#serious-discussion
1 messages · Page 359 of 1
oh
is M=B\gamma?
Here's Joot's answer
T is the energy momentum multivector. Scalar part is the energy, Vector part is the momentum (divided by c).
I'll double check, but they should be reversion
There's not much use in G^3 for involutions other than reversion
main involution and clifford conjugation are far less frequent
my thing essentially does like (0,3) multivector times (1,2) multivector = 01 + 23 multivector
alarm bells should ring
The general geometric product between a k-vector and j-vector has terms of grades
|j-k|, |j-k|+2, |j-k|+4, ..., j+k
what happens if j=2 and k=3?
When you're done: ||Now what happens if the space is of dimension 4 or fewer?||
Unless you wanted that ||It's necessarily a vector, maybe you did now that I re-read things||
Reading through this, I'm reminded why I don't like physics
A different, delayed, alarm bell rang
This maintains the direction of the magnetic (pseudo)vector field doesn't it
But that's not the direction that the magnetic field will push a particle
the 1 part does,the wedge part wont?
This looks like it maintains the direction of B to me
velocity of charged particle ye
it's pretty much taken from the usual maxwells, just modified a bit
so v^E will turn E into a (possibly 0) bivector field, and v^B will turn B into a (possibly 0) trivector field
But I think you want the bivector to turn into a vector term right
For forcing purposes
Where did you get the wedge from?
forcing...
this was before i knew about GA, so the only reason its there is to replace cross product, i didnt undesrtand grades before
I'm guessing you thought "commutator->wedge"
This is only true if the arguments are 1-vectors
The proper cross product interpretation is as the commutator product
lemme take a lookt at my paper hold up
The commutator of two vectors is the wedge, which makes a bivector
The commutator of two bivectors, is a bivector!
(Just like the cross product of two pseudovectors is a pseudovector)
Fun fact, the commutator of any k-vector and a bivector, is a k-vector
ah here it is
original complex number formulation
$\vec{F} = k_{em}q_\Psi \cdot(\vec{\Psi}+\gamma\vec{\Psi}\times \frac{\vec{v}}{c})$
Yeatte
Ah
Cross product indeed is the dual of the wedge product, between vectors. If you have a pseudovector as an argument it's different
The commutator of a bivector and a vector, also known as the contraction or dot product between them, yields the vector projected onto the bivector, then rotated 90 degrees within the plane of the bivector
So thinking about it. We have a pseudovector, and a vector, then we project the vector onto the orthogonal complement of the pseudovector, then rotate it within this space until it is also orthogonal to its projection (and thus itself)
So this contraction, no imaginary number added, is the cross product
At least up to sign, I'm not sure about sign here
ig ill show the temporary curl notation i had to notate specifically acting on ijk instead of anything else
as well as that switching of E and B in the E+B gamma thing
,, E+B\gamma = \Psi_1 \ B+E\gamma = \Psi_2 \ q_\Psi_1 = q_e + q_m\gamma \ \text{etc} \ -c\gamma\nabla_{ijk}\times \Psi_1 = J_{\Psi_1} + \pdv{\Psi_1}{t}\c\gamma\nabla_{ijk}\times\Psi_2 = J_{\Psi_2} + \pdv{\Psi_2}{t}
Yeatte
Compile Error! Click the
reaction for more information.
(You may edit your message to recompile.)
1,1 -> 2
1,2 -> 3
mm, thats annoyin
I also made one for split octonions as well
tho that one ended up having two equivalent ways to write the curl equation, and needed conjugates to do it
,, \Psi = E+B\gamma \ \Psi' = E-B\gamma \ \text{etc} \ -c\gamma\nabla\times\Psi = J'\Psi+\partial_t\Psi' \ -c\gamma\nabla\times\Psi'=J\Psi+\partial_t\Psi
Yeatte
tho there is one other thing that's cool
$
,, (\partial_T + \gamma\nabla\times)\Psi = -J_\Psi \ \text{ curl equation above} \ (\partial_T-\gamma\nabla\times)(\partial_T+\gamma\nabla\times)\Psi = -(\partial_T-\gamma\nalba\times)J_\Psi \ \text{wave equation with charges included above}
Yeatte
Compile Error! Click the
reaction for more information.
(You may edit your message to recompile.)
Axler is almost too good, but Roman is better
ig ill modfy the things a bit to make it work
Axler hates determinants, so I hate Axler
Does he really hate determinants when he gives them one of the best definitions possible?
He puts them at the end of the book! This is pedagogically terrible
His treatment of them is fine (it's the right definition, but I have seen it done that way earlier in other books), but the man literally wrote an essay called "Down With Determinants". He is not to be trusted
Nah
Determinants belong later in a book
you should introduce vectorspaces, linear maps, and exterior algebras first
And Axler proved his point that you don't need them for very many things
Absolutely you should do vector spaces and linear maps first, those are what linear algebra is about
But not exterior algebras, come on
Of course you should do exterior algebras
this is the only right way to define the determinant
They also give you a nifty way to talk about other objects in linear algebra and characteristics of linear maps, eigenspaces and eigenblades go brrr
And using the appropriate definition of determinant here also makes proving basic properties of the determinant trivial
and by trivial I don't just mean "oh it's just a computation" but "oh it's just this really easy computation"
And a lot of the properties of the determinant that people care about are actually just properties of the exterior product, whose structure underlies the determinant
So it's the clearer route as well
Introducing an entirely new and usually unnecessary abstraction is not the clearer route lmao
It's not entirely new? If you mean to the student, the entire subject is new to the student so that means nothing
Pretty sure I got it from a Dorst paper, gimme a minute
I would hesitate to call it usually unnecessary too. It's unnecessary only really in the sense that it is not used
I could just as easily do everything with lines and lines of scalar equations, and refuse to recognize the linear algebra underlying it all, then call linear algebra itself "an entirely new and usually unnecessary abstraction". The point is in clarity, and sometimes conciseness.
And really exterior algebra is not that large of a jump up from vector algebra, at all
and it makes things like the cross product and determinant make infinitely more sense
I almost want to say the relationship is functorial, but I don't know what that means
What I can tell you is that by the universal property of exterior algebras, every linear map between vectorspaces extends uniquely to an algebra homomorphism between their exterior algebras
If you go all the way out to geometric algebra, there is a formula for the inverse of a linear map. It uses the determinant, dual, and an innermorphism (adjoint of an outermorphism)
"Why do I care, I have a formula for that, it uses the determinant and the adjugate, that's fewer parts!"
It uses a basis (matrix representations). Here we can see $$(\mathrm{adj }f)(x)=I^{-1}\overline{f}(Ix)$$
wraithlord_kototality
where overline f is the innermorphism of f
