Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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# Matrix Theory: True or False Statements

**Instructions:**
Mark each statement T if the statement is always true or F if it’s ever false. All \( A \), \( B \), \( C \), and \( D \) are matrices, and \( I \) is the identity matrix. Do not assume anything beyond what is explicitly stated.

**Statements:**

(a) If \( A \) and \( B \) are \( m \times n \) matrices, then both products \( AB^\top \) and \( A^\top B \) are defined.

(b) If \( C = D \), then \( BC = BD \).

(c) If \( BC = BD \), then \( C = D \).

(d) Every square matrix is the product of elementary matrices.

(e) If \( AB = I \), then \( A \) is invertible.

(f) For any \( A \), \( \text{det} (-A) = -\text{det} A \).

(g) If \( A \) and \( B \) are square matrices with \( \text{det}(A) = 2 \) and \( \text{det}(B) = 3 \), then \( \text{det}(A + B) = 5 \).

(h) If two rows of a square matrix \( A \) are the same, then \( \text{det} A = 0 \).

(i) If \( \text{det} A = 5 \), then \( A \) is invertible and \( \text{det}(A^{-1}) = \frac{1}{5} \).

(j) If \( A^2 = 0 \), then \( A \) is singular.

### Detailed Explanations:

* **Statement (a):**
  - **Analysis:** For the products \( AB^\top \) and \( A^\top B \) to be defined, the inner dimensions of the resulting matrices must match. Both matrices \( A \) and \( B \) are \( m \times n \), so \( B^\top \) (the transpose of \( B \)) would be \( n \times m \). Thus, \( AB^\top \) would result in an \( m \times m \) matrix, and \( A^\top \) would be \( n \times m \) while \( B \) remains \( m \times n
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Transcribed Image Text:# Matrix Theory: True or False Statements **Instructions:** Mark each statement T if the statement is always true or F if it’s ever false. All \( A \), \( B \), \( C \), and \( D \) are matrices, and \( I \) is the identity matrix. Do not assume anything beyond what is explicitly stated. **Statements:** (a) If \( A \) and \( B \) are \( m \times n \) matrices, then both products \( AB^\top \) and \( A^\top B \) are defined. (b) If \( C = D \), then \( BC = BD \). (c) If \( BC = BD \), then \( C = D \). (d) Every square matrix is the product of elementary matrices. (e) If \( AB = I \), then \( A \) is invertible. (f) For any \( A \), \( \text{det} (-A) = -\text{det} A \). (g) If \( A \) and \( B \) are square matrices with \( \text{det}(A) = 2 \) and \( \text{det}(B) = 3 \), then \( \text{det}(A + B) = 5 \). (h) If two rows of a square matrix \( A \) are the same, then \( \text{det} A = 0 \). (i) If \( \text{det} A = 5 \), then \( A \) is invertible and \( \text{det}(A^{-1}) = \frac{1}{5} \). (j) If \( A^2 = 0 \), then \( A \) is singular. ### Detailed Explanations: * **Statement (a):** - **Analysis:** For the products \( AB^\top \) and \( A^\top B \) to be defined, the inner dimensions of the resulting matrices must match. Both matrices \( A \) and \( B \) are \( m \times n \), so \( B^\top \) (the transpose of \( B \)) would be \( n \times m \). Thus, \( AB^\top \) would result in an \( m \times m \) matrix, and \( A^\top \) would be \( n \times m \) while \( B \) remains \( m \times n
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