Re:Relearning Matrices as Linear Functions
by chongli on Tuesday April 23, 2019 @11:10PM
(#19735227)
Math is just a much deeper topic than most others. The things people do in research level math can take a really long time to explain to a lay person because of the many layers of abstraction involved.
Re:Relearning Matrices as Linear Functions
by soVeryTired on Wednesday April 24, 2019 @05:31AM
(#19736793)
It is a very deep and specialised topic. However, there are ways to convey intuition to a 'mathematically mature' audience, and there are quick definitions that are correct but unenlightening. I much prefer the former :)
Re:Relearning Matrices as Linear Functions
by ginnungagap on Wednesday April 24, 2019 @02:44AM
(#19736115)
No, it turns bilinear maps into linear one! If you have three R-modules (one can read K-vector spaces if unfamiliar with modules) N,M,P and a bilinear map N×M→P then there is a unique linear map N⊗M→P compatible with the map N×M→N⊗M which is part of the structure of a tensor product. (What's really going on here in fancy terms is the so called Hom-Tensor adjunction because the _⊗M functor is adjoint to the Hom(M,_) functor, but just thinking about bilinear and linear maps is much clearer)
Re:Relearning Matrices as Linear Functions
by soVeryTired on Wednesday April 24, 2019 @05:35AM
(#19736809)
Ok fair enough, I think I get you.
Reminds me of the time an algebraist mentioned to me that he was working on profinite group theory. I asked what a profinite group was, and he immediately replied 'an inverse limit of an inverse system', with no follow up. Well thanks buddy, that really opened my eyes.