#serious-discussion
1 messages · Page 206 of 1
No
I don't understand why you are listing various classical mechanics subtopics
Combine them and think what activity needs all of this
I dm'd you
Ah
I was thinking of rowing or some other water-based activity, so I guess I was close
Cool! I also like diving, but haven't had much chance
The sampling method COULD be accurate depending on how many people you take and who you take
I went for about 3 weeks
In december
it was 925 people from the ads and 185 from the open ended college surveys, so about, 1110 people in total
What did you see?
It could be about accurate
Chinese nemo (yellow nemo)
do you know what the sampling method exactly is?
Hold on let me use the sampling method
ok!
There are more sampling methods
There’s this one:
$s^2 = \frac{1}{n - 1} \sum_{i=1}^{n} (x_i - \bar{x})^2$
TabMineCrafter
There is also n=N/1+N•e²
I used SurveyMonkey's margin of error calculator, put the total population and the sample size with a confidence score of 80 and it said 3% and with 99% it was 6% but they don't really mention the confidence score in the paper
Ok no
I used the wrong one
they are using what's called cluster sampling, right?
TabMineCrafter
that is $n_c = \frac{N_c}{N} \cdot n$ right?
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,ti @true zinc
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can you explain this?
$n_c$ is the number of clusters to sample
TabMineCrafter
$N_c$ is the number of clusters in the population
TabMineCrafter
What time is it for you?
wait... so how do I use this? Because there are multiple sub clusters as well, they divided the US into 9 regions, and those 9 regions into most populated, and then the remaining into more than 25,000 inhabitants and those with less, and then chose the highest populated regions and those with >25,000 inhabitants
past midnight

,ti @fresh comet
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Bros on discord at 1:47 am
you can sometimes find me here at 6am 
abhi to party shuru hui hai
tumara hindi kafi badya hai , bhai
,ti @ancient lance
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,ti @north topaz
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@ancient lance wanna do math
mazaak kar raha hai
nahi
that's literally the title of a song
it's like if you copied and pasted xue hua piao piao (in characters) into chat
At, almost 1 pm?
well, i'm better now
G-ometry or algebruh?
Oh ok
Where you at?
I thought you would know that anyways
that Indian party song is so famous
it has a six in the morning line
due to Indian pronunciation it really sounds like sex in the morning to me
which is weird and funny
cause those videos always have girls dressed up loosely and stuff, All India Bakchod made a vid on every Bollywood video ever
I don't follow mordernt bollywood tbh
I listen to songs form the 70s and 80s mostly
Like this?
$S = \sum_{n=0}^\infty a r^n$
TabMineCrafter
like this
fair, yeah
S = a/1-r
When you buy an iPad to write and to do math on it just to realize paper writing is 1000x better but you have to stick with your goal of writing on ipad
,ti @ancient lance
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,ti
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Is this real?
that's up to you
So you cannot relate to it?
It’s up to me if you can relate to it?
i'm saying whichever medium you prefer is up to you
But can you relate to it?
Yoo
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We could, but then our list would circle back
Estimating the magnitude of 3 forces in equilibrium
Calculating the initial velocity when launching, a bird for example
aap donon yahaan hindi kyon bol rahe ho?
kyu nahi
in all seriousness, just for fun
Hey everyone! I'm Gaspar. I'm teaching myself some maths, and I hope to learn with all of you ☺️
And i do maths with u coz i am bored
So where are you rn?
Basic math, just started.
I've got no issues with it tbh lol, just don't want y'all to get whacked by mods
good morning folks
More specific
wait Ryan that reminds me
can you speak Indonesian (Bahasa)?
yea but we don't speak it much so we're very very rusty, especially compared to our hindi or spanish
How long do i read and write everyday , im a high school dropout and i wanna go to college for stem degree in my 20s
my vocabulary very bad and im incapable of writing essays
1-2hrs, just start slow, read a text and copy it if it's short enough, eventually start summarizing and writing about the texts
thank u ryan
hey wdym by read a text and copy it
Literally write it word for word
and by short I really do mean short, 3-5 pages long texts
yes i recommend writing by hand if i were in ur shoes bc i remember stuff better when i write it by hand
This helps immensely
I never understood typing out notes it just doesn't feel the same imo
real. altho i have to admit if ur a gamer or a programmer typing might just feel better
I play an ok amount of video games but typing just don't feel right for taking notes
For programming it's all in my head no notes (probably not good but it do be like that sometimes)
hey peg
Weak English is an obstacle to learn maths
then learn english intead of urdu.
