Determine whether the following set is a real vector space (and select what fails if it is not). The set of all upper triangular n xn matrices Closure under Addition Closure under Scalar Multiplication O Commutativity of Addition Associativity of Addition Existence of Zero Vector Existence of Additive Inverses O Multiplicative Identity Associativity of Scalar Multiplication Distributivity over Vector Addition O Distributivity over Scalar Addition O The set is a real vector space.
Determine whether the following set is a real vector space (and select what fails if it is not). The set of all upper triangular n xn matrices Closure under Addition Closure under Scalar Multiplication O Commutativity of Addition Associativity of Addition Existence of Zero Vector Existence of Additive Inverses O Multiplicative Identity Associativity of Scalar Multiplication Distributivity over Vector Addition O Distributivity over Scalar Addition O The set is a real vector space.
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:### Determine Whether the Following Set is a Real Vector Space
Evaluate whether the given set is a real vector space, and select the properties that do not hold if it is not a real vector space.
#### The set of all upper triangular \( n \times n \) matrices
1. ☐ Closure under Addition
2. ☐ Closure under Scalar Multiplication
3. ☐ Commutativity of Addition
4. ☐ Associativity of Addition
5. ☐ Existence of Zero Vector
6. ☐ Existence of Additive Inverses
7. ☐ Multiplicative Identity
8. ☐ Associativity of Scalar Multiplication
9. ☐ Distributivity over Vector Addition
10. ☐ Distributivity over Scalar Addition
11. ☐ The set is a real vector space.
### Explanation
To check if the set of all upper triangular \( n \times n \) matrices forms a real vector space, the following properties must hold:
1. **Closure under Addition:** The sum of any two upper triangular matrices must also be an upper triangular matrix.
2. **Closure under Scalar Multiplication:** Any upper triangular matrix multiplied by a scalar should remain an upper triangular matrix.
3. **Commutativity of Addition:** For any two upper triangular matrices \(A\) and \(B\), \(A + B = B + A\).
4. **Associativity of Addition:** For any three upper triangular matrices \(A\), \(B\), and \(C\), \((A + B) + C = A + (B + C)\).
5. **Existence of Zero Vector:** The set must include the zero matrix, which is an upper triangular matrix.
6. **Existence of Additive Inverses:** For every upper triangular matrix \(A\), there must exist an upper triangular matrix \(-A\) such that \(A + (-A) = 0\).
7. **Multiplicative Identity:** This does not apply directly because we are dealing with vector spaces, not necessarily fields or rings.
8. **Associativity of Scalar Multiplication:** For any scalar \(c\) and any upper triangular matrices \(A\) and \(B\), \(c(A + B) = cA + cB\).
9. **Distributivity over Vector Addition:** For any scalars \(c\) and \(d\) and any upper triangular matrix \(A\
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