[Linear Algebra] rotational matrices

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Homework Help Overview

The discussion revolves around proving a relationship involving rotational matrices in linear algebra, specifically the equation Rθ+φ = Rθ + Rφ. Participants are exploring the implications of this equation and the meanings of the variables involved.

Discussion Character

  • Conceptual clarification, Assumption checking, Mixed

Approaches and Questions Raised

  • Participants are attempting to understand the meaning of the variables and the equation itself. Some are exploring graphical methods to visualize the rotations, while others question the correctness of the equation presented. There is also discussion about the multiplication of rotation matrices and the implications of applying two rotations consecutively.

Discussion Status

The discussion is active, with participants providing insights into the graphical representation of rotations and questioning the original equation. Some guidance has been offered regarding the multiplication of matrices and the application of rotation transformations, but no consensus has been reached on the correctness of the initial equation.

Contextual Notes

Participants express uncertainty about the definitions and implications of the rotational matrices, particularly regarding Rφ. There is an indication that graphical methods may provide clarity, but the original problem statement may contain inaccuracies that need to be addressed.

Delta what
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Homework Statement


Prove Rθ+φ =Rθ+Rφ Where Rθ is equal to the 2x2 rotational matrix
[cos(θ) sin(θ),
-sin(θ) cos(θ)]

Homework Equations


I am having a hard time trying figure our what is being asked. My question is can anyone put this into words? I am having trouble understanding what the phi may mean?

The Attempt at a Solution


I tried to solve this graphical by plotting x and y vectors doing a rotation and plotting those and taking the product of the two rotations or x and y and finding the rotation of x+y. I don't think this is even on the right track and there must be a much simpler way to do this than graphically.
 
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A proper graphic can at least show you the way how to do it. You need only one vector at the center of rotation and then rotate it in two steps, e.g. by using a compass. Do you know what the consecutive application of two rotations mean to the two rotation matrices?
 
Delta what said:
Prove Rθ+φ =Rθ+Rφ

This seems wrong. Are you sure that you copied it correctly?
 
fresh_42 said:
A proper graphic can at least show you the way how to do it. You need only one vector at the center of rotation and then rotate it in two steps, e.g. by using a compass. Do you know what the consecutive application of two rotations mean to the two rotation matrices?
micromass said:
This seems wrong. Are you sure that you copied it correctly?
You are write that it isn't correct it should be Rθ+φ =Rθ*Rφ
THANK YOU!
 
And have you multiplied the two?
 
fresh_42 said:
And have you multiplied the two?
No I have not because I am unsure as to what Rφ is.
 
fresh_42 said:
A proper graphic can at least show you the way how to do it. You need only one vector at the center of rotation and then rotate it in two steps, e.g. by using a compass. Do you know what the consecutive application of two rotations mean to the two rotation matrices?
No I am not familiar with what two applications of the rotation means.
 
Delta what said:
No I have not because I am unsure as to what Rφ is.
The same as with ##θ##. So ##R_φ = \begin{bmatrix}\cos φ && \sin φ \\ -\sin φ && \cos φ\end{bmatrix}##.
Delta what said:
No I am not familiar with what two applications of the rotation means.
It means to do one rotation by ##φ## applied to some original vector ##v## and then another rotation by ##θ## applied to the resulting vector of the first.
In terms of matrices, it is - as you wrote - ## (R_θ \cdot R_φ) (v) = R_θ ( R_φ (v)) ##, i.e. you will have to multiply the two matrices.
The addition theorems for ##\cos## and ##\sin## should give you the required result.

And you can (and in my opinion should) do all this graphically, too. It will give you a nice proof of the addition theorems.
 

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