I find listening to politicians very helpful
Because they talk around the bush and talk airy fairy they have to come up with flowery and complicated words so they sound smart so they talk a lot and they talk flowery
You can learn those words
And also works for interpreting practice
Hmm, I'm about to dive in to "rules for multiplication"
loll
yeah ive tried typing stuff for notes and it goes in one ear and out the other when i do that
but it's good for when i want to make summaries of stuff
or even mind maps
i think i prefer mind maps that are typed over ones that are written by hand. they're just neater
if u dont mind, what software do u use to type ur mind maps/make them digitally?
i'm curious as to what other people use for that stuff because i keep on hearing on those productivity youtube things that obsidian is really good for that, like they say it's a lot better than notion, but i have tried obsidian and it is definitely very comprehensive in terms of features but sometimes i find that it is too much for me
like obsidian is so complex for me that i have difficulty using it if that makes sense 😭
i wish i could remember but i dont. tbh i have not made a lot of mind maps, maybe like 10 at most in my lifetime lol
it's okay!!
haven't kept up with productivity apps.. is it new?
ok cool 🙂
i think it's a few years old
let me checkk
whoops i dont have image perms haha
Obsidian was initially released on 30 March 2020. Version 1.0. 0 was released in October 2022.
from google
gotcha, i'll take a look at it
no offense but it just looks like evernotes to me 😆
LMAOO i actually never used evernotes before
is evernotes good
i can say obsidian is good in its use for me
screenshots + math mode in markdown + markdown tutorials
oh yea omg i remember it had latex
and i think it had code support too
like it had lots of support for many different types of formatting
i mean i used it for high school
like one high school course but i forgot lel
i should probably get the hang of using productivity software more
especially since i am planning on taking computer science for college 🥲
i'm on my last year of hs
that's good. no harm in using something different
nice
markdown has it so it does too
it also has RTL support for hebrew and arabic
ooo okay
yeah thats the courses i use it for rn
for math courses i use regular notebooks because latex is not doable
what type of math appears the most in comp sci?
im gonna guess discrete math

You need inverse of trigonometry+ calculus and some Quantum mechanics only
oooo okay
ok 😌
yay we're gonna discuss quantum mechanics in a few months

I'm a bio student btw 
duh
im in my 2nd semester rn, and it really depends on the courses you have
like i have in my freshman year 2 real analysis courses, 2 linear algebra courses, and 2 discrete math courses
and each have different topics like graph theory and combinatorics which require different symbols and drawings
this should be the standard freshman year math tho
ohhhh okk
omg good thing i took that discrete math elective last year 😭 🙏
can you send the syllabus?
okayy
wait i fear i might doxx myself if i do actually
because our syllabus is very different from other schools in my country
but for first quarter, we had modular arithmetic
send a screenshot cropped or something?
whats modular arithmatic?
i won't have the best explanation ever, but it's like dealing with equations/congruences as how my teacher put it, "like how a number line is wrapped around a clock"
so you can have stuff like x is congruent to 1 (mod 5)
do you still remember the proofs for those theorems? i mean theyre very hard to me
"is congruent to" is gonna be like that three lined equal sign
they didn't really discuss the proofs that muchh 😭 im sorry

so it's just normal arithmatic with mod?
yes
i see
and also things like 7^2023 is congruent to x (mod 7)
yes i understand
i'm still in hs so it's nowhere near university level math
did you have set theory also?
up to what topic?
like straight up venn diagrams
very nice
for graph theory we had like
did u have graph theory?
