Problem 7 [1 -1 0 0 10-4 7 If A = 0010 6 0000 0 A) Find a basis for Col A -27 B) Find a basis for Nul A

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
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Linear algebra #7 plss
### 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.
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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