Find the column space of the 10 × 20 matrix A if the system Ax = b is solvable for every b. Justify your answer.
Find the column space of the 10 × 20 matrix A if the system Ax = b is solvable for every b. Justify your answer.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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
Transcribed Image Text:## Problem Statement
**Find the column space of the \(10 \times 20\) matrix \(A\) if the system \(A\mathbf{x} = \mathbf{b}\) is solvable for every \(\mathbf{b}\).**
### Explanation
1. **Matrix Dimensions and Column Space:**
- A matrix with dimensions \(10 \times 20\) means it has 10 rows and 20 columns.
- The column space of a matrix is the set of all possible linear combinations of its column vectors.
2. **System Solvability:**
- If the system \(A\mathbf{x} = \mathbf{b}\) is solvable for every vector \(\mathbf{b}\) in \(\mathbb{R}^{10}\), then the transformation represented by the matrix \(A\) must cover the entire space \(\mathbb{R}^{10}\).
3. **Full Column Rank:**
- For \(A\) to be solvable for every \(\mathbf{b}\), \(A\) must have full row rank. Therefore, the column space of \(A\) must be all of \(\mathbb{R}^{10}\).
4. **Conclusion:**
- The column space of \(A\) is \(\mathbb{R}^{10}\).
### Justification
Since the system is solvable for every \(\mathbf{b}\) in \(\mathbb{R}^{10}\), \(A\) covers the entire \(\mathbb{R}^{10}\) space, which implies that the column space of \(A\) spans \(\mathbb{R}^{10}\).
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