Leo Dorst does some cool stuff, you should also check out his paper on oriented projective geometry through versors of R^3,3
There's a very nice construction in there of an oriented projective space in 3 dimensions, that doesn't start out from terribly weird territory at all
It lands you in a Geometric Algebra over the 6 dimensional space R^3,3, which is unexpected.
It really sucks that this construction only works in 3 dimensions
the TL;DR: If we start with the usual homogeneous coordinates model, with points in 3D space being represented in a 4D linear space so that we can use affine maps yada yada, we can assume no metric and take the exterior algebra, a clifford algebra
from this clifford algebra we look at the space of bivectors, which in 4D, is 6 dimensional
geometrically, these are lines
specifically, if we take two points, which are vectors (although you could probably take two planes instead and use a dual representation, where vectors are planes), then the wedge product is a bivector that represents a line through the two points (or the intersection of the two planes).
Since we are in 4D, we are really really lucky
We won't assume a full basis, but you might usually need one to find what I do want, let's assume we have a pseudoscalar I, so if you had a basis, just the wedge of all basis vectors. Then using the pseudoscalar, we can define a quadratic form on the space of bivectors
that is
taking two bivectors $b,c\in\Lambda^2\bR^4$, we can define a nondegenerate symmetric bilinear form $\langle\cdot,\cdot\rangle:\Lambda^2\bR^4\times\Lambda^2\bR^4\to\bR$ by setting $b\wedge c =: \langle b,c\rangle \mathcal I$
wraithlord_kototality
This is the part that only works in 3D
but after that, we now have a quadratic form on the space of oriented lines through space
He then shows that the resulting clifford algebra contains all projective colineations, correlations, whatever other big words
It's also the mother algebra of R^3, which has a very different way of talking about all linear maps on R^3 and its dual space, at the same time
All this plus it's 6D, which is like right at the limit of where a lot of the theorems I've heard about the computational aspects of GA start to get nutty
Like I know at a certain point the inverse of a k-vector might not be another k-vector
-# regulus
It's only unnecessary in the sense that's it's unnecessary, is what you're saying here XD
Look I'm all for telling students that there is exactly one multilinear skew-symmetric normalized function from the n-fold product of R^n to R. That's true and great. BUT
what are you talking about
that's not my definition
that's not axler's definition either
it's defined through the outermorphism
maybe the old version is the weaker one
It's not from Axler, it's from Shurman's analysis book
in the latest edition, he defines it through the outermorphism
Well, that is still lame
It's not eevn an n-linear map on R^n!
it's a homomorphism From End(V) to the multiplicative monoid of F
You do not need to talk about exterior algebra more broadly to do this. That's what I mean by unnecessary. Doing so introduces a lot of clutter that's not at the heart of linear algebra. You can motivate all of those properties via volume, talk about multilinear functions because they will come up again later, but not delve into a bunch of abstraction that clutters the presentation
Wait hold on
someone has told me I'm weird for caring about this difference before
I don't care if I'm weird for it, I care about it
Yeah it absolutely is linear on its inputs with the others held fixed
because the difference is precisely the flesh connecting to the exterior product
but its input isn't N vectors
it's a linear map
-# tf did I smoke
You can use your extra structure, like a basis, to induce an ordered n-tuple of vectors, and then you can run that backwards to the determinant
but the determinant acts on linear maps
the wedge product acts on vectors and k-vectors
yeah tbh I feel like the determinant is perfectly intuitive really idk what the beef is with it
My beef is with the coordinate representations of it
sure the formula maybe feels a bit mysterious but also n-dimensional volumes are kinda hard to compute
Just wedge away
Introducing the determinant in a coordinate free way is absolutely asking for it even in a second course.
it's easy to justify the wedge product's properties from the properties of oriented parallelograms in 2D space
idk I feel like that'd really confuse students
what do you mean?
$f(\mathcal I)=(\det f)\mathcal I$
wraithlord_kototality
so clean
which part? the part where we introduce a product specifically for computing n dimensional parallelotope volumes?
then use that to do exactly what it said on the tin?
what's confusing
All of this is about the philosophy of how a linear algebra course should be taught, and how a textbook on the subject should be organized. Putting the determinant last lets Axler show off all his clever little tricks - which are no doubt great if you want to learn about minimal polynomials! - but they are not actually going to help you teach the subject
I mean why not just introduce the determinant to do that
and then you don't have to mess with multilinear maps or any wedge stuff
tbh I was convinced at first by geometric algebra things but the more I think about it the more I think its just more confusing 
what's confusing?
but yes you do!
You are turning the determinant into a multilinear map!
and you are stepping towards the wedge product
but like why
why not just start at the wedge product and realize you had less steps to go through
plus it's then coordinate and dimension independent
Which is fine for a linear algebra course! Save the wedge product for when the student actually learns differential forms, geez
abstraction is hard, I find math people (includiing myself) often overestimate students capacity for digesting new abstractions
that's precisely when you shouldn't
mostly because abstractions are only easy and natural once you are familiar with the concrete thing you are abstracting away from
You should be familiar with the thing in isolation before you spread it across a manifold
it's intended as a second course, why would you not want to learn about minimal polynomials
we are abstracting parallelograms???
how is that hard
this goes for pure math students as well, not just like engineering math
introducing new notation, new rules, all sorts of things
it's literally as difficult as the vectors they just got a hang of
it's less difficult than the pseudovector bullshit
Yeah the biggest thing for Axler in particular is that he intends it a second course, so he has excuses to take weird routes
Of course I do, but not at the expense of the determinant
The wedge product is a very basic thing, if you can do a cross product you can do a wedge product.
It's that simple
and then after that, you can introduce the determinant
yes but you're adding more notation and more rules to remember and for what
it doesn't really do anything until you do differential geometry anyway
To make the other rules easier to remember
I don't actually teach the cross product in linear, because it is specific to R^3
(And R^7, I guess, but ew)
nah i dont care everyone finds relating things to motives natural so abstractions are fine 
