What Defines the Zero Vector in Modified Vector Space Operations?

  • Thread starter Thread starter v1ru5
  • Start date Start date
  • Tags Tags
    Vector Zero
Click For Summary

Homework Help Overview

The discussion revolves around defining the zero vector in a modified vector space with non-standard operations for vector addition and scalar multiplication. Participants are exploring the implications of these operations on the identification of the zero vector and the additive inverse.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants attempt to determine the zero vector by setting up equations based on the modified addition operation. There is confusion regarding the definition of the zero vector and how it differs from standard definitions in vector spaces.

Discussion Status

Some participants have provided guidance on how to approach finding the zero vector by suggesting to solve the equation derived from the modified addition operation. There is ongoing exploration of the additive identity and its properties, with participants questioning their own reasoning and seeking confirmation of their findings.

Contextual Notes

Participants express confusion about the non-standard operations and their implications for traditional vector space concepts. There is a recognition that the zero vector in this context may not be (0,0) as typically expected, leading to further investigation of the definitions involved.

  • #31
LCKurtz said:
Yes in ##R^2## but not in your problem. That isn't your rule for scalar multiplication.

Oh okay so

k~(x, y) = (kx - k + 1, ky + 2k -2)
-1~(x,y) = -x + 1 + 1, -y -2 - 2
= -x + 2, -y - 4

So -(x, y) = (-x + 2, -y - 4)

and that is correct since I got that as my answer when I did it the other way. So I can conclude that if I want to get the additive inverse of any vector, I can multiply that vector by scalar ##-1## using the rules for scalar multiplication given.
 
Physics news on Phys.org
  • #32
Yes that is correct. I don't think we need to beat this horse any more. But using these techniques you could verify all the axioms of a vector space work even though its arithmetic rules may seem bizarre. To paraphrase, "This ain't your daddy's vector space".
 
  • #33
LCKurtz said:
Yes that is correct. I don't think we need to beat this horse any more. But using these techniques you could verify all the axioms of a vector space work even though its arithmetic rules may seem bizarre. To paraphrase, "This ain't your daddy's vector space".

Thanks for your all your help Professor LCKurtz.
 
  • #34
how do you find the -v vector then ?
 
  • #35
what is the correct awnser for -v
 
  • #36
LCKurtz said:
The additive inverse of (x,y) is the vector (a,b) you can ⊕ to (x,y) and get the additive identity.

s_nirmit said:
how do you find the -v vector then ?

The answer is in the thread or you can do it yourself starting with the above statement.
 
  • #37
is it -v= (1-x), (-2-y) ?
 
  • #38
s_nirmit said:
is it -v= (1-x), (-2-y) ?

No. Read the thread and/or show your work.
 

Similar threads

Replies
9
Views
2K
  • · Replies 12 ·
Replies
12
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 43 ·
2
Replies
43
Views
5K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
12
Views
2K
Replies
3
Views
2K