7. Find the values of p and q so that Nul A is a subspace of RP and Col A is a subspace of R'. 4 A = 1 -2 6. 1 1

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Problem 7: Determining Subspace Dimensions**

Find the values of \( p \) and \( q \) so that \(\text{Nul } A\) is a subspace of \(\mathbb{R}^p\) and \(\text{Col } A\) is a subspace of \(\mathbb{R}^q\).

The matrix \( A \) is given by:

\[
A = \begin{bmatrix}
4 & 5 & -2 & 6 & 0 \\
1 & 1 & 0 & 1 & 0 
\end{bmatrix}
\]

**Explanation:**

This problem requires you to determine the appropriate dimensions for the null space and column space of the matrix \( A \), based on its structure. The row count of \( A \) determines the dimension related to the column space, while the column count informs the dimension for the null space.

- **Null Space (\(\text{Nul } A\))**: The null space of a matrix \( A \) consists of all vectors \( x \) such that \( Ax = 0 \). The dimension of the null space is calculated as the number of columns minus the rank of the matrix.

- **Column Space (\(\text{Col } A\))**: The column space consists of all possible linear combinations of the column vectors of \( A \). The dimension of the column space is equal to the rank of the matrix.

In this case, identify the rank of \( A \) to find the dimensions of both spaces, and subsequently, the values of \( p \) and \( q \).
Transcribed Image Text:**Problem 7: Determining Subspace Dimensions** Find the values of \( p \) and \( q \) so that \(\text{Nul } A\) is a subspace of \(\mathbb{R}^p\) and \(\text{Col } A\) is a subspace of \(\mathbb{R}^q\). The matrix \( A \) is given by: \[ A = \begin{bmatrix} 4 & 5 & -2 & 6 & 0 \\ 1 & 1 & 0 & 1 & 0 \end{bmatrix} \] **Explanation:** This problem requires you to determine the appropriate dimensions for the null space and column space of the matrix \( A \), based on its structure. The row count of \( A \) determines the dimension related to the column space, while the column count informs the dimension for the null space. - **Null Space (\(\text{Nul } A\))**: The null space of a matrix \( A \) consists of all vectors \( x \) such that \( Ax = 0 \). The dimension of the null space is calculated as the number of columns minus the rank of the matrix. - **Column Space (\(\text{Col } A\))**: The column space consists of all possible linear combinations of the column vectors of \( A \). The dimension of the column space is equal to the rank of the matrix. In this case, identify the rank of \( A \) to find the dimensions of both spaces, and subsequently, the values of \( p \) and \( q \).
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