nswer the following questions, and then explain why you know this to be the case. State a neorem or definition that applies. If a 7x5 matrix A has rank 2, find dim Nul A, dim Row A, and rank A'. Suppose a 6x8 matrix A has 4 pivot columns. What is dim Nul A? Is Col A = R* ? Why or why not? If the null space of an 8x7 matrix is 5-dimensional, what is the dimension of the Col space of A?

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Transcription for Educational Website**

**Problem Set: Understanding Matrix Dimensions and Their Properties**

Answer the following questions, and then explain why you know this to be the case. State a theorem or definition that applies.

a. If a 7x5 matrix \( A \) has rank 2, find \(\dim \text{Nul } A\), \(\dim \text{Row } A\), and \(\text{rank } A^T\).

b. Suppose a 6x8 matrix \( A \) has 4 pivot columns. What is \(\dim \text{Nul } A\)? Is \(\text{Col } A = \mathbb{R}^4\)? Why or why not?

c. If the null space of an 8x7 matrix is 5-dimensional, what is the dimension of the Col space of A?

---

**Explanation of Concepts:**

- **Rank-Nullity Theorem**: For an \( m \times n \) matrix \( A \), the rank-nullity theorem states that \( \text{rank } A + \dim \text{Nul } A = n \), where \( n \) is the number of columns.
  
- **Column Space (Col space)**: The dimension of the column space is equal to the rank of the matrix.

- **Row Space**: The dimension of the row space is equal to the rank of the matrix.

- **Transpose Property**: The rank of a matrix and its transpose are equal, meaning \( \text{rank } A = \text{rank } A^T \).

---

**Notes on Interpretation:**

- Use these concepts to solve for the unknown dimensions in each problem.
- The interpretation of pivot columns relates to finding the rank and basis of the column space.
Transcribed Image Text:**Transcription for Educational Website** **Problem Set: Understanding Matrix Dimensions and Their Properties** Answer the following questions, and then explain why you know this to be the case. State a theorem or definition that applies. a. If a 7x5 matrix \( A \) has rank 2, find \(\dim \text{Nul } A\), \(\dim \text{Row } A\), and \(\text{rank } A^T\). b. Suppose a 6x8 matrix \( A \) has 4 pivot columns. What is \(\dim \text{Nul } A\)? Is \(\text{Col } A = \mathbb{R}^4\)? Why or why not? c. If the null space of an 8x7 matrix is 5-dimensional, what is the dimension of the Col space of A? --- **Explanation of Concepts:** - **Rank-Nullity Theorem**: For an \( m \times n \) matrix \( A \), the rank-nullity theorem states that \( \text{rank } A + \dim \text{Nul } A = n \), where \( n \) is the number of columns. - **Column Space (Col space)**: The dimension of the column space is equal to the rank of the matrix. - **Row Space**: The dimension of the row space is equal to the rank of the matrix. - **Transpose Property**: The rank of a matrix and its transpose are equal, meaning \( \text{rank } A = \text{rank } A^T \). --- **Notes on Interpretation:** - Use these concepts to solve for the unknown dimensions in each problem. - The interpretation of pivot columns relates to finding the rank and basis of the column space.
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