yepp
we had like
the different types of graphs
how to determine if it's an eulerian graph
or hamiltonian cycle
hakimi havel algorithm
idk if i spelled that right
eulerian graph? u mean eulerian path or eulerian cycle?
nope
i still think it's a hard topic
yess
especially in your case where u have to prove it
i'm scared for proving math LMAOO
did you also learn ramsey graph? this is our next week's topic
nope 😢
me too 😥
is that elective an "subject" class? like how physics and cs are electives in my country?
no it's actually completely optiional
we had those electives for 3 years for example
that specific one
i dont understand
when u say "class" what does it mean?
like a subject
schedule-wise
ohh
basically 2 hour discussion
and homework
like the schedule wise u go to a classroom for it
is it an after-school thing or inside the regular schedule like math?
after school
i think i get it
yeppp
we dont have those in my country
it's very cool, your syllabus seems pretty good as well
were there other electives?
like AI or other math ones?
elaborate
we had only basic physics and that was an elective that is a "subject"
they don't have those anymore tho in our previous grade level
they cahnged the electives
idk what they are now tho!
ohhh
do you know this one?
do you have a syllabus for either 1 of the 2?
so in your country's vocabulary, "elective" means "class/subject" for mine?
i don't have one sorry 😭
yes exactly, we only have to cover 5 points with elective(s), so u can choose just 1 as well
we had physics since 9th grade
it is a subject
mandatory up till 12th grade?
yess
ohhhh okay
u have a syllabus?
what lessons did you have in physics until 12th grade?
like up to what topic did u study physics
in hs
we had kinematics, dynamics, circular motion, gravity (newton's formula and stuff), electricity (electric circuits and stuff) + experiments in class
thats the broad stuff of the topics i remember
ahhhh i see
electricity had electric forces and electric fields too and other stuff like that
yeah our syllabus is just that along with fluid dynamics, zeroth and first law of thermodynamics, quantum mechanics, and relativity
very impresive, how do you quantum mechanics exactly?
this seems more advanced than our regular topics
we have yet to discuss quantum mechanics tho 😭
in 2 months
yep
which languages u use?
do u have a syllabus for it?
it's just super basic concepts like if else, loops, recursion, object oriented programming concepts
this year we're more focused on stuff like big o notation and space/time efficiency of code
also if u dont mind, i gtg now! 😭
u say that but we are still doing this
it's almost 4 am here LMAO
ahhh so this is the syllabus for the college as well?
for our software 1 course it's basics of java + OOP concepts + design patterns (very few learned so far)
and it's a 2nd semester course
ooo okay
we did basics of python + OOP for the intro to cs course (also we learned some algorithms and data structures like hash maps and CYK algo)
compared to urs since u are a university student ours is super super basic!
we didnt even have hash maps and cyk algo yet
i kind of doubt that
actually we won't be discussing it in hs
like it's not a part of the curricullum
like we straight up won't learn that
yeah we didnt either in mine
but i think thats not that big of a thing compared to your subject
very impressive school you have
go to sleep now mate
goodnight
thank you!! <33
i'm honored that i could talk to someone who's actually pursuing computer science in uni haha
thanks a lot for the talk!
i willl
if u ever need help with something like the AVL trees data structure for example i might be able to give you some resources or tips
although courses could be different and all
thank you sm😭 ❤️
but if u need help you can try asking if i have resources
yess
got it!
Hello, does somebody has done A-Level Math and Economy? and has studied Economy?
I really would like ask some questions
Anyone know how to apply for college? I've always been super independent and moved out after highschool; always doing stuff by myself, so im not really sure on how to start the process.
Normally I would imagine the process being easy if you already had an idea of going to a college and having a councilor take care of things on that end(in highschool), but that isnt my case
i did economy in sophmore year and i am senior i might have forgetten everything i learned in that class
and what do you mean by A-level math?
(answered in #discussion)
I'm majoring in economics, currently in my sophomore year.
Hope I can answer any of your questions.