I don't use it \neq It doesn't do anything
ya cross product I had to relearn to TA multivariable calc lol
the other issue I have with geometric algebra is that it relies a lot on the ability of students to comprehend this big abstract space and consider thigns like formal sums of scalars and bivectors
to make the other rules easier to remember
ok like what though
this shouldn't be an issue for anyone who can reason about real (as in irrational) or complex numbers
and even then it comes at a high abstraction cost
I promise you it absolutely is
I really disagree with this to be honest
I know it is an issue, but it should not be
You've been taking formal sums for years before you meet GA
There are ways to show them what some examples might mean sure
and most things you encounter in practice will have meaning
also the idea of having these formal sums is just really not quite that intuitive at all at least compared to just like vectors
Yeah but you don't get them unless you ask for them
Oh wait you meant geometric algebra specifically?
In that case, I would repeat this with an asterisk. The scalar+bivector objects you'll naturally meet are better explained as compositions of transformations, not as "adding a scalar and a bivector"
so the addition is wrong, you would factor it
the catch being there are infinitely many factorizations depending on which vector you start with
ok but that's arguably even more confusing 
It's only confusing if you don't know about the sandwich
you start with the sandwich
dot, wedge, gp, WHY? draw a triangle, make a sandwich, move on
What I'm referring to here is deriving through geometry exactly how you can reflect one vector across the hyperplane orthogonal to another one, how the GP is invertible, and how this "invertible dot product" lets us derive the sandwich product which handles transformations
this is a very basic task
What do you find funny
do you think it's not basic
Have you done it?
Have you seen it?
I think at this point you are either trolling, or I would hate to be in your linear algebra class
Someone else just told me they'd love to see people in linear algebra react to me
I don't know what makes you think I'm trolling?
Honestly, as a programmer GA does feel very intuitive.
you get me!
All this stuff is great for grad linear algebra but I disagree strongly that it has any place in a second undergraduate course on the subject ¯_(ツ)_/¯
Usually a student's first proof-based course
(in lin alg)
So they've got plenty of abstraction to grapple with as is, and throwing wedge products at them is just not it
for sure
go to 2D, draw 2 vectors, draw the line orthogonal to one
the reflection through this line is equal to the vector minus TWICE its projection onto the line
we learned projection thanks to normalization and the dot product
this gives us a workable form $R_v(u)= u - 2P_v(u)=u - 2 (\frac{v}{\norm{v}}\cdot u)\frac{v}{\norm{v}}$, we then use the most basic of properties of the GP, to get $R_v(u)= u - (vu+uv)\frac{v}{\norm{v}^2}= -vuv^{-1}$
wraithlord_kototality
problem with abstraction is that once you understand a particular abstraction it becomes very hard to understand what it feels like to not understand it
while at the same time often feeling much more intuitive
I've run into this a good bit when explaining things tbh, in my head something is just so clear and intuitive but when I start explaining it I realize that the only reason its so intuitive is that I've already fully internalized all of these extra abstractions
This is literally anything?
This is genuinely basic
Like anything in life
.
yes true, though I find it particularly holds in math
"problem with learning how a toaster works is that once you understand it. That it becomes very hard to understand what it feels like to not understand it."
Like if you can take basic linear algebra, you can handle this
if you can draw the vectors and do the thing
you can do this
this isn't even a second course thing
Again life in general just as strongly.
idk to me math has a lot more concepts that feel like a completely different world before and after you understand them
I mean if I always follow the instructions on the packet. Then I will never know truly how to cook.
k-vectors don't stop being non-simple until 4D
there are plenty of things in life that I don't understand, then I learn them, and know I still understand completely what its like to not understand it because its just not that deep
multivectors aren't hard to grok until you add k-vectors and j-vectors instead of multiplying them
Strange.
you don't add vectors and matrices do you? no? you multiply them?
so lets multiply the k-vectors and j-vectors
have you ever taught linear algebra
...
ok I think we can be done here then
You the best
How goes the math?
what's your point
my point is if you haven't interacted with students you don't really have any idea what is or isn't easy or intuitive
you're just guessing based on yourself
Yeah, I had that moment for a bit.
Idk, my experience of people that don't get it is I explain it to them and they they tell me the right answers but insist they don't know them
not linear algebra, but generally speaking
I mean you taught me a lot, and I thought that the exponentials were hard.
Or at least counter intuitive.
I don't know what it means! My sister is the biggest culprit, she'll ask me for help, insist she doesn't know, I'll look over her work and everything is right, I'll ask her some questions and she gets them right, I ask her what the problem is and never get an actionable answer
Yes you understood well, and I feel most people do, or can, understand
In this scenario I usually hazard a couple of guesses at maybe a gap in understanding of terminology or motivation, assure you that you can do it, and move on
Unless you want to argue with me
I'll argue with anyone for any reason and any length of time
Oh I forgot the part where I rant about things no one asked me about
I liked the whole GR thing, which I sstill need to finish LAGA then read about GA GR.
Hi yj.
How goes the mathing?
What have you been working on?
What's the difference between algebraic number theory and just number theory?
Cool stuff as in Landland's program?
Or cool stuff as in something else?
Honestly all this stuff is over my head, and it's cool you're into this stuff.
I want to understand some number theory more, because I feel like it'll be helpful or something.
The more I hear about primes the more weird they actually are.
I still need to learn about sheafs more deeply
. I had a friend explain them conceptually, but I really don't get them fully.
Yeah my friend explained them like that.
Sounds like he gave me a good prespective. It's deals with every function or something around that. I forget the details, because I don't deal with them much.
Yeah, I deal with totally different stuff
.
I mean it's a neat idea, but like idk.
is it jover if i have a medical reason that im having trouble submitting my homework on time
i got bit by a dog in the weekend and that rlly messed up my weekend
idk if i should talk to my professor about it
i might just submit what i have done 😔
i can get a doctors letter too
that sucks, how're you supposed to keep your ADHD in check?

