4 20 8 - 12 Let A = 15 2 -3 0 0 0 Compute rank of A = nullity of A = rank of A + nullity of A = Add Work

Algebra and Trigonometry (6th Edition)
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Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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**Matrix Theory**

Consider the matrix \( A \):

\[
A = \begin{bmatrix}
4 & 20 & 8 & -12 \\
1 & 5 & 2 & -3 \\
0 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 \\
\end{bmatrix}
\]

**Objective:**

Compute the following:
1. Rank of \( A \)
2. Nullity of \( A \)
3. Sum of the rank and nullity of \( A \)

**Formulas to use:**

- **Rank of a Matrix**: The rank of a matrix is the maximum number of linearly independent row vectors in the matrix.
- **Nullity of a Matrix**: Nullity is the dimension of the null space of the matrix, which is the number of solutions to the equation \( A \mathbf{x} = 0 \).
- **Rank-Nullity Theorem**: This theorem states that the sum of the rank and nullity of a matrix \( A \) is equal to the number of columns of \( A \).

**Enter your computations:**

\[
\begin{aligned}
&\text{rank of } A = \quad \_\_\_\_\_ \\
&\text{nullity of } A = \quad \_\_\_\_\_ \\
&\text{rank of } A + \text{ nullity of } A = \quad \_\_\_\_\_ \\
\end{aligned}
\]

**Visuals:**

(Note: No graphs or diagrams are present in the image provided. Described computations need to be manually calculated based on the given matrix \( A \).)

**Interactive Element:**

Click the "Add Work" button to provide detailed steps of your computation (if available on the educational website interface).
Transcribed Image Text:**Matrix Theory** Consider the matrix \( A \): \[ A = \begin{bmatrix} 4 & 20 & 8 & -12 \\ 1 & 5 & 2 & -3 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ \end{bmatrix} \] **Objective:** Compute the following: 1. Rank of \( A \) 2. Nullity of \( A \) 3. Sum of the rank and nullity of \( A \) **Formulas to use:** - **Rank of a Matrix**: The rank of a matrix is the maximum number of linearly independent row vectors in the matrix. - **Nullity of a Matrix**: Nullity is the dimension of the null space of the matrix, which is the number of solutions to the equation \( A \mathbf{x} = 0 \). - **Rank-Nullity Theorem**: This theorem states that the sum of the rank and nullity of a matrix \( A \) is equal to the number of columns of \( A \). **Enter your computations:** \[ \begin{aligned} &\text{rank of } A = \quad \_\_\_\_\_ \\ &\text{nullity of } A = \quad \_\_\_\_\_ \\ &\text{rank of } A + \text{ nullity of } A = \quad \_\_\_\_\_ \\ \end{aligned} \] **Visuals:** (Note: No graphs or diagrams are present in the image provided. Described computations need to be manually calculated based on the given matrix \( A \).) **Interactive Element:** Click the "Add Work" button to provide detailed steps of your computation (if available on the educational website interface).
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