Possible Magnitudes of Vectors in Orthogonal Configurations

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Homework Help Overview

The discussion revolves around the possible magnitudes of a vector formed by the sum of three unit vectors in orthogonal configurations, specifically in the x, y-plane and in 3-dimensional space. The original poster presents two parts: the first concerning unit vectors in the x, y-plane and the second extending to 3-space.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants explore the implications of choosing specific unit vectors and the necessity of generalizing the argument to all possible configurations. Questions arise regarding the validity of specific vector choices and their orthogonality, as well as the interpretation of vector magnitudes based on the properties of unit vectors.

Discussion Status

The discussion is active, with participants questioning the assumptions made about the vectors and their relationships. Some participants suggest that the original poster's approach may not cover all possibilities, while others emphasize the importance of maintaining orthogonality among the vectors. There is a recognition of differing interpretations regarding the independence of the vectors in two-dimensional space.

Contextual Notes

Participants note that the problem does not explicitly state the independence of the vectors and that the relationships between them (e.g., orthogonality and equality) are crucial to understanding the problem. There is also mention of the constraints imposed by the dimensionality of the space being considered.

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Homework Statement



A.
Given unit vectors a, b, c in the x, y-plane such that a · b = b · c = 0,
let v = a + b + c; what are the possible values of |v|?
B.
Repeat, except a, b, and c are unit vectors in 3-space

Homework Equations


The Attempt at a Solution



I have solutions for both that I'm reasonably sure of, I'd just like a 2nd opinion to make sure I solved the problem correctly.

For part A I got |v| = [itex]\sqrt{2}[/itex], [itex]\sqrt{5}[/itex]
I took c = <0,1>, a = <1,0> b = <0,1> in this combination |v| = [itex]\sqrt{2}[/itex].
The only other special case is when a = b in this case, |v| = [itex]\sqrt{5}[/itex]For Part B I took c = <0,0,1>, a = <1,0,0> and b = [itex]<cos\theta,sin\theta,0>[/itex]

Therefore, |v| = [itex]\sqrt{2cos\theta + 3}[/itex], [itex]0\leq\theta\leq 2\pi[/itex]
 
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The problem with your argument is that you have picked specific, very handy, vectors a,b, and c that satisfy your properties. So you have answered the question for only those three vectors. You have to argue it for any three such vectors.
 
Yes, but since the vectors have to be unit vectors and both vectors a and c are orthogonal to b, |v| is going to be the same regardless. You can rotate a vector by a specific angle and the others have to stay orthogonal so they will move as well by the angle maintaining |v|. That's why I chose the most convenient vectors to work with.
 
Last edited:
themadhatter1 said:
Yes, but since the vectors have to be unit vectors and both vectors a and c are orthogonal to b, |v| is going to be the same regardless. You can rotate a vector by a specific angle and the others have to stay orthogonal so they will move as well by the angle maintaining |v|. That's why I chose the most convenient vectors to work with.

Everything you say is true. If this is homework, I would at the minimum include this additional argument. Still, it is just as easy and more elegant to do it with arbitrary vectors in the first place.
 
i don't understand,

if b.c = 0, then how come b = c? i.e how can b=<0,1> = c ?
 
why issn't part 1

v = a + b + c
|v| = [itex]\sqrt{a^2 + b^2 + c^2}[/itex] = [itex]\sqrt{3}[/itex] ?
 
themadhatter1 said:
Given unit vectors a, b, c in the x, y-plane such that a · b = b · c = 0,


I took c = <0,1>, a = <1,0> b = <0,1>

So you took c=b. Being unit vectors, their scalar product is 1 instead of zero. Which two vectors can be identical instead?

ehild
 
quietrain said:
why issn't part 1

v = a + b + c
|v| = [itex]\sqrt{a^2 + b^2 + c^2}[/itex] = [itex]\sqrt{3}[/itex] ?

You do not have 3 independent, mutually orthogonal vectors in 2D. One of the vectors a, b, c is linear combination of the other two.

ehild
 
themadhatter1 said:
Yes, but since the vectors have to be unit vectors and both vectors a and c are orthogonal to b, |v| is going to be the same regardless. You can rotate a vector by a specific angle and the others have to stay orthogonal so they will move as well by the angle maintaining |v|. That's why I chose the most convenient vectors to work with.
Another reason for doing the problem in general is that your specific vectors might not cover every possibility, which has indeed happened here.
 
  • #10
ehild said:
You do not have 3 independent, mutually orthogonal vectors in 2D. One of the vectors a, b, c is linear combination of the other two.

ehild

its something like this right?

*****B
**** ^
**** |
A<---|--->C

since they are 3 independ orthogonal vectors, how can one of them be a linear combination of the other two?

how does he get sqrt 2 or sqrt 5?
 
  • #11
They are not three independent vectors.

a=c or a=-c, so either v=2a+b or v=b

The magnitude of v can not be sqrt(2).

ehild
 
  • #12
You have already been told that there aren't three independent vectors in two dimensional space! The problem does NOT say that they are independent. In particular the problem, does NOT say that c is orthogonal to a. You are given that b is orthogonal to a and c and they are all of unit length which means that either a= c or a= -c.

If a= c, then v= 2a+ b and, since a and b are unit length and orthogonal, the length of v is [itex]\sqrt{2^2+ 1}= \sqrt{5}[/itex]. If a= -c, then v= b which has length 1.
 
  • #13
ohh.h... isee... thanks!
 

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