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My own personal experience is that, in linear algebra, there are a lot of different ways to prove the same thing. When you search for a proof of something, you
by dietrichepp 3y ago
My own personal experience is that, in linear algebra, there are a lot of different ways to prove the same thing. When you search for a proof of something, you may find a proof that is overly basic and verbose, or a proof that is overly advanced and terse.
Finding an explanation of a linear algebra concept that strikes the right balance can be time-consuming or difficult. This is why you see, for example, a hojillion different articles explaining what quaternions are. Everybody is most comfortable at a different place on the complexity spectrum—from “a vector is (x,y,z), here are rules for how that works” to “a vector space is an abelian group V, field F, and a map in Hom(F,End(V))”.
- abhi9u 3y agoThat's quite true. And so many books to teach it. I am a software engineer and don't have a major in math beyond studying discrete math in college. So I really have to work hard to understand these proofs. And I certainly value proofs explained in simple terms. :)
- onecommentman 3y agoI agree. In fact finding an explanation of pretty much any significant mathematical concept that strikes that balance (across the broad range of individual talents and backgrounds) is time-consuming or difficult. Which is why a significant chunk of mathematics research effort and funding should go to making such explanations less time-consuming and difficult. IMHO. It may be as simple as a vetted compilation of explanations for a single idea so the individual can find the ones that work for them, or formal development of new explanations. What’s more significant: a new incremental result in some obscure corner of math, or 100M more people understanding what an eigenvalue actually means? Or a new explanation that makes a concept more relevant in an entire application area?