I'm reviewing a piece of python code that uses the term "rotations" for these matrices, but of course that's not quite accurate. What's a good, more accurate term of similar accessibility?
Here are my candidates so far:
- scaling-and-rotation matrix: Clunky, but the best I've got right now.
- scaled rotation: Less clunky than the above. This term might sound like we're scaling the amount of rotation.
- conformal matrix: Technically correct, but far fewer people will understand the meaning compared to "rotation matrix". Also, it's a bit ingenuous since the term conformal prototypically refers to nonlinear maps that behave infinitesimally like these matrices.
- angle-preserving matrix: A more accessible form of conformal matrix. Less knowledgeable readers may be distracted trying to figure out which $2\times2$ matrices are angle-preserving. (Readers who understand the term conformal matrix will probably already know this.)
- [multiplication by a] complex number: Not as accessible as "rotation". Also a bit clunky since it identifies a complex number with its representation.
- sum of a scaling and antisymmetric matrix: Worst suggestion so far, especially since antisymmetric matrices don't show up anywhere in the code or code comments.
Is there any standard, accessible term for such linear transformations? I'd also appreciate thoughts on whether I'm mistaken about how accessible and/or clunky the terms above are.