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Is he right? Is linear algebra ugly?
>>
>>16836088
>like hammering a nail into a board
In other words it's a useful tool with many real world applications.
>>
>>16836088
>Is linear algebra ugly?
He didn't say anything of the sort.
>>
>>16836088
>muh symmetry muh beauty
>seething about something not being abelian
Laymen retards read this and think “wow dude that’s so deep”.
Algebraists read this and go “filtered by kingergarten group theory”.
>>
>>16836088
What is the context of this image?
>>
>>16836088
That's why everyone with a brain does lin alg with transforms and leaves garbage like matrices and determinants for computer cucks.
>>
terryology is perfect and is hidden by the annunaki
>>
>>16836088
>linear algebra is ugly because ab≠ba
How abelist
>>
>>16836157
>computer cucks.
Strange way to spell "employed people"
>>
Not gonna lie, I just do normal algebra. I have no idea what a determinant is.
>>
>>16836335
A natural transformation from GL(n, F) to F^\times.
>>
>>16836377
What's GL, n, \ and times?
>>
>>16836169
/thread
Thanks, Boss. My keyboard needed a cleaning.
>>
>>16836377
>>16836394
Sincerely requesting a qrd too. That sounds pretty badass beautiful honestly.
>>
>>16836094
Correct.
>>
File: 1762237670189396.gif (1.58 MB, 360x193)
1.58 MB
1.58 MB GIF
>>16836088
Limp-wristed fag who's never used a hammer.
>>
>>16836088
You could complain about the set of all possible matrices of a field, but there are tons of subsets which are beautiful/symmetric in some way, like the representations of finite groups.
>>
>>16836394
>>16836457
I am too lazy to typeset in latex.
GL(n, F): general linear group of n by n matrices whose entries are elements of a field F
F^/times: group of elements of F sans 0 with respect to multiplication
>>
>>16836169
kek
>>
>>16836169
lmao
>>
Is it actually worth spending time learning group theory as a non-mathematician? So far the only abstract/higher level math I've engaged with have been firmly in the world of analysis (measure, functional analysis, analytic approaches to diff-geo and diff-eq, Fourier analysis, etc.). These have been fun bits of learning, but they've also turned out immensely useful in my career as a signal processing engineer.
I've always been interested in learning algebra, but it's never been something that has been directly required of me for my job/research interests. Is it worth self-studying, and if so, what's a good resource for someone who never took an undergrad algebra course but is pretty familiar with proof-based math?



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