} \right\}\). Use the method described in the proof of the Spanning Set Theorem (Section 4.3) to produce a basis for H. (Explain how to select appropriate members of S.)

(calculus required) Define \(T:C\left( {0,1} \right) \to C\left( {0,1} \right)\) as follows: For f in \(C\left( {0,1} \right)\), let \(T\left( t \right)\) be the antiderivative \({\mathop{\rm F}\nolimits} \) of \({\mathop{\rm f}\nolimits} \) such that \({\mathop{\rm F}\nolimits} \left( 0 \right) = 0\). Show that \(T\) is a linear transformation, and describe the kernel of \(T\). (See the notation in Exercise 20 of Section 4.1.)

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.