1) a) Let's start with 2x2 matrices. We have addition and scalar multiplication defined for these objects. Explain how to do both for these objects to someone who is new to matrices. b) Do we have closure under these operations? Explain what closure under the operations means and then explain why/why not each operation is/is not closed. c) Does it seem reasonable that the 8 axioms will hold for these objects? If not find one that you think will not work and show it does not work (you an use an actual example with numbers). If so pick 2 of the axioms and explain how they hold for the objects (do not use numbers in your matrices- these should hold for ALL 2x2 matrices remember). 8 axioms are attached below.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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1)

a) Let's start with 2x2 matrices. We have addition and scalar multiplication defined for these objects. Explain how to do both for these objects to someone who is new to matrices.

b) Do we have closure under these operations? Explain what closure under the operations means and then explain why/why not each operation is/is not closed.

c) Does it seem reasonable that the 8 axioms will hold for these objects? If not find one that you think will not work and show it does not work (you an use an actual example with numbers). If so pick 2 of the axioms and explain how they hold for the objects (do not use numbers in your matrices- these should hold for ALL 2x2 matrices remember). 8 axioms are attached below.

1. Associativity: u + (v + w) = (u + v) + w
2. Commutativity: u + v = v + u
3. Zero element: There is an element 0 e V, such that 0 + v = v + 0 = v.
4. Inverse: For every element v in v, there is an element –v in V such that v + (-v) = 0
5. Compatibility of scalar multiplication: For every scalars a, b and a vector v,
a (bv) = (ab)v.
6. Identity element of scalar multiplication: 1v = v, where 1 is the multiplicative identity
of the field.
7. Distributive property: a (u + v) = au + av
8. (a + b)v = av + bv
Transcribed Image Text:1. Associativity: u + (v + w) = (u + v) + w 2. Commutativity: u + v = v + u 3. Zero element: There is an element 0 e V, such that 0 + v = v + 0 = v. 4. Inverse: For every element v in v, there is an element –v in V such that v + (-v) = 0 5. Compatibility of scalar multiplication: For every scalars a, b and a vector v, a (bv) = (ab)v. 6. Identity element of scalar multiplication: 1v = v, where 1 is the multiplicative identity of the field. 7. Distributive property: a (u + v) = au + av 8. (a + b)v = av + bv
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