sibel you made me sad
Dang it
the clankers are asking for help
Tell him that because honestly tho as long as you do your work and its done the right way professors will not care
OMG WHAT ANIMAL IS THIS???
ITS SO CUTEEEEEEE
I think I know oit but i dont remember the name
i think its a chicken
Lol 
furrer

I hate Newton and his "PHYSICS"🚫
At least i dont have math anymore
this is why ur name is a russian hello
You don't mean sir Issac Newtown tho right?
Guy who invented calculus
While got fired Leibniz was watching
...
May it always be truthful and always last, may the saddest days of your future be no worse than the happiest of your past. Us all blessing each other this way seems to be good math. . 🙂
Not the best taste in youtubers
just the results from googling "crisis in cosmology"
sighbine
I've never watched her videos; are they good or bad?
(Now I'm a Mathologer enjoyer
)
they are rather pointless
Finishing my masters and existentially terrified of the effect of ai on math careers
I’m irrationally worried there won’t be any PhD positions by the time I apply
For next cycle
Probably irrational but I have a lot of resentment towards cs bros because of this
Funny how it was thought that machines were supposed to take over manual labor so that we could allocate time and effort towards intellectual and creative endeavors
And it's exactly backwards
Yep
A bunch of CS bros who think everyone hates their job think a world without work is utopia
It’s a world without purpose
Anyway
Hi people with ADHD. How do you study a math textbook without your brain dissolving your concentration?
Because math is crack, besides this. Problem big fun, and coding big fun.
Huh?
Personally I think reading math can be very annoying at first, because you need to understand every word of the author. It gets okay with problems, because its your own logic, but reading others math (or coding) can be difficult sometimes.
It gets worse when theres so much distractions too. Thats why I always put phone away.
I apologize, but the channel was hidden for me.
928
thanks
Ur welcome
Hi
Hello nerds²
you can’t find purpose in life without a job?
exam tomorrow 😔
Hi
what's the best channel to self study ap calc a/b? (taking the exam at may 💔 )
organic chemistry tutor if ur talking about youtube ig
or just khan academy
thats probably the best one
I have no purpose in life without math
why would you need a job to do math 
What’s the point in doing math if AI solves all the problems
since when is ai solving all the problems 
if ai gets to a point where it can do that then the entirety of society is fucked basically
the good news is that it wont happen anytime soon
Because this isn’t actually the point lol
It’s just depressing
Like the day an LLM does what it did in bio and some CS bro who drunk his way thru college and who’s only skill is getting investors to give him money to buy compute power wins a fields medal because he had a big enough data center to prove a famous conjecture
That will suck so hard
It already happened to the biologists
This isn’t likely to happen and even if it does it doesn’t actually matter
the logical conclusion of ai-assisted math is independent ai math
These are all incredibly stupid takes
i dont think this will happen, im saying if it does
AI proving a theorem sounds exciting
Maybe not necessarily the good exciting
Maybe it will exasperate me
But maybe it will also be fun
For the hat tile, it would have been rather deflating tho, I'm glad that got proven by humans first lol
the real problem is the effects of unemployment such technology would have. if you don't think that is an issue i don't know what to say
We will move to a post-work society anyway
I wonder if people complained about machinery replacing menial jobs back in the day
I mean the usefulness of these kinds of AI tools is fundamentally quite limited here even if you grant oracle like abilities of deciding truth of mathematical statements, this does not actually put mathematicians out of jobs because this is not actually the job of mathematicians in the first place
Of course, being a mathematician, programmer or artist is more fulfilling than ploughing the fields or doing rote work at the conveyor belt...
if you're referring to teaching, those jobs would also be replaced if the technology got to that point
this is maybe a more realistic concern yes but I'm speaking to research mathematicians specifically
a lot of low level teaching jobs are already automated away from the hands of researchers through the exploitation of graduate students and adjuncts
if we could somehow remove the need for this busy labor that would be great
I'm a bit skeptical as to how well this can actually be done with these tools but whatever
but these tools will never be able to train people to do research, nor are they particularly useful for the parts of mathematics research which are actually interesting
i mean right now of course. the idea is just that artificial intelligence could evolve further to a point resembling agi. that's the worrying situation
I really don't think this is a realistic thing to be worried about
yeah i agree
if it does happen, it won't be anytime soon, maybe not even within my lifetime
yeah agreed
like if you extrapolate current trends, these models are becoming exponentially better at some less interesting mathematics tasks and yet they show virtually no signs of becoming better at certain more interesting tasks
the more interesting trend line here has slope 0 so like idk I don't find this so threatening overall
these people in the 1980s: nooooooooooooo computers are gonna do all calculations for us and i can't work
this isn't really how this works
these models don't just magically learn to reason able new definitions which are completely outside their training data
you can always train new models but this is far too expensive in practice for this to be a worry
i also hate when people act like ai is not a fundamentally unique technology. its like the people who think that making ai generate them some image is the same as actual digital art tools
Daniel Litt is a professor of mathematics at the University of Toronto. He has been a careful observer of AI’s progress toward accelerating mathematical discovery, sometimes skeptical and sometimes enthusiastic.
Topics we cover: the hardest problems models can solve today, whether there is convincing evidence that AI is speeding up math rese...
yeah severely doubt LLMs will ever do interesting math
this is a very good recent interview between my PhD advisor and AI researchers on this overall issue
like fundamentally the issue is that these models are really limited in their ability to generate actual new mathematical insights and intuitions, this is maybe the most important job of mathematicians beyond merely deciding which statements are true
well with the current models you can sometimes probe it to push a result like 2% further, thats about as far as its gone
basically what happened with the erdos problem thing
and even then thats in edge cases
I never said my opinion was particularly rational (in fact I said the opposite). Nevertheless it seems like every week there is a new headline about AI proving an open conjecture. It scares me a lot
in particular these tools may become very good at solving open conjectures but they are rather useless for the task of generating new interesting conjectures in the first place
well this really doesn't scare most people who are actually researching mathematics
i mean most difficult conjectures require interesting and/or new ideas, no?
it's very easy to get spooked about this sort of thing if you have some very narrow and limited view of what mathematicians are actually doing
maybe some smaller stuff sure
I suppose I just don’t know enough number theory to see how hard these conjectures being proven actually are
In fairness I have done some research just not in number theory
are you referring to the erdos problem thing or was there something else like this that happened?
Last night axiom math published another thing
That’s what sparked my initial comment
This isn’t rlly number theory tbf and many ppl saying it’s just easy
So then I guess I’m overreacting
well career wise you shouldn't worry about it
Yeah fair
Acceptances at all grad programs are very down this year tho that’s prob more due to funding than AI
yeah this is largely a funding issue especially in the US but also in Europe to some degree
China is a completely different situation of course
