Vector space properties: distributivity

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The discussion revolves around proving the vector space property that \((\alpha - \beta)\overrightarrow{a} = \alpha \overrightarrow{a} - \beta \overrightarrow{a}\) using vector space axioms. The user is attempting to demonstrate that \((- \beta) \overrightarrow{a} = -(\beta \overrightarrow{a})\) but struggles with proving the uniqueness of symmetric elements. Participants suggest leveraging the properties of vector addition and the definition of a function to establish the necessary proofs. The conversation emphasizes the importance of clarity in the axioms used and the uniqueness of vector operations. The overall focus remains on finding a straightforward proof method within the constraints of vector space definitions.
member 587159

Homework Statement


I want to proof, using the axioms of a vector space, that:

##(\alpha - \beta)\overrightarrow a = \alpha \overrightarrow a - \beta \overrightarrow a##

Homework Equations



Definition vector space:

The Attempt at a Solution



##(\alpha - \beta)\overrightarrow a = (\alpha + (-\beta))\overrightarrow a = \alpha \overrightarrow a + (-\beta) \overrightarrow a##

I'm stuck here, I want to show that:

##(-\beta) \overrightarrow a = -(\beta \overrightarrow a)##

I showed that both have the same symmetric element. But I did not show that symmetric elements are unique. Is there an easier way as this is an exercise and I think I'm overseeing something.

EDIT: I cannot use ##(-1)\overrightarrow a = - \overrightarrow a##
 
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Math_QED said:
I cannot use ##(-1)\overrightarrow a = - \overrightarrow a## \overrightarrow a##

Then prove it, so you can use it.
 
micromass said:
Then prove it, so you can use it.

That's funny, because I already proved it but it uses this result.

Can I derive, from the definition of vector space that:

##\overrightarrow a + \overrightarrow b = \overrightarrow a+ \overrightarrow c \Rightarrow \overrightarrow b = \overrightarrow c##. If yes, I can show uniqueness of inverse elements and then it's proven. Is there an easier way?
 
Math_QED said:
That's funny, because I already proved it but it uses this result.

Can I derive, from the definition of vector space that:

##\overrightarrow a + \overrightarrow b = \overrightarrow a+ \overrightarrow c \Rightarrow \overrightarrow b = \overrightarrow c##.

Yes, you should be able to derive this easily

If yes, I can show uniqueness of inverse elements and then it's proven. Is there an easier way?

This is the easiest way imo.
 
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micromass said:
Yes, you should be able to derive this easily

I don't see how I can derive it that easily. Can you give me a hint?
 
Math_QED said:
I don't see how I can derive it that easily. Can you give me a hint?

Add the additive inverse of ##a##.
 
micromass said:
Add the additive inverse of ##a##.

Yeah, thought about that too. Why am I allowed to do that on both sides?
 
Math_QED said:
Yeah, thought about that too. Why am I allowed to do that?

What's wrong with it?
 
micromass said:
What's wrong with it?

I would use the property then, which I did not prove:

a + b = a + c => a + c + d = a + c + d
 
  • #10
Addition is a function.
 
  • #11
micromass said:
Addition is a function.

Yes, for vectors:

##+ : V \times V \rightarrow V## but how can I conclude that then?
 
  • #12
What does it mean by definition that ##+## is a function?
 
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  • #13
micromass said:
What does it mean by definition that ##+## is a function?

It means that:

##+ \subset ((V \times V) \times V)## such that for every 2 vectors ##(\overrightarrow x, \overrightarrow y) \in (V \times V)## there is a unique vector ##\overrightarrow z \in V## such that ##+(\overrightarrow x, \overrightarrow y) = \overrightarrow z##
 
  • #14
Math_QED said:
It means that:

##+ \subset ((V \times V) \times V)## such that for every 2 vectors ##(\overrightarrow x, \overrightarrow y) \in (V \times V)## there is a unique vector ##\overrightarrow z \in V## such that ##+(\overrightarrow x, \overrightarrow y) = \overrightarrow z##

And do you see that it means that if ##x=x'## and ##y = y'## then ##+(x,y) = +(x',y')##? To prove this, let ##z = +(x,y) = +(x',y')## and use uniqueness of ##z##.
 
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  • #15
micromass said:
And do you see that it means that if ##x=x'## and ##y = y'## then ##+(x,y) = +(x',y')##? To prove this, let ##z = +(x,y) = +(x',y')## and use uniqueness of ##z##.

Hm let me try:

Proof: Let ##(x,y) \in V \times V##

Then, there is a unique ##z \in V## such that ##z = +(x,y)##. But, since x = x' and y = y', we have that ##+(x',y') = z## too. Since z is unique, we conclude that ##+(x',y') = +(x,y)##
 
  • #16
Math_QED said:

Homework Statement


I want to proof, using the axioms of a vector space, that:

##(\alpha - \beta)\overrightarrow a = \alpha \overrightarrow a - \beta \overrightarrow a##

Homework Equations



Definition vector space:

The Attempt at a Solution



##(\alpha - \beta)\overrightarrow a = (\alpha + (-\beta))\overrightarrow a = \alpha \overrightarrow a + (-\beta) \overrightarrow a##

I'm stuck here, I want to show that:

##(-\beta) \overrightarrow a = -(\beta \overrightarrow a)##

I showed that both have the same symmetric element. But I did not show that symmetric elements are unique. Is there an easier way as this is an exercise and I think I'm overseeing something.

EDIT: I cannot use ##(-1)\overrightarrow a = - \overrightarrow a##

How you can or should do it depends on exactly what vector-space axioms you start with. I have seen different books using different systems of axioms, so being very precise at this point is important.

BTW: you cannot "proof" something, but you might be able to prove it, or to give a proof.
 
  • #17
Ray Vickson said:
How you can or should do it depends on exactly what vector-space axioms you start with. I have seen different books using different systems of axioms, so being very precise at this point is important.

BTW: you cannot "proof" something, but you might be able to prove it, or to give a proof.

V is a commutative group for addition and for the scalar multiplication we have:

##1\overrightarrow a = \overrightarrow a##
##(\alpha \beta)\overrightarrow a = \alpha (\beta \overrightarrow a)##
##(\alpha + \beta)\overrightarrow a = \alpha \overrightarrow a + \beta \overrightarrow a##
##\alpha (\overrightarrow a + \overrightarrow b) = \alpha \overrightarrow a + \alpha \overrightarrow b##

where ##\alpha, \beta \in \mathbb{K}, \overrightarrow a, \overrightarrow b \in V##
 

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