- {x|f, 7(x) dx = 17. V = C[a, b], S = 0 0

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Is S closed under addition, scalar multiplication, and is S a subspace of V?

 

(number 17 on picture)

Here is the transcription of the text suitable for an educational website:

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11. \( V = M_{33}, \, S = \{ A \mid A \text{ is invertible} \} \)

12. \( V = M_{33}, \, S = \{ A \mid a_{11} + a_{22} + a_{33} = 0 \} \)

13. \( V = M_{44}, \, S = \{ A \mid a_{11} + a_{22} + a_{33} + a_{44} = 0 \} \)

14. \( V = M_{22}, \, S = \{ A \mid A \text{ is singular} \} \)

15. \( V = C[a, b], \, S = \{ f \mid f(a) = 0 \} \)

16. \( V = C[a, b], \, S = \{ f \mid f(a) = 1 \} \)

17. \( V = C[a, b], \, S = \left\{ f \mid \int_{a}^{b} f(x) \, dx = 0 \right\} \)

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**Explanation:**

These are mathematical representations used to define sets \( S \) within different vector spaces \( V \). The elements in these sets satisfy specific conditions:

- **11.** The set \( S \) consists of all invertible matrices \( A \) within the space \( M_{33} \) (3x3 matrices).
- **12.** The set \( S \) includes all 3x3 matrices \( A \) where the sum of the diagonal elements is zero.
- **13.** Similar to 12, but for 4x4 matrices within the space \( M_{44} \).
- **14.** The set \( S \) consists of all singular matrices (non-invertible) within the space \( M_{22} \) (2x2 matrices).
- **15.** The set \( S \) contains all functions in the continuous function space \( C[a, b] \) such that the function evaluates to zero at \( a \).
- **16.** Similar to 15, but the function evaluates to one at \( a \).
- **17.** The set \( S \) consists of all functions
Transcribed Image Text:Here is the transcription of the text suitable for an educational website: --- 11. \( V = M_{33}, \, S = \{ A \mid A \text{ is invertible} \} \) 12. \( V = M_{33}, \, S = \{ A \mid a_{11} + a_{22} + a_{33} = 0 \} \) 13. \( V = M_{44}, \, S = \{ A \mid a_{11} + a_{22} + a_{33} + a_{44} = 0 \} \) 14. \( V = M_{22}, \, S = \{ A \mid A \text{ is singular} \} \) 15. \( V = C[a, b], \, S = \{ f \mid f(a) = 0 \} \) 16. \( V = C[a, b], \, S = \{ f \mid f(a) = 1 \} \) 17. \( V = C[a, b], \, S = \left\{ f \mid \int_{a}^{b} f(x) \, dx = 0 \right\} \) --- **Explanation:** These are mathematical representations used to define sets \( S \) within different vector spaces \( V \). The elements in these sets satisfy specific conditions: - **11.** The set \( S \) consists of all invertible matrices \( A \) within the space \( M_{33} \) (3x3 matrices). - **12.** The set \( S \) includes all 3x3 matrices \( A \) where the sum of the diagonal elements is zero. - **13.** Similar to 12, but for 4x4 matrices within the space \( M_{44} \). - **14.** The set \( S \) consists of all singular matrices (non-invertible) within the space \( M_{22} \) (2x2 matrices). - **15.** The set \( S \) contains all functions in the continuous function space \( C[a, b] \) such that the function evaluates to zero at \( a \). - **16.** Similar to 15, but the function evaluates to one at \( a \). - **17.** The set \( S \) consists of all functions
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