Vector Space Q: Is Additive Identity Unique?

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Discussion Overview

The discussion centers around the uniqueness of the additive identity in the context of a specific vector space defined by the equation \( S = \{ (x_1, x_2, x_3) \in F^{3} \ : \ x_1 + 5x_2 + 3x_3 = 0 \} \), where \( F \) is either \( \mathbb{R} \) or \( \mathbb{C} \). Participants explore the implications of having multiple vectors that could potentially serve as additive identities.

Discussion Character

  • Debate/contested
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that the zero vector \( (0,0,0) \) is the unique additive identity in any vector space.
  • One participant suggests that vectors like \( (-a, -b, -c) \) could be considered additive identities, but another clarifies that these are actually additive inverses.
  • A participant introduces the vector \( (0, 3, -5) \) and questions whether it could also be an additive identity, leading to confusion about its role.
  • Another participant argues that adding \( (0, 3, -5) \) to any vector does not yield the original vector, thus it cannot be an additive identity.
  • There is a discussion about the constraints of the vector space \( S \) and whether elements within it can serve as additive identities.
  • One participant expresses confusion about the definitions and relationships between the vectors and the conditions of the vector space.
  • A later reply challenges the understanding of the vector space definition and asserts that certain expressions do not make sense within the context of the defined space.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the uniqueness of the additive identity, with multiple competing views presented regarding the role of specific vectors in the vector space.

Contextual Notes

There are unresolved issues regarding the definitions of terms used in the discussion, such as the distinction between additive identities and additive inverses, as well as the implications of the vector space constraints.

bjgawp
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Just wondering. Suppose we some plane, any plane like S = \{ (x_1, x_2, x_3) \in F^{3} \ : \ x_1 + 5x_2 + 3x_3 = 0 \} where F is either \mathbb{R} or \mathbb{C} . We know that S is a vector space (passes the origin).

We know that (0,0,0) is the additive identity and it should be unique by virtue of the field we're working with. But say we had any arbitrary vector (a,b,c). Wouldn't (-a, -b, -c) or (0, 3, -5) also be counted as an additive identity as well?
 
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(-a, -b, -c) would be the inverse under addition.

the other (0,3,-5), forgot what's it called, I think the kernel if I'm not mistaken
 
But wouldn't they also be the additive identity /zero vector as well, violating the fact zero vectors of vector spaces are unique?
 
Given an identity 0, and a vector v

v + 0 = v

but

v + (0,3,-5) does not equal vso it's not an identity, it's a vector that maps to zero, but it's not zero.
 
Doesn't it though for v in S?

Let v = (a,b,c) = a + 5b + 3c \in S. Then (a + 5b + 3c) + (0 + 5(3) + 3(-5)) = (a + 5b + 3c) + (0) = a + 5b + 3c = v

So we found an element w = (0, 3, -5) such that v + w = v which by definition, we call w the additive inverse?
 
I was wrong about the kernel thing, because you need to have a map for that.

You just have a vector space that is constrained to S:

<br /> \ x_1 + 5x_2 + 3x_3 = 0 \<br />meaning that the components of every element of S have to satisfy this equation.
 
Not quite sure if I entirely understand. Wouldn't any element in S then be called an additive identity since adding it to any vector v would just simply give us v.?
 
bjgawp,

I think you may be a little confused. Since you are in a 3 dimensional space, each vector contains three components, including the zero vector. So let
\mathbf{v} = \left(a,b,c\right) \in S, and let
\mathbf{w} = \left(0,3,-5\right), where of course
\mathbf{w} \in S as well. When we add these, we get
\mathbf{v} + \mathbf{w} = \left(a+0, b+3, c-5 \right).

For example, if \mathbf{v} = \left(1,-2,3\right)
then \mathbf{v} + \mathbf{w} = \left(1, 1, -2 \right).

Also note that if \mathbf{u} = \left(0,-3,5\right),
then
\mathbf{v} + \mathbf{u} = \left(0+0, 3-3, -5+5 \right) <br /> = \left(0,0,0 \right) = \mathbf{0}. Note that the
vector \mathbf{0} \in S
is not the same as the scalar 0 \in F.

I hope that helps,

Jason

bjgawp said:
Doesn't it though for v in S?

Let v = (a,b,c) = a + 5b + 3c \in S. Then (a + 5b + 3c) + (0 + 5(3) + 3(-5)) = (a + 5b + 3c) + (0) = a + 5b + 3c = v

So we found an element w = (0, 3, -5) such that v + w = v which by definition, we call w the additive inverse?
 
bjgawp said:
Doesn't it though for v in S?

Let v = (a,b,c) = a + 5b + 3c \in S.
NO! (a, b, c) is NOT equal to a+ 5b+ 3c and a+ 5b+ 3c is NOT in S. "(a,b,c)= a+ 5b+ 3c doesn't even make sense. One is a member of R3, the other of R1- they can't be equal! And a+ 5b+ 3c is not in S because S only contains things in R3 and a+ 5b+ 3c is not.

[/quote]Then (a + 5b + 3c) + (0 + 5(3) + 3(-5)) = (a + 5b + 3c) + (0) = a + 5b + 3c = v

So we found an element w = (0, 3, -5) such that v + w = v which by definition, we call w the additive inverse?[/QUOTE]
IF v= (a, b, c) is in S, then a+ 5b+ 3c= 0. If w= (0, 3, -5) then v+ w= (a, b+3, c- 5) which is NOT equal to (a, b, c). Frankly, it appears that you have no clue what
S = \{ (x_1, x_2, x_3) \in F^{3} \ : \ x_1 + 5x_2 + 3x_3 = 0 \}
means.
 

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