Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.2: Direct Methods For Solving Linear Systems
Problem 3CEXP
Related questions
Question
![### Linear Algebra: Basis and Eigenvalues Problems
#### Problem 7
**Given Matrix:**
\[ A = \begin{pmatrix} 1 & -1 & 0 & 3 & -2 \\ 0 & 1 & 0 & -4 & 7 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 6 \end{pmatrix} \]
(A) **Find a basis for Col A**
(B) **Find a basis for Nul A**
---
#### Problem 8
**Given Matrix:**
\[ \text{Let} \quad A = \begin{pmatrix} 5 & 2 \\ 2 & 8 \end{pmatrix} \]
**Calculate the eigenvalues \(\lambda_1\) and \(\lambda_2\) of A, and the corresponding eigenvectors \(\mathbf{v}_1\) and \(\mathbf{v}_2\)**
---
### Instructions
1. **Basis for the Column Space (Col A):**
- The column space of matrix \(A\) (Col \( A \)) is the span of the linearly independent columns of \(A\).
2. **Basis for the Null Space (Nul A):**
- The null space of matrix \(A\) (Nul \(A\)) is the set of all solutions to the equation \(A\mathbf{x} = \mathbf{0}\).
3. **Eigenvalues and Eigenvectors:**
- Eigenvalues \(\lambda\) and eigenvectors \(\mathbf{v}\) can be found by solving the characteristic equation \(\det(A - \lambda I) = 0\).
- Substitute each \(\lambda\) into the equation \((A - \lambda I)\mathbf{v} = \mathbf{0}\) to find the corresponding eigenvector \(\mathbf{v}\).
### Detailed Steps and Solutions
Please proceed with the step-by-step calculations for finding the bases for Col \( A \) and Nul \( A \), as well as the eigenvalues and eigenvectors for the given matrices.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F33eba9e5-eb7d-44a1-93e3-ed0ee897e17f%2F2ded1d09-b46e-4366-97a3-0898ad30ec3c%2F00vrlvk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Linear Algebra: Basis and Eigenvalues Problems
#### Problem 7
**Given Matrix:**
\[ A = \begin{pmatrix} 1 & -1 & 0 & 3 & -2 \\ 0 & 1 & 0 & -4 & 7 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 0 & 6 \end{pmatrix} \]
(A) **Find a basis for Col A**
(B) **Find a basis for Nul A**
---
#### Problem 8
**Given Matrix:**
\[ \text{Let} \quad A = \begin{pmatrix} 5 & 2 \\ 2 & 8 \end{pmatrix} \]
**Calculate the eigenvalues \(\lambda_1\) and \(\lambda_2\) of A, and the corresponding eigenvectors \(\mathbf{v}_1\) and \(\mathbf{v}_2\)**
---
### Instructions
1. **Basis for the Column Space (Col A):**
- The column space of matrix \(A\) (Col \( A \)) is the span of the linearly independent columns of \(A\).
2. **Basis for the Null Space (Nul A):**
- The null space of matrix \(A\) (Nul \(A\)) is the set of all solutions to the equation \(A\mathbf{x} = \mathbf{0}\).
3. **Eigenvalues and Eigenvectors:**
- Eigenvalues \(\lambda\) and eigenvectors \(\mathbf{v}\) can be found by solving the characteristic equation \(\det(A - \lambda I) = 0\).
- Substitute each \(\lambda\) into the equation \((A - \lambda I)\mathbf{v} = \mathbf{0}\) to find the corresponding eigenvector \(\mathbf{v}\).
### Detailed Steps and Solutions
Please proceed with the step-by-step calculations for finding the bases for Col \( A \) and Nul \( A \), as well as the eigenvalues and eigenvectors for the given matrices.
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