Is There an Easier Way to Calculate 3D Rotation Matrices?

In summary, the speaker discovered a simple and effective method for finding rotation matrices in 3 dimensions while resolving a problem in mechanics. The method involves realizing that a rotation through one axis occurs on a specific plane and then using normalized polar vectors to create a matrix. The rotation vector should have only one non-vanishing component along the axis of rotation and equal to 1. This method is not commonly found in literature, but the speaker wonders why as it seems to be the easiest way.
  • #1
kent davidge
933
56
While resolving a problem in mechanics I discovered a beautiful and easy way for finding out what the rotation matrices in 3 dimensions are! And I'm surprised that I do not find this method anywhere on the internet! Would it be because it's not technically correct? Anyways, here it is:

It's all about realising that a rotation through one axis happens on a plane. For example, rotation about the y-axis happens on the z-x plane. Now pick the normalized polar vectors for that plane and put them into the matrix such that their components along the axis we are rotating about are zero (for them to be confined into the plane) and such that they are distributed along the rows of the matrix. Also, the corresponding component of the vector along the axis of rotation should be preserved, so the corresponding rotation vector should have only one non vanishing component along that axis and it should be equal to 1. That's it.

Using what I said above, for instance, rotation along the x-axis is given by $$\begin{pmatrix}\cos\beta&\sin\beta&0\\-\sin\beta&\cos\beta&0\\0&0&1\end{pmatrix}$$

Isn't this the easiest way ever? Why we don't find this across the literature?
 
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  • #3
  • #4
These three rotation matrices are well-known and standard. That the entire group is generated by them looks as a bit of work to do, but the Wiki article has it.
 

Related to Is There an Easier Way to Calculate 3D Rotation Matrices?

1. What is rotation in 3 dimensions?

Rotation in 3 dimensions is the movement of an object around an axis in three-dimensional space. It involves changing the orientation or position of an object relative to a fixed point. This type of rotation is commonly used in physics, engineering, and computer graphics.

2. How is rotation in 3 dimensions different from rotation in 2 dimensions?

In 3 dimensions, an object can rotate not only along a horizontal or vertical axis, but also along a third axis, which creates a rotation in three-dimensional space. This allows for more complex movements and orientations compared to rotation in 2 dimensions, which is limited to two axes.

3. What are the three types of rotation in 3 dimensions?

The three types of rotation in 3 dimensions are pitch, yaw, and roll. Pitch is the rotation around the horizontal axis, yaw is the rotation around the vertical axis, and roll is the rotation around the lateral axis. These three rotations can combine to create any movement or orientation in 3D space.

4. How is rotation in 3 dimensions used in real-world applications?

Rotation in 3 dimensions is used in a wide range of applications, including robotics, flight simulation, and animation. It is also essential in understanding the motion of planets and other celestial bodies, as well as the behavior of atoms and molecules in chemistry.

5. What are some key principles to keep in mind when working with rotation in 3 dimensions?

Some key principles to keep in mind when working with rotation in 3 dimensions include understanding the right-hand rule, which determines the direction of the rotation axis, and the use of quaternions or Euler angles to represent rotations. It is also important to consider the effects of translation, scaling, and other transformations that can affect the overall rotation of an object.

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