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Timeline for Listing applications of the SVD

Current License: CC BY-SA 4.0

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Nov 17, 2021 at 3:01 comment added Zach Teitler @AndreiSmolensky Okay, thanks.
Nov 16, 2021 at 22:53 comment added Andrei Smolensky @ZachTeitler Images under arbitrary linear maps is not a priori the same as images under scaling in orthogonal directions and rotations. They are, but this is precisely the SVD.
Nov 16, 2021 at 22:08 comment added Zach Teitler I'm not sure how deep it is to say that linear maps take linear images of spheres to linear images of spheres. Perhaps I'm missing something.
Nov 16, 2021 at 16:51 comment added wlad @ZachTeitler It's the result of taking a sphere and stretching it in orthogonal directions. Does that clarify?
Nov 16, 2021 at 15:55 comment added Zach Teitler Please forgive a stupid question, but what is the definition of an ellipse here? A compact level set of a quadratic polynomial? But I think that's equivalent to being a linear image of a sphere, no? Perhaps something else is intended.
S Nov 14, 2021 at 22:14 history answered Andrei Smolensky CC BY-SA 4.0
S Nov 14, 2021 at 22:14 history made wiki Post Made Community Wiki by Andrei Smolensky