Comments (3)
I get the correct answer when I compute this instead:
R_theta * R_L * x * ~R_L * ~R_theta
In retrospect, I was thinking about the direction of the transformation incorrectly.
However, now it looks like the matrix form is giving the unexpected result (it is the transpose of what I would expect) given the rotor order that I gave it.
Perhaps the documentation on how to compute the equivalent matrix transformation is computing the Transpose of what it should be doing?
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Reopening issue because the Matrix equivalence documentation seems suspect (returning the transpose of the right answer)
from clifford.
I think you're right, this is a documentation mistake. I've opened #417, which transposes the matrix in the example.
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Related Issues (20)
- Come up with a better way to get the scalar HOT 2
- CI failure in io module HOT 1
- h5py 3.0+ triggers TestHDF5BasicIO Error HOT 2
- repr of subalgebras
- Documentation typos HOT 1
- Add an ipython magic command for quick algebra construction
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