Give the rank and the nullity of the matrix. - [3 3] rank(A) nullity(A) A = = = 10-1 3 3

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Matrix Rank and Nullity Calculation**

*Problem Statement:*  
Determine the rank and the nullity of the matrix \( A \).

*Matrix \( A \)*:
\[ 
A = \begin{bmatrix} 
1 & 0 & -1 \\ 
3 & 3 & 3 
\end{bmatrix} 
\]

*Definitions*:
- **Rank of a Matrix**: The rank is the dimension of the column space (or row space) of the matrix. It represents the number of linearly independent columns.
- **Nullity of a Matrix**: The nullity is the dimension of the kernel (or null space) of the matrix. It represents the number of solutions to the homogeneous equation \( A\mathbf{x} = \mathbf{0} \) other than the trivial solution.

*Statement to Solve:*
- rank(A) = [ ]
- nullity(A) = [ ] 

*Conceptual Explanation*:
- For a matrix with \( m \) columns, the rank and nullity are related by the equation: \[ \text{rank}(A) + \text{nullity}(A) = m \] 

Please compute the required values for \( \text{rank}(A) \) and \( \text{nullity}(A) \) using these definitions and equations.
Transcribed Image Text:**Matrix Rank and Nullity Calculation** *Problem Statement:* Determine the rank and the nullity of the matrix \( A \). *Matrix \( A \)*: \[ A = \begin{bmatrix} 1 & 0 & -1 \\ 3 & 3 & 3 \end{bmatrix} \] *Definitions*: - **Rank of a Matrix**: The rank is the dimension of the column space (or row space) of the matrix. It represents the number of linearly independent columns. - **Nullity of a Matrix**: The nullity is the dimension of the kernel (or null space) of the matrix. It represents the number of solutions to the homogeneous equation \( A\mathbf{x} = \mathbf{0} \) other than the trivial solution. *Statement to Solve:* - rank(A) = [ ] - nullity(A) = [ ] *Conceptual Explanation*: - For a matrix with \( m \) columns, the rank and nullity are related by the equation: \[ \text{rank}(A) + \text{nullity}(A) = m \] Please compute the required values for \( \text{rank}(A) \) and \( \text{nullity}(A) \) using these definitions and equations.
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Step 1: Reduce A to echelon form

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