Consider the matrices 2 1 4 0 13 1 2 -1 0 3 -6 1 |-1 2 -7 1 4 1 17 -1 7 [1 0 3 7 0 8 25 -3 -19 1 -2 -1 0 0 R = 0 0 0 0 0 0 0 0 1 9 0 0 0 0 A = 1 1 9. and 1 4. -5 2 10 2 1 2 34 You may assume that R is the reduced row-echelon form of A. Let ã1, ...,ā7 E R° denote the columns of A, in left-to-right order. (a) Which of the vectors ā3, ā4, and ās belong to the span of ã1 and ã2? No justification necessary. (b) What is the largest number of linearly independent vectors that can be chosen from among ã1,...,ā7? No justification necessary. (c) Does āz belong to the span of ã1, ã2, and ã4? If not, explain why not; if so, write ãg explicitly as a linear combination of ā1, ā2, and ã4.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
Question
Certainly! Below is the transcribed text suitable for an educational website:

---

**4. Consider the matrices**

\[ A = \begin{bmatrix} 
2 & 4 & 0 & 13 & -1 & 7 \\ 
1 & 2 & 5 & 25 & -3 & -19 \\ 
0 & 3 & -6 & 1 & 1 & 9 \\ 
2 & -7 & -1 & -5 & 2 & 10 \\ 
1 & 4 & 1 & 17 & 2 & 34 
\end{bmatrix} \]

and

\[ R = \begin{bmatrix} 
1 & 0 & 3 & 0 & 7 & 0 & 8 \\ 
0 & 1 & -2 & 0 & -1 & 0 & 0 \\ 
0 & 0 & 0 & 1 & 0 & 4 & 0 \\ 
0 & 0 & 0 & 0 & 0 & 1 & 9 \\ 
0 & 0 & 0 & 0 & 0 & 0 & 0 
\end{bmatrix} \]

You may assume that \( R \) is the reduced row-echelon form of \( A \). Let \(\mathbf{a}_1, \ldots, \mathbf{a}_7 \in \mathbb{R}^5\) denote the columns of \( A \), in left-to-right order.

(a) Which of the vectors \(\mathbf{a}_3, \mathbf{a}_4,\) and \(\mathbf{a}_5\) belong to the span of \(\mathbf{a}_1\) and \(\mathbf{a}_2\)? No justification necessary.

(b) What is the largest number of linearly independent vectors that can be chosen from among \(\mathbf{a}_1, \ldots, \mathbf{a}_7\)? No justification necessary.

(c) Does \(\mathbf{a}_5\) belong to the span of \(\mathbf{a}_1, \mathbf{a}_2,\) and \(\mathbf{a}_4\)? If not, explain why not; if so, write \(\mathbf{a}_5\) explicitly as a linear combination of \(\mathbf{a}_1, \mathbf{
Transcribed Image Text:Certainly! Below is the transcribed text suitable for an educational website: --- **4. Consider the matrices** \[ A = \begin{bmatrix} 2 & 4 & 0 & 13 & -1 & 7 \\ 1 & 2 & 5 & 25 & -3 & -19 \\ 0 & 3 & -6 & 1 & 1 & 9 \\ 2 & -7 & -1 & -5 & 2 & 10 \\ 1 & 4 & 1 & 17 & 2 & 34 \end{bmatrix} \] and \[ R = \begin{bmatrix} 1 & 0 & 3 & 0 & 7 & 0 & 8 \\ 0 & 1 & -2 & 0 & -1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 & 4 & 0 \\ 0 & 0 & 0 & 0 & 0 & 1 & 9 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 \end{bmatrix} \] You may assume that \( R \) is the reduced row-echelon form of \( A \). Let \(\mathbf{a}_1, \ldots, \mathbf{a}_7 \in \mathbb{R}^5\) denote the columns of \( A \), in left-to-right order. (a) Which of the vectors \(\mathbf{a}_3, \mathbf{a}_4,\) and \(\mathbf{a}_5\) belong to the span of \(\mathbf{a}_1\) and \(\mathbf{a}_2\)? No justification necessary. (b) What is the largest number of linearly independent vectors that can be chosen from among \(\mathbf{a}_1, \ldots, \mathbf{a}_7\)? No justification necessary. (c) Does \(\mathbf{a}_5\) belong to the span of \(\mathbf{a}_1, \mathbf{a}_2,\) and \(\mathbf{a}_4\)? If not, explain why not; if so, write \(\mathbf{a}_5\) explicitly as a linear combination of \(\mathbf{a}_1, \mathbf{
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,