Proving that a set is a Vector Space - addition is defined very oddly

In summary: V, this doesn't seem to work. Can you please explain what I'm doing wrong?In summary, the axiom that says u + (v + w) must equal (u + v) + w does not always hold in this case. Also, the zero vector is not the additive identity of the vector space.
  • #1
JamesGold
39
0

Homework Statement



Let V = {0,1} with addition defined modulo 2 (i.e. the remainder upon division by 2), and scalar multiplication given by ku = u^k for all k in the real numbers and u in V. Is the set V a vector space?

Homework Equations



The 10 axioms!

The Attempt at a Solution



I understand that to determine if V is a vector space you need to establish the ten axioms, but I don't understand what my teacher means when she says addition is defined modulo 2. Does that mean that u + v = u%2? Or u + v = v%2? Or something else?
 
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  • #2
JamesGold said:

Homework Statement



Let V = {0,1} with addition defined modulo 2 (i.e. the remainder upon division by 2), and scalar multiplication given by ku = u^k for all k in the real numbers and u in V. Is the set V a vector space?

Homework Equations



The 10 axioms!

The Attempt at a Solution



I understand that to determine if V is a vector space you need to establish the ten axioms, but I don't understand what my teacher means when she says addition is defined modulo 2. Does that mean that u + v = u%2? Or u + v = v%2? Or something else?

It means that u+v (+ meaning the sum in your possible vector space) is equal to (u+v)%2 (+ here meaning the usual sum). You probably have more to worry about with your scalar multiplication.
 
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  • #3
Thanks for the response. I've got a couple more questions:

Does the axiom that says u + (v + w) must equal (u + v) + w apply in this case as there are only two vectors in the set?

This set seems to fail the test when you try to show that -u + u = 0. Using it on the first vector in the set gets you -0 = 0^-1 = 1/0 which is undefined. Therefore, this is not a vector space. Is that right?

Also, how do you make a distinction between a member of a set that happens to be zero and the zero vector? In this case they are one and the same but I imagine there will be some cases where that isn't true.
 
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  • #4
JamesGold said:
Thanks for the response. I've got a couple more questions:

Does the axiom that says u + (v + w) must equal (u + v) + w apply in this case as there are only two vectors in the set?

This set seems to fail the test when you try to show that -u + u = 0. Using it on the first vector in the set gets you -0 = 0^-1 = 1/0 which is undefined. Therefore, this is not a vector space. Is that right?

Also, how do you make a distinction between a member of a set that happens to be zero and the zero vector? In this case they are one and the same but I imagine there will be some cases where that isn't true.

Yes, you still have to show u + (v + w)=(u + v) + w. Associativity doesn't require that all three vectors have to be different. And -0=0^-1 is completely off the mark. So that doesn't work. And right on the third point. The element you label '0' doesn't have to be the additive identity of your vector space. But here it is. Can you show that? And to reiterate my previous hint, the problem is going to be with scalar multiplication, not with addition. Can you find it?
 
  • #5
Dick said:
And -0=0^-1 is completely off the mark. So that doesn't work.

What do you mean by this?
 
  • #6
When you say "-0= 0^{-1}" are you talking about the scalar 0 or the vector 0?
There is no "vector multiplication" defined on vector spaces so it makes no sense to talk about "0^{-1}" for the vector 0.

If you are talking about scalar multiplication, in "modulo 2", while it is true that "-0= 0" (that's true in any field), 0^{-1} is NOT 0- it does not exist. In "mod 2" arithmetic, we have the two members, 0 and 1 with addition defined by 0+ 0= 0, 1+ 1= 0, and 0+ 1= 1+ 0= 1. Multiplication is defined by 0*0= 0*1= 1*0= 0, and 1*1= 1. There is no x such that 0*x= 1 so 0 has no multiplicative inverse.
 
  • #7
I'm sorry; I'm still not understanding. Maybe I need to be more clear on what it is I was doing.

I'm testing this axiom: For every v ∈ V, there exists an element −v ∈ V, called the additive inverse of v, such that v + (−v) = 0.

In this case, there are only two vectors in V: 0 and 1. So I started with 0. If the axiom holds, then 0 + -0 = the zero vector. But because scalar multiplication was defined as ku = u^k, -0 is undefined. Therefore, this axiom cannot hold, and V is not a vector space.
 
  • #8
JamesGold said:
I'm sorry; I'm still not understanding. Maybe I need to be more clear on what it is I was doing.

I'm testing this axiom: For every v ∈ V, there exists an element −v ∈ V, called the additive inverse of v, such that v + (−v) = 0.

In this case, there are only two vectors in V: 0 and 1. So I started with 0. If the axiom holds, then 0 + -0 = the zero vector. But because scalar multiplication was defined as ku = u^k, -0 is undefined. Therefore, this axiom cannot hold, and V is not a vector space.

Yes, that could be problem if you phrase it correctly. There is really no problem with additive inverses. -u is the additive inverse of u. Since 0+0=0 and 1+1=0. -0=0 and -1=1. Since you don't necessarily know you have a vector space it may not be true that -u=(-1)*u. That is a problem if u=0. You might also think about what 0*u should be. What happens if u=1?
 

1. How do you prove that a set is a vector space?

To prove that a set is a vector space, you need to show that it satisfies the 10 axioms of vector spaces. These axioms include closure under addition and scalar multiplication, existence of a zero vector and additive inverses, and distributivity and associativity properties.

2. What does it mean for addition to be defined oddly in a vector space?

Addition being defined oddly in a vector space means that the usual rules of addition do not apply. For example, instead of adding two vectors component-wise, the addition operation may involve a different mathematical operation, such as multiplication or division.

3. Why would addition be defined oddly in a vector space?

Addition may be defined oddly in a vector space in order to satisfy the 10 axioms of vector spaces. It may also be used to model real-life situations where the usual rules of addition do not apply, such as in physics or economics.

4. How do you show that addition is defined oddly in a vector space?

To show that addition is defined oddly in a vector space, you can provide a specific example or counterexample that violates the usual rules of addition. You can also demonstrate how the addition operation in the vector space differs from the standard addition operation.

5. Can a set with an oddly defined addition be considered a vector space?

Yes, a set with an oddly defined addition can still be considered a vector space as long as it satisfies the 10 axioms of vector spaces. The definition of addition may be unconventional, but as long as the set follows the axioms, it can be considered a vector space.

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