for all the speculation and worry about AI completely cratering academic jobs, these kinds of political and economic issues are a much bigger worry
So how’s AI psychosis treating this server? You folks seeing a lot of cases?
The mathematical community has been dealing with the crank phenomenon since well before the advent of GenAI; LLMs have just intensified it a bit, but I don't see it as a qualitative change
The quantitative changes though
before consumer genAI cranks just strung together random cool-sounding concepts into a few pages of gibberish trying to sound smart, after genAI it's that but now with a sycophantic bot that validates their crap and tells them plausible-sounding gibberish which they trust blindly
@vivid halo
That's why mathematicians won't disappear
Idk why common people cease to understand that
Like the fundamental reason they are scientists/mathematicians is "they are literally gaining new insights and connecting dots which llms won't ever do"
Like fundamentally, llms are just "guess and check" basically, it can never close the fundamental limit for "reasoning"
They have got the smartest leaders no joke
Hi Guys I’m. Alittle confused in limits
is limits like trying to find the slope at exactly one point, but can’t, so u find the slope by 2 points that are extremely close to each other?
I don't know abt that
Even I saw a definition of limits like that from yt a few years back and ig it isn't that good
I pinged you in #calculus
You can read that msg of mine for limits if you have any other doubts I'm happy to help
I don’t understand this. I’m pretty sure my professor uses the notation e_i e_j to mean e_i \otimes e_j. That’s how we defined the gradient. But then how does the expression (e_m \cdot e_p) \otimes e_q make sense? How do you tensor product a rank zero tensor (scalar) and a rank one tensor (vector)?
This seems like ridiculous abuse of notation
misbracketed the 1st line?
Where?
Doesn’t the tensor decomposition need the tensor product of the basis vectors?
i dont know
and even then you still end up with line two which is scalar otimes vector
i dont know what ur doing, i can just see things
this is my professor’s work and I too do not know shuwui 😔
Ya ig I will go office hours sometime
e_m cdot e_p should be replaced by nabla_e_m e_p? under normal coordinates it is delta_mp
im wrong nvm
tyyysm
ig you can tensor product a scalar and vector? it’s just scalar multiplication I think
The notation looks fine to me
Np :)
i think its just scalar multiplication. im not familiar with your notations but the inner product probably comes from raising indices, which is in the definition of div
Ya I understand it now, I didn’t realize that we define a \cdot (b \otimes c) = (a \cdot b) c
Bias variance tradeoff should not exist and should not be taught
Does asking for help with either past or practice (I forgot which) AP exam questions that my teacher assigned as classwork count as using help channels for a test
No i mean maybe ur allowed to ask for help for some but definitely not all
But they wont give answers ur just gonna be guided to it so ur basically still doing the work
based
Fun fact: 'If 2^x and 3^x are integers simultaneously, then is x an integer?" is still an open problem. But we already knew that if 2^x, 3^x and 5^x are integers simultaneously, then x is an integer.
Well the answer is yes x is an integer
I have proved this rigorously
Via 🧠
Would an infinite space have no center, or would every point be the center?
Idk id assume every point is a center
If u define a center as the point equidistant from every edge.
so if a space is actually 3D infinite then no matter where u start no point will be from the edge
You could say every point is a center if it's from the observers pov
That's what I assumed
Is anyone else just getting rejection letters from the graduate programs they applied to?
In your profile picture I keep seeing it as a weird dog.
Strong paradolia.
that low quality version looks more like a duck or something to me
Yeah, I was listening to some music, and that's how I saw it.
@vivid halo I have a dumb question probably about q-pochhammer symbol.
$\sum_{n=1}^{N-1}\ln\left(1-aq^{n}\right)=\ln\left(\prod_{n=1}^{N-1}\left(1-aq^{n}\right)\right)=\ln\left(\left(1-aq^{n}\right)!\right)$
DisOneGuy
You might have to explain to me where the factorial came from
What for?
Well the fact of \sum_{n=1}^{x}\ln\left(n\right) = ln(x!). So, there's probably a way to relate the two because of that.
uhh
H
Hi, I just was realizing you could do q analogue stuff and make it into sums. Which I found neat. I think there's a way to relate it to log gamma probably, but I'm not sure exactly.
I mean q-Pochhammer itself is basically q-gamma
That makes sense. 🤷♂️ I guess I'm just going about showing that differently. Also would q-analog with sums be something interesting or not?
the log isn't really doing anything lol
Is anyone the best at mathematics here
I mean it's making it into a sum. Otherwise I'm not sure exactly what you mean.
I mean sure but this has no extra content
I have a problem here please somebody help me, it will be appreciated
No, yeah.
What it might let me do is make random sums into q analogs for free. Or take q analogs and just make them sums then integrate or derive them then put them as q-analogs again.
usually the natural form you want to write these things involves products and exponential form anyways
this is basically a way to guarantee garbage results
I mean, has it been tried?
you don't just produce interesting q-analog identities by screwing around like this, they need to come from a deeper source than the original identities themselves
no you have it completely backwards this is profoundly interesting
I mean what's interesting is up to the person.
I don't dis like it, but I would have to be in a different context to appreciate it fully.
usually these q-series with arithmetic significance are very hard to pull out of thin air, they need to come from some rather deep constructions
Yeah, I got it when you said that.
the main place you go looking for these things is t-deformed q-difference equations
q-difference equations are very very hard to solve
why is discussy 2 alive
Yeah, you were telling me that.
I just don't think I'll really get into them ever, even though I do know about it some.
heresy
usually once you have these q-series you are able to extract more classical special functions asymptotically
the appearance of Li_2(t) in the asymptotics for (t;q)_\infty in the limit q->1 is precisely why these things are related to quantum dilogarithms
Yeah, but all that stuff I'd really have to learn and understand. Like I can see it and be like neat, but then I can't just treat them normally.
yeah I mean this is very hard and magical stuff
there is a standard story to learn about this stuff though
Well if the sum log thing is ick, then like 🤷♂️ . Ugh.
like it is worth spending some time with the q-deformed version of the 5-term relation for the dilogarithm
you get a similar relation for the quantum dilogarithm and there are loads of very classical kinds of proofs for this
one such proof comes from the Jacobi triple identity for theta functions
pages 26 and onwards in this Zagier paper give a wonderful survey of this sort of thing
you have to remember that variables are no longer commutative in this setting
they are only q-commutative
this is why this setting is so rich and why the identities are so much harder to prove
@foggy meadow https://www.youtube.com/watch?v=pHL8E2lZ_eM
The theory of $q$-Whittaker functions for classical types is known to have a (quantum) cluster algebra realization.
In this framework, a natural connection with the quantum dilogarithm is known. We show how this extends to the more general case of Macdonald theory in type A. We propose new Givental-like and Mellin-Barnes-like expressions for the...
this is probably the single cleanest introduction I have ever seen for this sort of story
loads of very explicit computations and examples whole way through
Hello
Heyyyyyy
wht are helpees
people asking for help
im new
ohkkk
UWU can I friend you? :3
no.
:3 why not
cuz I don't even know who you are
Your resolve reminds me of my former student
Can you teach me how to solve quadratic equations?
!help
To ask for mathematics help on this server, please open your own help channel or help thread. See #❓how-to-get-help for instructions.
How do I solve x^2 +2x + 1 = 0?
did you read this prompt?
no

