Showing Uniqueness of Elements of a Vector Space

[TranscendArcu]

Homework Statement

http://img267.imageshack.us/img267/8924/screenshot20120118at121.png

The Attempt at a Solution

We have that X = A + B. To show that X is unique, let two such sums be denoted by X₁ X₂ such that X₁ ≠ X₂. We write,

X₁ = A + B
X₂ = A + B

The equations imply,

X₁ - A - B = 0
X₂ - A - B = 0

Which imply,

X₁ - A - B = X₂ - A - B. If we add vectors to both sides,

X₁ - A - B + A + B = X₂ - A - B + A + B

X₁ + 0 + 0 = X₂ + 0 + 0
X₁ = X₂, which contradicts our assertion that X₁ ≠ X₂. This shows that such an X is unique.

 

[lanedance]

don't you mean A+X=B?

 

[lanedance]

and though on the right track 3 points,
- i think you need to justify the minus operation by invoking the existence of an additive inverse
- eqauting to zero is an unecessary step, i would start from B=B in this case
- you need to show both existence and uniqueness

 

[TranscendArcu]

Yeah, you're totally right. I just typed X =A + B by accident. As for proving the existence of such an X, how do I begin that? I think proving uniqueness should be, with some adjustment, what I have in #1.

 

[lanedance]

just find a vector that exists that satisfies the requirement
A+X=B
A+X+(-A)=B+(-A)
X+A+(-A)=B+(-A)
X+0=B+(-A)
X=B+(-A)

So somewhat obviously B+(-A) does the job

 

[lanedance]

its a little mechanical, but each one of the above operations is justified by a vector space axiom

 

[TranscendArcu]

Okay, that's pretty clear. Thanks!

Another question I have is why the set of polynomials of degree = 2 is not a vector space. It isn't obvious to me which axiom is not being satisfied here. Could you recommend an axiom to examine more closely?

 

[lanedance]

does it contain the zero vector?

 

[TranscendArcu]

So I understood that degree = 2 indicated polynomials of the form a_0 + a_1 x +a_2 x^2 if a_0,a_1,a_2 = 0, then certainly the entire polynomial goes to zero.

I doubt, somehow, that this is the conclusion I am supposed to arrive at. Does degree = 2 indicate rather polynomials of the form a_2 x^2? But even if this is so, I still think I could let the coefficient be zero to get a zero vector.

What does "degree = 2" actually mean?

 

[lanedance]

I would interpret degree=2 as a_2\neq0..

And degree<=2 as putting no constraints on a_0,a_1,a_2... but that's just my interpretation

Its also probably biased by that I'm pretty sure all polynomials with degree<=2 is a vector space

 

[HallsofIvy]

Also the sum of the two second degree polynomials, 1+ x- x^2 and 2- 2x+ x^2, is 3- x which is not a second degree polynomial.

(The set of all polynomials of degree less than or equal to is a vector space.)