/*! 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} Q2.8-13Q 13. For A as in exercise 11 i.e.... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

13. For A as in exercise 11 i.e., \[A = \left[ {\begin{array}{*{20}{c}}{\bf{3}}&{\bf{2}}&{\bf{1}}&{ - {\bf{5}}}\\{ - {\bf{9}}}&{ - {\bf{4}}}&{\bf{1}}&{\bf{7}}\\{\bf{9}}&{\bf{2}}&{ - {\bf{5}}}&{\bf{1}}\end{array}} \right]\], find a nonzero vector in Nul A and a nonzero vector in Col A.

Short Answer

Expert verified

One of the nonzero vectors in Nul A is \[\left( {1,2, - 1,6} \right)\], and one of the nonzero vectors in Col A is \[\left( {3, - 9,9} \right)\].

Step by step solution

01

Use row reduction

First, solve the equation \[Ax = 0\].

Its augmented matrix is:

\[\left[ {\begin{array}{*{20}{c}}A&0\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}3&2&1&{ - 5}&0\\{ - 9}&{ - 4}&1&7&0\\9&2&{ - 5}&1&0\end{array}} \right]\]

At row 2, multiply row 1 by 3 and add it to row 2, i.e., , and at row 3, multiply row 1 by 3 and subtract it from row 3, i.e., \[{R_3} \to {R_3} - 3{R_1}\]. Then,

\[ \sim \left[ {\begin{array}{*{20}{c}}3&2&1&{ - 5}&0\\0&2&4&{ - 8}&0\\0&{ - 4}&{ - 8}&{16}&0\end{array}} \right]\]

At row 3, multiply row 2 by 2 and add it to row 3, i.e., \[{R_3} \to {R_3} + 2{R_2}\].

\[ \sim \left[ {\begin{array}{*{20}{c}}3&2&1&{ - 5}&0\\0&2&4&{ - 8}&0\\0&0&0&0&0\end{array}} \right]\]

At row 1, subtract row 2 from row 1, i.e., \[{R_1} \to {R_1} - {R_2}\].

\[ \sim \left[ {\begin{array}{*{20}{c}}3&0&{ - 3}&3&0\\0&2&4&{ - 8}&0\\0&0&0&0&0\end{array}} \right]\]

At row 1, divide row 1 by 3, and at row 2, divide row 2 by 2.

\[\left[ {\begin{array}{*{20}{c}}A&0\end{array}} \right] \sim \left[ {\begin{array}{*{20}{c}}1&0&{ - 1}&1&0\\0&1&2&{ - 4}&0\\0&0&0&0&0\end{array}} \right]\]

This implies that

\[\begin{array}{c}{x_1} - {x_3} + {x_4} = 0\\{x_2} + 2{x_3} - 4{x_4} = 0\\0 = 0\end{array}\]

Thus, the system is consistent.

02

Find a nonzero vector in Nul A

The general solution is \[{x_1} = {x_3} - {x_4}\], and with \[{x_3},\] and are free. So, the nonzero vector in Nul A is given by \[{x_3},\] and .

Choose and then , and \[{x_2} = 6\] to obtain a nonzero vector \[\left( {1,2, - 1,6} \right)\] in Nul A.

03

Find a nonzero vector in Col A

By definition of column space, Col A is the span of \[\left\{ {\left( {3, - 9,9} \right),\left( {2, - 4,2} \right),\left( {1,1, - 5} \right),\left( { - 5,7,1} \right)} \right\}\].

So, every column of A belongs to Col A. Choose any nonzero column of A. So, is a nonzero vector in Col A.

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

Suppose \(AD = {I_m}\) (the \(m \times m\) identity matrix). Show that for any b in \({\mathbb{R}^m}\), the equation \(A{\mathop{\rm x}\nolimits} = {\mathop{\rm b}\nolimits} \) has a solution. (Hint: Think about the equation \(AD{\mathop{\rm b}\nolimits} = {\mathop{\rm b}\nolimits} \).) Explain why Acannot have more rows than columns.

In exercise 11 and 12, mark each statement True or False.Justify each answer.

a. If \(A = \left[ {\begin{array}{*{20}{c}}{{A_{\bf{1}}}}&{{A_{\bf{2}}}}\end{array}} \right]\) and \(B = \left[ {\begin{array}{*{20}{c}}{{B_{\bf{1}}}}&{{B_{\bf{2}}}}\end{array}} \right]\), with \({A_{\bf{1}}}\) and \({A_{\bf{2}}}\) the same sizes as \({B_{\bf{1}}}\) and \({B_{\bf{2}}}\), respectively then \(A + B = \left[ {\begin{array}{*{20}{c}}{{A_1} + {B_1}}&{{A_{\bf{2}}} + {B_{\bf{2}}}}\end{array}} \right]\).

b. If \(A = \left[ {\begin{array}{*{20}{c}}{{A_{{\bf{11}}}}}&{{A_{{\bf{12}}}}}\\{{A_{{\bf{21}}}}}&{{A_{{\bf{22}}}}}\end{array}} \right]\) and \(B = \left[ {\begin{array}{*{20}{c}}{{B_1}}\\{{B_{\bf{2}}}}\end{array}} \right]\), then the partitions of \(A\) and \(B\) are comfortable for block multiplication.

In Exercises 27 and 28, view vectors in \({\mathbb{R}^n}\)as\(n \times 1\)matrices. For \({\mathop{\rm u}\nolimits} \) and \({\mathop{\rm v}\nolimits} \) in \({\mathbb{R}^n}\), the matrix product \({{\mathop{\rm u}\nolimits} ^T}v\) is a \(1 \times 1\) matrix, called the scalar product, or inner product, of u and v. It is usually written as a single real number without brackets. The matrix product \({{\mathop{\rm uv}\nolimits} ^T}\) is a \(n \times n\) matrix, called the outer product of u and v. The products \({{\mathop{\rm u}\nolimits} ^T}{\mathop{\rm v}\nolimits} \) and \({{\mathop{\rm uv}\nolimits} ^T}\) will appear later in the text.

28. If u and v are in \({\mathbb{R}^n}\), how are \({{\mathop{\rm u}\nolimits} ^T}{\mathop{\rm v}\nolimits} \) and \({{\mathop{\rm v}\nolimits} ^T}{\mathop{\rm u}\nolimits} \) related? How are \({{\mathop{\rm uv}\nolimits} ^T}\) and \({\mathop{\rm v}\nolimits} {{\mathop{\rm u}\nolimits} ^T}\) related?

In Exercises 1–9, assume that the matrices are partitioned conformably for block multiplication. In Exercises 5–8, find formulas for X, Y, and Zin terms of A, B, and C, and justify your calculations. In some cases, you may need to make assumptions about the size of a matrix in order to produce a formula. [Hint:Compute the product on the left, and set it equal to the right side.]

7. \[\left[ {\begin{array}{*{20}{c}}X&{\bf{0}}&{\bf{0}}\\Y&{\bf{0}}&I\end{array}} \right]\left[ {\begin{array}{*{20}{c}}A&Z\\{\bf{0}}&{\bf{0}}\\B&I\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}I&{\bf{0}}\\{\bf{0}}&I\end{array}} \right]\]

a. Verify that \({A^2} = I\) when \(A = \left[ {\begin{array}{*{20}{c}}1&0\\3&{ - 1}\end{array}} \right]\).

b. Use partitioned matrices to show that \({M^2} = I\) when\(M = \left[ {\begin{array}{*{20}{c}}1&0&0&0\\3&{ - 1}&0&0\\1&0&{ - 1}&0\\0&1&{ - 3}&1\end{array}} \right]\).

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.