Hello
,ui
Name: Infinium³
Nickname: None
Seen in: 2 guilds
Joined at: <t:1755056314:F>
Created at: <t:1732731102:F>
he/him, they/them, Helpful, Chess, Archivist, Meta, Undergraduate Math, Talks, Bot Enthusiast
250483. ahmed_tk1
250484. ayomidewealthbuilder
250485. tranquil_n0va
250486. > finestperfectionism
250487. rom64
250488. primehp05
250489. famousrelic19
pairs o²f tw
wrong channel blud
OH SHIT

aura loss
modz don’t ban me
!topic
…talking about aura itself is a fucking aura loss 😭
Please read the channel description before posting, and stay on topic.
I saw higher, hanako, and definitely car and my brain defaulted to bots. 
does anyone know how to get helpful role?
because i've been here for like 1 years i think and i've been helping ppl in math help for pretty long time now
you get it if you’re a mod
patience! ❤️
-# or you got noted, but unless you did something bad in the help channels you probably aren’t.
Progress towards helpful never degrades, and both the forums and regular chnanels count.

the thing is some ppl get helpful while not even helping
at least thats what i see
you dont, but you do in essence
i am unworthy of #「helpers-lounge」 yet im there
the help channels are calling matroid
Some people retire after getting helpful.
that doesnt mean they should come in and tell ppl to search it up because someone doesnt know something
and saying that we are not a search engine
you know like people who come back to their high schools as like volunteers or judges or coaches it’s lowk giving peaked in high school
there was a time where i was somewhat active in help channels but nowadays i cant look at calculations anymore
if i ever come across a help channel like "how do i do this group theory exercise" i might hop on
Oi, @ me next time 

-# (also mandatory hiiiiiiiiiiii
though I'm about to sleep
hope you've been good
)
Sleep well! 

