Vector equations, possible to solve for x?

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Discussion Overview

The discussion revolves around the possibility of solving for vector variables in equations involving cross and dot products, specifically focusing on the equations \(\vec{v} = \vec{\omega} \times \vec{r}\) and \(\vec{\alpha} \cdot \vec{\beta} = \gamma\). Participants explore the implications of these equations and the conditions under which solutions may exist.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants suggest that solving \(\vec{v} = \vec{\omega} \times \vec{r}\) can be approached as solving three equations with three unknowns, corresponding to the components of the vectors involved.
  • Others argue that solving \(\vec{\alpha} \cdot \vec{\beta} = \gamma\) is less straightforward, as it represents one equation with three unknowns, leading to infinitely many solutions depending on the choice of vectors.
  • One participant proposes a method of manipulating the equation to isolate \(\vec{\omega}\), but questions arise regarding the validity of this manipulation and whether it can be reversed.
  • Concerns are raised about the uniqueness of solutions, particularly when the vectors involved may lead to non-unique results, such as when the cross product results in a zero vector or when dealing with perpendicular vectors.
  • Some participants inquire about the applicability of these concepts to complex vectors, seeking clarification on the topic's broader implications.

Areas of Agreement / Disagreement

Participants express differing views on the methods for solving vector equations, with some supporting the feasibility of certain manipulations while others challenge their validity. The discussion remains unresolved regarding the best approach to isolate vector variables and the implications of non-uniqueness in solutions.

Contextual Notes

Participants note limitations in the assumptions made about the reversibility of operations involving vector multiplication and the uniqueness of solutions, highlighting the complexity of vector algebra.

Jonsson
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Hello there,

In scalar algebra, I find solving for variables a useful tool. Say ohms law, I want to find ##R## so:

$$
U=RI \iff R = \frac{U}{I}
$$

Can I do something analogous in vector equations? I.e. May I solve for ##\vec{\omega}## in equations using cross or dot products?

$$
\vec{v} = \vec{\omega} \times \vec{r} \iff \vec{\omega} = ?
$$

or:

$$
\vec{\alpha} \cdot \vec{\beta} = \gamma \iff \vec{\beta} = ?
$$


It would be fantastic if I could solve for vectors in some way.

Hope you are able to help.

Thank you for your time!

Kind regards,
Marius
 
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Solving v=wxr makes sense, since this can be seen as solving 3 equations with 3 unknowns (each components).
You can find the solution easily by "multiplying" both sides by r: rxv = rx(wxr) = w (r.r) - r (w.r) .

Solving a.b=c makes less sense, since this can be seen as solving 1 equation with three unknowns.
Actually there is an infinite number of solutions to this equation.
If you have one solution b=bo, then you can add any vector b1 such that a.b1=0 to this solution, and you will get another solution b = bo+b1. Any b1 just need to be perpendicular to a.
 
maajdl said:
Solving v=wxr makes sense, since this can be seen as solving 3 equations with 3 unknowns (each components).
What exactly do you mean by three equations?
 
With V=W X R you end up with three equations corresponding to the three components of V.
With v=W o R you end up with one equation because v is a scalar, and three unknowns for W.
 
maajdl said:
Solving v=wxr makes sense, since this can be seen as solving 3 equations with 3 unknowns (each components).
You can find the solution easily by "multiplying" both sides by r: rxv = rx(wxr) = w (r.r) - r (w.r) .
That's one solution. There are infinitely many others.

Given any solution w for v = w cross r and any scalar k then w + kr is another solution.
 
I want to learn about this topic in vector algebra.

1. What is the topic called?

2. Is this correct? And how then do I solve for ##\vec{\omega}##?

$$
\vec{v} = \vec{\omega} \times \vec{r} \iff \vec{r} \times \vec{v} = \vec{r} \times (\vec{\omega} \times \vec{r}) = \vec{\omega} (\vec{r}^2) - \vec{r}(\vec{r} \cdot \vec{\omega})
$$
Now what?

3. Does it hold for compex vectors?

Thanks.M
 
Jonsson said:
I want to learn about this topic in vector algebra.

1. What is the topic called?

2. Is this correct? And how then do I solve for ##\vec{\omega}##?

$$
\vec{v} = \vec{\omega} \times \vec{r} \iff \vec{r} \times \vec{v} = \vec{r} \times (\vec{\omega} \times \vec{r}) = \vec{\omega} (\vec{r}^2) - \vec{r}(\vec{r} \cdot \vec{\omega})
$$
Now what?

3. Does it hold for compex vectors?

Thanks.M

You have a linear equation for the components of w there.
 
Jonsson said:
2. Is this correct? And how then do I solve for ##\vec{\omega}##?

$$
\vec{v} = \vec{\omega} \times \vec{r} \iff \vec{r} \times \vec{v} = \vec{r} \times (\vec{\omega} \times \vec{r}) = \vec{\omega} (\vec{r}^2) - \vec{r}(\vec{r} \cdot \vec{\omega})
$$

The above is false. The implication is unidirectional, not bidirectional. The operation of multiplying both sides by r is not reversible.

The reason it's not reversible is that you can't uniquely divide by r. Since the purpose of the exercise was to demonstrate that you can uniquely divide by r, asserting that you can divide by r would amount to a circular argument.
 
And, you have the difficulty that the solutions will seldom be unique. As obvious example if \vec{a}\times\vec{x}= \vec{0} or \vec{a}\cdot\vec{x}= 0, \vec{x} can be any vector perpendicular to \vec{a}
 

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