
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
expand_more
expand_more
format_list_bulleted
Question
For the matrix given find
1. It’s column space.
2.It’s null space.
3.It’s row space.
![For this educational website content, we will be discussing matrix transformations and provide a detailed transcription and explanation of the given matrix problem.
---
### Matrix Transformation Example
We are given a matrix \( A \), and our goal is to find the reduced row echelon form of \( A \).
The matrix \( A \) is as follows:
\[
A = \begin{pmatrix}
-1 & 3 & 1 \\
2 & 2 & 4 \\
-6 & -2 & -1 \\
-8 & -1 & 9 \\
1 & -1 & -1
\end{pmatrix}
\]
To solve for the reduced row echelon form (RREF) of matrix \( A \), follow the Gaussian elimination steps which involve row operations such as:
1. Swapping rows
2. Multiplying a row by a non-zero scalar
3. Adding or subtracting multiples of one row to another row
---
#### Detailed Steps (Note: Example steps provided without exact intermediate results)
1. **Row Operations:**
- Identify the leading entry in each row.
- Ensure each leading entry is 1 (if necessary, scale the row).
- Use row operations to create zeros in all positions below and above each leading entry.
2. **Example Steps:**
- Scale Row 1, if needed, so the first element is 1.
- Create zeros below the first element of Row 1.
- Move to the second row and scale so the second element is 1.
- Eliminate elements below and above this leading 1.
- Continue for subsequent rows.
\[
\begin{pmatrix}
1 & a & b \\
0 & 1 & c \\
0 & 0 & 1 \\
0 & 0 & 0 \\
0 & 0 & 0
\end{pmatrix}
\]
(Note: \(a\), \(b\), and \(c\) represent placeholder numbers after performing row operations corresponding to their respective positions).
3. **Final Matrix:**
The final matrix should be in the form where the leading coefficient of each row is 1, and all other elements in the column containing the leading coefficient are zeros. This is achieved after all necessary row operations are performed.
---
### Conclusion
Performing these steps results in the reduced row echelon form of the](https://content.bartleby.com/qna-images/question/be52e616-7bd7-4d85-a476-7e5fcec53ee5/70fe694c-3646-42e2-bf65-7e2fd7a7e942/0b8md8g_thumbnail.jpeg)
Transcribed Image Text:For this educational website content, we will be discussing matrix transformations and provide a detailed transcription and explanation of the given matrix problem.
---
### Matrix Transformation Example
We are given a matrix \( A \), and our goal is to find the reduced row echelon form of \( A \).
The matrix \( A \) is as follows:
\[
A = \begin{pmatrix}
-1 & 3 & 1 \\
2 & 2 & 4 \\
-6 & -2 & -1 \\
-8 & -1 & 9 \\
1 & -1 & -1
\end{pmatrix}
\]
To solve for the reduced row echelon form (RREF) of matrix \( A \), follow the Gaussian elimination steps which involve row operations such as:
1. Swapping rows
2. Multiplying a row by a non-zero scalar
3. Adding or subtracting multiples of one row to another row
---
#### Detailed Steps (Note: Example steps provided without exact intermediate results)
1. **Row Operations:**
- Identify the leading entry in each row.
- Ensure each leading entry is 1 (if necessary, scale the row).
- Use row operations to create zeros in all positions below and above each leading entry.
2. **Example Steps:**
- Scale Row 1, if needed, so the first element is 1.
- Create zeros below the first element of Row 1.
- Move to the second row and scale so the second element is 1.
- Eliminate elements below and above this leading 1.
- Continue for subsequent rows.
\[
\begin{pmatrix}
1 & a & b \\
0 & 1 & c \\
0 & 0 & 1 \\
0 & 0 & 0 \\
0 & 0 & 0
\end{pmatrix}
\]
(Note: \(a\), \(b\), and \(c\) represent placeholder numbers after performing row operations corresponding to their respective positions).
3. **Final Matrix:**
The final matrix should be in the form where the leading coefficient of each row is 1, and all other elements in the column containing the leading coefficient are zeros. This is achieved after all necessary row operations are performed.
---
### Conclusion
Performing these steps results in the reduced row echelon form of the
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by stepSolved in 5 steps with 4 images

Knowledge Booster
Similar questions
- Table or matrix pleasearrow_forwardWhich of the following are valid elementary row operation, and if the operation is valid, which type of operation is it? 1. Multiply row 2 by –5. а. b. Add 4 times row 3 to row 6. с. Add 5 to every entry in row 2. d. Divide row 3 by 7. е. Exchange row 2 and row 5. f. Replace row 5 with row 2. g. Subtract 3 times row 5 from row 2. h. Add 4 times row 2 and 6 times row 3 to row 6. i. Exchange column 2 and column 4. j. Replace row 3 with 2 times row 4 minus row 3. Replace row 3 with row 3 minus 2 times row 4. Replace row 2 with row 4, row 4 with row 5, and row 5 with the original row 2. k. 1.arrow_forwardPlease select abc or darrow_forward
- Determine reduced row echleon form with stepsarrow_forwardDetermine whether the statement below is true or false. Justify the answer. A5x6 matrix has six rows. Choose the correct answer below. A. The statement is true. A 5x6 matrix has six columns and six rows. B. The statement is false. A 5x6 matrix has five rows and six columns. C. The statement is true. A 5x6 matrix has five columns and six rows. D. The statement is false. A 5x6 matrix has five rows and five columns.arrow_forwardI believe A is correct, but I am not sure about w. It needs to be written as a fraction. Thanks!arrow_forward
- Find the elementary row operation that transforms the first matrix into the second, and then find the reverse operation that transforms the second matrix into the first. 4 - 4 1 4 - 4 1 - 8 - 2 - 8 1 - 8 1 8 0 - 2 ... Find the elementary row operation that transforms the first matrix into the second. Choose the correct answer below. O A. Interchange row 2 and row 3. B. Multiply row 3 by Oc. Multiply row 1 by and add the result to row 3. D. Interchange row 1 and row 2. O Oarrow_forwardDetermine if the statement is true or false.Different sequences of row operations can lead to different echelon forms for the same matrix.Explain why it is true/false.arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- Advanced Engineering MathematicsAdvanced MathISBN:9780470458365Author:Erwin KreyszigPublisher:Wiley, John & Sons, IncorporatedNumerical Methods for EngineersAdvanced MathISBN:9780073397924Author:Steven C. Chapra Dr., Raymond P. CanalePublisher:McGraw-Hill EducationIntroductory Mathematics for Engineering Applicat...Advanced MathISBN:9781118141809Author:Nathan KlingbeilPublisher:WILEY
- Mathematics For Machine TechnologyAdvanced MathISBN:9781337798310Author:Peterson, John.Publisher:Cengage Learning,

Advanced Engineering Mathematics
Advanced Math
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Wiley, John & Sons, Incorporated

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...
Advanced Math
ISBN:9781118141809
Author:Nathan Klingbeil
Publisher:WILEY

Mathematics For Machine Technology
Advanced Math
ISBN:9781337798310
Author:Peterson, John.
Publisher:Cengage Learning,

