Find a basis for the subspace of R* spanned by S. S = {(5, 9, –5, 53), (-3, 5, 3, -5), (8, –3, –8, 17), (0, –3, 0, 15)}

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Find a basis for the subspace of \( \mathbb{R}^4 \) spanned by \( S \).**

\[ S = \{(5, 9, -5, 53), (-3, 5, 3, -5), (8, -3, -8, 17), (0, -3, 0, 15)\} \]

### Visual Explanation:

The image shows a matrix concept where each provided vector from set \( S \) is to be considered as either rows or columns of a matrix. The goal is to determine the basis for the span of these vectors.

1. **Matrix Representation (Not explicitly shown):**

   - The vectors are transformed into a matrix format, where each vector could potentially be a row in the matrix.
   - The empty boxes suggest places where elements of \( S \) will be fitted either as columns or rows.

2. **Arrow Indicators:**

   - **Downward Arrows:** These imply operations that might involve row reduction or selecting linearly independent rows/columns.
   - **Rightward Arrows:** Indicate the transformation or shift where parts of the matrix are considered in determining independence, possibly involving Gaussian elimination or pivoting.

3. **Objective:**

   - The objective is to manipulate these vectors/matrix to find the linearly independent set that serves as a basis for the subspace spanned by \( S \). This involves identifying vectors that provide the maximum independent span without redundancy.

This type of vector analysis is typically solved by forming the associated matrix from \( S \) and performing row reduction (Gaussian elimination) to achieve row-echelon form. The non-zero rows act as a basis for the subspace in \( \mathbb{R}^4 \) spanned by the set \( S \).
Transcribed Image Text:**Find a basis for the subspace of \( \mathbb{R}^4 \) spanned by \( S \).** \[ S = \{(5, 9, -5, 53), (-3, 5, 3, -5), (8, -3, -8, 17), (0, -3, 0, 15)\} \] ### Visual Explanation: The image shows a matrix concept where each provided vector from set \( S \) is to be considered as either rows or columns of a matrix. The goal is to determine the basis for the span of these vectors. 1. **Matrix Representation (Not explicitly shown):** - The vectors are transformed into a matrix format, where each vector could potentially be a row in the matrix. - The empty boxes suggest places where elements of \( S \) will be fitted either as columns or rows. 2. **Arrow Indicators:** - **Downward Arrows:** These imply operations that might involve row reduction or selecting linearly independent rows/columns. - **Rightward Arrows:** Indicate the transformation or shift where parts of the matrix are considered in determining independence, possibly involving Gaussian elimination or pivoting. 3. **Objective:** - The objective is to manipulate these vectors/matrix to find the linearly independent set that serves as a basis for the subspace spanned by \( S \). This involves identifying vectors that provide the maximum independent span without redundancy. This type of vector analysis is typically solved by forming the associated matrix from \( S \) and performing row reduction (Gaussian elimination) to achieve row-echelon form. The non-zero rows act as a basis for the subspace in \( \mathbb{R}^4 \) spanned by the set \( S \).
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