Linear algebra - Rotations in R3

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Homework Help Overview

The discussion revolves around understanding the transformations defined by rotation matrices in three-dimensional space (R3). The original poster presents three rotation matrices, R_1, R_2, and R_3, and seeks guidance on how to describe their effects on vectors in R3.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants suggest applying the transformations to specific vectors to observe the effects. There is a discussion about the behavior of the matrices, particularly R_1, and how it affects the components of input vectors. Questions arise regarding the interpretation of the transformations and the meaning of "clockwise" in three-dimensional space.

Discussion Status

Participants are actively engaging with the problem, testing the transformations with different vectors, and clarifying the effects of R_1. Some guidance has been provided regarding the interpretation of the rotations, and there is a sense of progress as the original poster expresses understanding of how to approach the remaining matrices.

Contextual Notes

There is an emphasis on using consistent notation for parameters in the transformations, and participants are exploring the implications of the transformations in the y-z plane. The original poster's initial uncertainty reflects the complexity of the topic.

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Homework Statement



Given,

R_1(x) =
[ 1 0 0
0 cos(x) -sin(x)
0 sin(x) cos(x)]

R_2(x) =
[cos(x) 0 -sin(x)
0 1 0
sin(x) 0 cos(x)]

R_3(x) =
[cos(x) -sin(x) 0
sin(x) cos(x) 0
0 0 1]

Describe the transformations defined by each of these matrices on vectors in R3.

Homework Equations





The Attempt at a Solution



I have no idea how to describe these or even go about figuring it out. Can someone explain to me how to do one of them or at least guide me through the process. Then I can attempt the rest please?
 
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You might start by applying these transformations on some vector to see what happens. To decrease confusion, I would use t as the parameter in all three transformations, instead of x.

For R_1, the x-coordinate of an input vector will be unchanged, so it seems to me that the rotation is entirely in the y-z plane. Test this by choosing a value of t such as pi/2, and seeing what happens to <1, 1, 1>
 
Mark44 said:
You might start by applying these transformations on some vector to see what happens. To decrease confusion, I would use t as the parameter in all three transformations, instead of x.

For R_1, the x-coordinate of an input vector will be unchanged, so it seems to me that the rotation is entirely in the y-z plane. Test this by choosing a value of t such as pi/2, and seeing what happens to <1, 1, 1>

doesn't it just change the y component? If i multiply i get <1, -1, 1>
 
No, the first transformation actually changes the y and z components, and leaves the x component unchanged. You need a vector with different components to see the change.
 
oh ok, when i tested it with <1,2,3> i ended up with <1,-3,2> so it seems like its just flipping the y and z components and negating the y. I'm not exactly sure what this means in the yz-plane, I don't think that would be enough to say
 
What it means is that R_1(x) rotates the projection of x in the y-z plane.
 
Mark44 said:
What it means is that R_1(x) rotates the projection of x in the y-z plane.

Can i say that it is rotated clockwise? Because if i graph it seems to go clockwise
 
Yes, I believe that is correct, as long as it's clear what clockwise means. In three dimensions "clockwise" doesn't have much meaning, but if you state the the projection of x in the y-z plane is being rotated clockwise, then that's clear.
 
ok, that makes sense. I understand how to go about doing the other two now. Thank you so much for all the help. It actually makes sense now
 

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