Term for similarity transformation which is not a translation

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What's the best (i.e. most concise) term to refer to an orientation-preserving similarity transformation which is not a translation? Here are some descriptions I could think of, but all of them feel rather bulky. I hope they are as equivalent to one another as I think they are, and I hope there is something simpler equivalent to all of them.

As a native German, I tend to think about this using the German term “Drehstreckung” which literally translates to “rotation-dilation”. I'm somewhat surprised by the difficulty I have in finding an exact English translation for this concept.

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I'm pretty sure your literal translation of Drehstreckung, "rotation-dilation", is the term that my high-school textbook used for this kind of transformation. Sure enough, I see the exact same terminology in lecture notes for a course in Linear Algebra with Probability at Harvard and in a "MATLAB help page" for linear-algebra students at Johns Hopkins.

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Not entirely sure, but there are some elements of Mobius Transformation.

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I think that what you're looking for is simply called "affinity".

From Wikipedia:

Examples of affine transformations include translation, scaling, homothety, similarity transformation, reflection, rotation, shear mapping, and compositions of them in any combination and sequence.

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It could be Dilation , Dialation, Dialatation etc.. It may be general extension or reduction accompanied by Rotations applicable to vectors of a group of lines or objects .

(Googling in the subject of Mechanics of materials and compressible Fluid mechanics one may encounter more generalized terminology in reference to Stress-Strain theorems.)

In the special 2 dimensions case it represents

  • Quotient of two complex numbers:

    $$ Z_1 = r_1 \cdot e^{t_1} ,\; Z_2 = r_2 \cdot e^{t_2},$$

    $$ | Z_1 / Z_2| = (r1/r2) \cdot e^{ (t1-t2)}. $$

where quotient $(r_1/r_2)$ is the reduced scaling or dilation/dimunition factor and argument $ (t_1-t_2) $ is amount of rotation/Drehung as a difference.

In the same sense it represents what happens to

  • Product of complex numbers as well.

    $$ | Z_1 \cdot Z_2| = (r1\cdot r2) \cdot e^{ (t1+t2)}. $$

where now product $(r_1 r_2)$ is the increased scaling or dilation/Streckung factor and argument $ (t_1 + t_2) $ is amount of rotation as a sum required to reach the new position of resultant vector in the Complex plane, Gauss or Argand diagram.

May be term like Coupled Dilatory Rotation express it.