--- ### Question **Determine the rank of the following matrices:** (a) \[ \begin{bmatrix} 1 & 1 \\ 2 & 2 \\ \end{bmatrix} \] (b) \[ \begin{bmatrix} 2 & -2 \\ 1 & 2 \\ \end{bmatrix} \] ### Explanation Matrix (a) is a \(2 \times 2\) matrix with identical columns, suggesting potential linear dependence, which is relevant for determining the rank. Matrix (b) is also a \(2 \times 2\) matrix with different values in each entry, indicating the possibility of both columns being linearly independent. The rank of a matrix is defined as the maximum number of linearly independent column vectors in the matrix, which also equals the number of non-zero rows when the matrix is in row echelon form. ---

Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
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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### Question

**Determine the rank of the following matrices:**

(a) 

\[
\begin{bmatrix}
1 & 1 \\
2 & 2 \\
\end{bmatrix}
\]

(b) 

\[
\begin{bmatrix}
2 & -2 \\
1 & 2 \\
\end{bmatrix}
\]

### Explanation

Matrix (a) is a \(2 \times 2\) matrix with identical columns, suggesting potential linear dependence, which is relevant for determining the rank.

Matrix (b) is also a \(2 \times 2\) matrix with different values in each entry, indicating the possibility of both columns being linearly independent.

The rank of a matrix is defined as the maximum number of linearly independent column vectors in the matrix, which also equals the number of non-zero rows when the matrix is in row echelon form.

---
Transcribed Image Text:--- ### Question **Determine the rank of the following matrices:** (a) \[ \begin{bmatrix} 1 & 1 \\ 2 & 2 \\ \end{bmatrix} \] (b) \[ \begin{bmatrix} 2 & -2 \\ 1 & 2 \\ \end{bmatrix} \] ### Explanation Matrix (a) is a \(2 \times 2\) matrix with identical columns, suggesting potential linear dependence, which is relevant for determining the rank. Matrix (b) is also a \(2 \times 2\) matrix with different values in each entry, indicating the possibility of both columns being linearly independent. The rank of a matrix is defined as the maximum number of linearly independent column vectors in the matrix, which also equals the number of non-zero rows when the matrix is in row echelon form. ---
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