Linear Algebra Proofs: Solving for Scalar and Vector Using Axioms

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Homework Help Overview

The discussion revolves around a linear algebra problem involving a scalar "a" and a vector "x" within a linear space "V". The original poster is tasked with proving that if the product of the scalar and vector equals the zero element of V, then either the scalar is zero or the vector is the zero vector. The proof must utilize specific axioms related to vector spaces.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the implications of the axioms provided, with some suggesting that the original poster may need to clarify whether they assume the axioms hold or if they need to prove them. There is a mention of related proofs that could inform the current problem, including proofs about the zero vector and scalar multiplication.

Discussion Status

The conversation is ongoing, with participants providing insights and asking clarifying questions. Some guidance has been offered regarding the use of axioms, and there is a recognition of the need to build upon previous proofs. However, there is no explicit consensus on the approach to take for the current proof.

Contextual Notes

Participants note that the zero vector is part of the axioms for a general vector space, which can be utilized in the proof. There is also a distinction made between assuming the axioms and needing to prove them, which may affect the approach to the problem.

TrapMuzik
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Hey all,

So I'm just starting a course in linear algebra, but I don't have much experience with proofs. This problem has been giving me some difficulty.

So we have a scalar "a" and vector x. V is a linear space, and x is contained in V. I have to show that if ax=0, where 0 is the zero element of V, then either a=0 (scalar) or x=0 (vector).

However, I must do the proof using the following axioms. I will briefly summarize them.

1. for every v1 and v2 there is a unique element in V equal to the sum of v1 and v2
2. same deal as above but with multiplication of a scalar and a vector
3. v1+v2=v2+v1
4. (v1+v2)+v3= v1 + (v2+v3)
5. existence of the element 0 (v+0=v)
6. v + (-1)v = 0
7. for scalars a and b, a(bv)=(ab)v
8. a(v1+v2)=av1 + av2
9. same deal as 8 but with one vector being multiplied by (a+b)
10. 1v=v

I was messing around with dividing things, but I don't think I can relate it to the axioms
 
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Hey TrapMuzik and welcome to the forums.

Do you assume the vector space axioms hold or do you have to prove them? (It looks like you assume them since you are talking about a general space).

The first part is just using the first axiom directly. The axioms are given here:

http://www.math.ucla.edu/~tao/resource/general/121.1.00s/vector_axioms.html

A lot of what you are saying follows directly from the definitions. For example the one involving three terms is just a special case of the one with two terms.
 
I should add that there are 3 proofs that I believe build on each other and may be of use for this problem.

The first is a proof that 0x= the zero vector

Let z=0x
z+z= 0x + 0x = (0+0)x (axiom 8) = 0x = z
so we have z+z=z, and by axiom 5 we get that z=0

The second proof is for a0=0
It's the same method as used for the above proof.

The third proof is to show that (-a)x=-(ax)=a(-x)
let z = (-a)x
z + ax = (-a)x + ax = (-a+a)x = 0x = 0 (using axiom 9)
From this we get z= -(ax).
In the same way, if we add a(-x) to ax and use axiom 8/what we proved in the second proof, we get a(-x)=-(ax)

Okay so I think we have to somehow build off of these proofs for the next one...
I'm sure there is a simple proof that is evading me. Any tips/ideas?
 
Hi chiro,

I may have to go about showing that this space meets all of the axioms, now that you mention it. Thanks for your help!
 
The zero vector is part of the axioms for a general vector space so you can use that for free.

If you have to prove the axioms for a general vector space, then that's a different matter altogether. Do you have to prove the rest of the axioms for the vector space given the initial ones as opposed to proving a set of specific results where you can assume all the base axioms?
 
For this question we are assuming the base axioms. There are later problems where we have to define addition, check closure, etc.
 

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