-# Will do.
❤️
Which language should i start learning, python or c++?
do you have any goals or plans in mind after you've learnt programming? python is decent for data and ML though it has packages for basically whatever, it's a good all-around tool and often what people first learn when they learn programming, while C++ is mostly for low-level or embedded programming
we have a #1213610885277421588 forum you might be interested 
I feel like cpp might be a bit more versatile, but the steeper learning curver relative to python is putting me off for the time being.
c++
start w java like for base then you will understand c++ and python very easily
i mean i did this
Hello nerds²
Hey flux!
javascript is the easiest
there are no libraries for you to learn
C++, earlier you try learn harder stuff the better.
When you segfault you'll realise why there's so many C++ replacements
Man wants to ask his crush out but is shy
His friend tells him, just be non chalant and say “You’re an 8 on a scale of 10”
The Man was confused by this advice, he didn’t know why this would work, but considering his friend has had luck with the ladies,
he cast his doubts aside, trusted his friend’s advice and went to her and said “Urinate on a skeleton”
Depeands on what you wanna do exactly,
I'd recommend python if you wand to jsut do something
C (not C++) if you wanna know how computers work
And C++ if you want an inbetween (that imo isn't as good at eather but it does both good enough)
<@&268886789983436800> spam in several channels
Lol 
hellooooo!
<@&268886789983436800>
Hola amigos! I do not speak the Calculus of Variations
Can anyone please explain why $\delta(N_I(x)u_I(t)) = N_I(x) \delta(u_i(t))$?
feather
Someone explained it to me as "in the context of the problem we are varying u, so that's how we know we take the variation of u only" but that is not satisfying to me
If I did not have context, how would I know? Does the variation operator obey any product rule?
Because then I could justify it as $\delta(...) = \delta(N_I(x))u(t) + N_I(x)\delta(u(t))$ and since $N_I(x)$ is a defined function then it can have no variation?
feather
The key point is that the displacement field is approximated as a linear combination of shape functions
u(x,t)=I∑NI(x)uI(t)
where the shape functions 𝑁𝐼(𝑥) depend only on space, and the nodal values 𝑢𝐼(𝑡) dependo only on time
Now, the variation operator has two important properties. one of them being linearity:
(a+b)=δa+δb,δ(ca)=cδa
for any constant c
And also independent quantities do not vary, spatial shape functions 𝑁𝐼(𝑥) are fixed functions, so δNI(x)=0
now, applying this to your expression:
You can start with:
δ(NI(x)uI(t))
and using the product rule for variations:
δ(NIuI)=(δNI)uI+NIδuI
but since NI(x) is fixed,
δNI(x)=0.
Therefore you get
δ(NI(x)uI(t))=NI(x)δuI(t)
Always!
You study FEM?
Now I'm offended
Why? 💀
I did study it a while ago
Jk, but there's literally no difference to what I said about the shape functions being independent of u 
This makes more sense to me because now the variational operator is independent of the function you're taking the variation wrt
May I add you to harass you with FEM questions in DMs?
i'll try to help as best as i can
im a bit rusty
no problem!
Do goats usually have feathers? 
FEM harassment moment
Hiiii feather :3c
hi convyyy how you is
This one do
I'm doing well actually what about you 
I am just alright 😛 not the worst
being alright is better than being the worst 
I didn't know that you started your FEM arc tbh
LOL You study it?
I’m taking a course for it and I guess I want to do something adjacent for it so it seemed right
I have the choice of working on FEM but I chose the TDA pipeline
What is TDA?
Topological data analysis
I GUESSED IT
Lmao
Definitely
It's more of using (algebraic )topological tools to do things with higher dim data
What is higher dimensional data? Do you have an example?
Ig the most obvious one would be along the lines of Healthcare Data
Go on
Yeah that's all I know I'm just in the early stages of learning it 
You will make big money in data analytics
If there's someone who will employ me 
big if and only if btw
what convy said
yo chat does this order look right? ODEs + Calc 3 --> Lin Alg --> PDEs
PDEs -> ODEs -> Calc 1 -> Calc 3 -> Lin Alg
what!
I already took calc 1, I KNOW thats not the order
Calc 1 -> Lin Alg -> Multivar calc -> PDEs -> ODEs -> Calc 3
Pre-arithmetics -> Algebra -> Pre-algebra -> Calculus
you need calc 3 for PDEs no?
oh i looked at your bio thanks for the Lin Alg notes~!
That's what the evil mathers will tell you
Actually it’s
Solve the Riemann Hypothesis -> arithmetic -> Complex Analysis
With no in between steps
and then prearithmetics
im on strp 3
idk where to do ocmplex analyiss
ofc
You still need Pre-Pre-arithmetics
i did all the arithmetics with arithmetic
Gödel turned over in his grave when you uttered these words
Very unlikely
HIIII, Does anyone have any tips on how to become better at understanding physics as someone who understands math better ?? Sorry i'm new if i'm not supposed to ask the question here
depends on your background and why you are interested in doing this in the first place
college i have toooooo
yes hhahah
Definitely no completion, but maybe they're more... consistent


hi
Hellowo

the disappointment






Why you have not Even a Name?
You should study hard buddy.
what's that?
yeah bro
imagine having school tomorrow
I have school right now
ew
I’m about to go to sleep though and get some lala land tmr at 10am
literally love it when I don’t have to go to that jail cell
@wicked oxide
Welcome to Mathcord, new nerd
@gilded vine
?
can we dm? if you're okay?
if you want to DM me, perhaps close this channel first, notify me in discussion-2 about what you want to discuss, then I'll let you know if I am comfortable discussing with you.
Thanks
hmm











FOXYYŸŸYYYYYYY
YAYYYYYYYYYYY
Is that a fox
indeed
Foxes aren't real
rip @serene vault

Silly, the fox is in C rather than R obviously they aren't real
Very true my convergent friend. Some might say I am partly imaginary 
Yes?
Smol epsilon ball in R 
Hii
Guys can someone tell me
Cool jobs
With pcm math stream
Also with high pay
I want sm like cybersec
Is anyone in cybersecurity?
does anyone know how geogebra determines if two points, lines, etc are the same?




no idea, me new too
this place is really big and i'm scared
indeed
yeah
i recommend staying towards more topic oriented channels..
it can be easy to get lost in the flow of discussion lmao
it feels like they're active 24/7
ive seen discussion quiet for like, at most 30 minutes once at 4 am EST
PCM?

Math
What does pcm mean
higher! 
So are you just asking for math related jobs??
Ion know maybe
Other than tech
Yeah
yo anyone got the discord server for gauthmath?
Hello
Name: Rimjhim
Age: 17
From: Bangladesh 🇧🇩
Studies: A-Level Candidate (Edexcel)
Languages Spoken: English, Bengali, Hindi/Urdu.
Hobbies: Lit in all forms — novels, manga, anime, poetry, stories, VNs.
Anime: MHA, AOT, KNY, Assasination Classroom, Love is War, SpyxFamily, Dandadan, Kimi ni Todoke, Oregairu, Ghibli movies, etc.
Novels: Austen, Dostoevsky, Kafka, Brontë, Dazai, Orwell, Plath, Montgomery — traversing classic & contemporary.
Special Inspirations: Anne Frank’s diary & DDLC (both made me write), Danganronpa (favourite game series).
Music: J-Pop, K-Pop, Vocaloid, Classical, Bengali/Hindi/Urdu — mood dictates.
Beliefs: Capitalist-leaning, with socialist touches; individualist & idealist. Theist.
What I value in a conversation: I prefer a single, well-sharpened thought over a cloud of chatter. Grammar is the architecture of meaning, and I admire those who build with intention. Show me a clear idea, elegantly expressed, and you have my full attention. I listen longest to those who know how to shape a thought — not just share it.
Socials: I keep them quiet, even if installed. 🥀
If our interests align, feel free to DM! (I may respond).
Arra bha
I love my doggo
tuffest gif ive seen in a while
gng plz lock in🥹 🙏
btw plz answer my question its in help-36 plz u samrt right🥹
dont ignore ur day 1s 💔
wowies sucess rly changes some ppl thats crazy
now am broken frm inside
ts me btw
nah id switch up
is ts tuf in blr
hi guys
Is anyone familiar with the math used in machine learning? (Matrices, stats and probability, calculus) I already know the basics about stats and probability and i know a little calculus too, but i'd like to learn more if anyone is willing to help!
Can you recommend a good resource?
Or i'm down to just listen too if you wanna teach me
Ooo
Well i think i do have some linear algebra resources already, but what i guess i'm really asking is: is it worth learning all aspects if linear algebra equally or can/should i just focus on concepts specific to ML?
Oo ai ml
I also wanna learn these things
Wanna learn together? What makes you interested in it?
Sure!!
Honestly I am just super curious about how it actually works behind the scenes since its everywhere now
And tbh I am doing this from scratch
Yep that's exactly how i think about it too. Well it goes further but in order for you to not have to read an entire philosophical essay its pretty much that
Me too almost
Yeaa
:] ooo less goo
I only know a tiny amount about coding and the basic frameworks behind AI but that it when it comes to the technical details. But i have been doing a lot of philosophical research into it tho. In terms of technicalities i'm at ground zero basically
But i wanna ask do you know anything about matrices/linear algebra
I know like a bit of python, html and game development.. I know how unity works and character design and stuff.. And talking about ai..
It's a total new thing for me
But learning things from scratch excites me :]
Yea like only a little bit of linear equation not even linear algebra T-T
??
Then that's likely where we should start. let me look into how.
Yea yea definitely
Ello
I found something
A YouTube channel named
3blue1brown
Let me check it out
Oh yeah actually i already have completed a course on vectors i somehow didn't realize this is linear algebra, but i don't think i remember vectors very well
But i do remember them being easy compared to the rest of my math classes
Yeaa
Check
Freecodecamo. Org channel too
Yeah i will
I looked into the very basics of matrices and that stuff seems relatively intuitive until you get to multiplication.
I mean not that multiplication is gonna be super difficult but its not caveman level
We have to become caveman for that T-T lol
i think i partially understood why we use matrices for ML. I'll explain soon buy i'm gonna go in the sauna first.
Are u doing linear algebra?
Yep
Yep Linear algebra/matrices
Have u done singular value decomposition yet?
Idk what it is..
A type of decomposition for any real matrix its used in a lot of applications
Like yk abt diagonlisation right
I think i understood why matrices are used in ML. Because a ML model is essentially just a program that can make adjustments, and the model transforms numbers with matrix operations because it's the most efficient way to compute even large amounts of data in a short time, because instead of having to compute each dataset one by one, you can turn it into a matrix. For example if you have 10 people and you want to know what grade they can expect to have based on their daily sleep and study hours, then you'll just make that into a 10x2 matrix with the people represented as the rows and the hours of sleep and studying as the columns. Then you create another matrix for the predicted value with the "weights" to predict the value from both variables. So you get a 2x1 matrix. Then now you just multiply the matrices with matrix multiplication
That's how i understand it now, but i might be completely wrong tho.
energie strom ihr essen versorgung ist pollen also hoffe ixh sie trinkt ist rüsselt und dann setze ixh sie wieder raus und sie und ixh sind glücklich
❤️

alpha external acsess gate 13 📌 ❤️
man kennt einen der einen kennt der einen kennt der einem kennt der einen kennt
thats a philosophical answer right there if I have ever seen one
Idk what it says because it's too long for the translator
something called piece by piece😔
My friend and I are arguing and I say that sorry is sry but my fiend says it’s srry
Someone resolve this
<@&268886789983436800> user not speaking english
Please keep chat in English for moderation reasons! 
Oh yeah I just noticed the text wall after you lance
Since you've received a past warning for this you'll also have a 1 hour mute.
Again it's just because we can't moderate chat if we can't understand it and have had a few incidents where bad actors abuse that to post slurs, hate speech, nsfw and other bullshit.
you know someone that knows someone that knows someone that knows someone that knows someone
advice for someone taking discrete next year?
I know someone who knows everyone who doesn't know themself
no you dont
Trust me all know someone they think they knows them
Hello
I went to a cool talk about the model theory of the Farey graph today.
Nice
But also peep the Clausen IHES talk that dropped tonight
“One thing that is funny about Peter is he thinks number field shtukas exist”
The short version of the story is that the complete theory of the it has an extremely simple axiomatization with like 4 axioms. The models all look like if you glued a bunch of Farey graphs together by identifying a single point from each of them. Also you get an extremely nice characterization of the Scott ranks of these.
Oh nice
I’m wondering if I can find some number theory applications of this.
Weil anima
Will do!
Knots and Primus
My name is M_d.
Can’t wait to have better version of the Weil group so very soon

All the fucked up 2-torsion garbage finally fixed
Very exciting remarks towards the end of the first lecture about global Langlands and F_1 memes
Very exciting times
I’m thinking of straight up switching fields so I might just think about this stuff.
For the moment I need to prepare a lesson for my random matrix REU meeting tomorrow.
Everyone in my current one fled in fear when I showed up.
being friends with fellow schizos is so much more interesting than normies bc we talk about the patents they're using to control our central nervous system instead of complaining about your co-worker or whatever like bro i don't give a fuck
Us
amazing
"number field shtukas " this sounds hilarious 
Any JEE aspirants or class 11 or 12 students?
what kind of math
we can discuss what you want
I like analysis most, but I am also good at algebra and differential equation field
hey
how do you compute the arc length of the graph of the sine function from 0 to pi?
haha, it's simple definite integral problem
are u testing me? don't worry. i'm good at
please explain
no, i always wanted to know how to get the result
for a curve y=sin(x), the arc length from a to b can compute like following
it's difficult to write the Mathtype, so I explain more detail
the formula is the following
Length of sin(x) = integral from a to b of square of (1 + square of cosine of x)
understand?
yeah, i understand so far
are u uni student?
\[L = \int_{a}^{b} \sqrt{1 + \cos(x)^2} \, \diff{x}\]
Zan (鹿乃 #1 Fan) ❀
right?
no, i am not
how did you get that
you don't know compute definite integral?
please elaborate
i don't know how to compute this integral from 0 to pi
how old are u?
why do you ask
I'd like to know that you are hishschool student or not
no, i am not
so, do u graduate the highschool?
i have already graduated from high school, yes
i am not
what does that have anything to do with the problem?
you said it was simple, can you please elaborate how you got 3.82?
Calculate using the second approximation method
it's curious
curious?
no matter