But what if it is 6/7 divided by 8
6/7 / 8 can I reciprocal 8
8 / 6/7 where 6/7 is a fraction you reciprocal 6/7 beocmig 8 x 7/6
What do it is 6/7 / 8 where 6/7 is a fraction
Can I take reciprocal of 8
Becoming 6/7 x 1/8
why not use parenthesis?
What would th ag do
make easier to calculate
(6/7) / 8
I take reciprocal (7/6) x 8
If it is 8 / (5/7) can I reciprocal 8
(6/7) / 8 = (6/7) * (1/ 8)
8/ (5/7) = (8/1) / (5/7) = (8/1) * (7/5)
When fraction is dividend then you do not take the reciprocal?
Divisor*
Then you do
(6/7) / 8 = (6/7) / (8/1) = (6/7) *(1/ 8 )
yeah. or you can think of divisor fraction too, and follow up with "reciprocaling the divisor"
Ok cool thank you
is a shape where every point is at a different distance from its center possible?
if not, why
point meaning on its perimeter or within the object itself?
when you say shape does that mean like a 3D object or could it be something like a polygon, or anything
Are there any learning source recommendation for learning logical equivalences?
hmm lets say 2d shape
and by point I mean in its perimeter
I'm thinking it won't be possible by intermediate value theorem
damn, ivt is really everywhere
we gave it some emphasis in my calc I class but ive seen it so many proofs from different fields
Like a spiral?
the ivt works so well here that it guarantees that there are at most two points on such a curve that don’t have another point which is the same distance from the center, and also that you can replace “center” with “any point”
hello, does anyone know any online platform where i can slve any math problems instantly??
Wow i really want that too
there are many
I am making with my mates a code through python to plot a straight line graph. Any recommendations.
import turtle
import math
def graph():
# import package and making objects
sc=turtle.Screen()
trtl=turtle.Turtle()
# method to draw y-axis lines
def drawy(val):
# line
trtl.forward(300)
# set position
trtl.up()
trtl.setpos(val,300)
trtl.down()
# another line
trtl.backward(300)
# set position again
trtl.up()
trtl.setpos(val+10,0)
trtl.down()
# method to draw y-axis lines
def drawx(val):
# line
trtl.forward(300)
# set position
trtl.up()
trtl.setpos(300,val)
trtl.down()
# another line
trtl.backward(300)
# set position again
trtl.up()
trtl.setpos(0,val+10)
trtl.down()
# method to label the graph grid
def lab():
# set position
trtl.penup()
trtl.setpos(155,155)
trtl.pendown()
# write 0
trtl.write(0,font=("Verdana", 12, "bold"))
# set position again
trtl.penup()
trtl.setpos(290,155)
trtl.pendown()
# write x
trtl.write("x",font=("Verdana", 12, "bold"))
# set position again
trtl.penup()
trtl.setpos(155,290)
trtl.pendown()
# write y
trtl.write("y",font=("Verdana", 12, "bold"))
straight_line_graphs()
Main Section
# set screen
sc.setup(800,800)
# set turtle features
trtl.speed(100)
trtl.left(90)
trtl.color('lightgreen')
# y lines
for i in range(30):
drawy(10*(i+1))
# set position for x lines
trtl.right(90)
trtl.up()
trtl.setpos(0,0)
trtl.down()
# x lines
for i in range(30):
drawx(10*(i+1))
# axis
trtl.color('green')
# set position for x axis
trtl.up()
trtl.setpos(0,150)
trtl.down()
# x-axis
trtl.forward(300)
# set position for y axis
trtl.left(90)
trtl.up()
trtl.setpos(150,0)
trtl.down()
# y-axis
trtl.forward(300)
# labeling
lab()
# hide the turtle
trtl.hideturtle()
def straight_line_graphs():
print("Straight Line graphs")
print("")
print("")
print("Equations are in the form: y = mx + c")
print("What is M?")
m = int(input(""))
print("")
print("What does C equals? ")
c = int(input())
t = int((1/m)*300 )
angle = math.degrees(math.atan(m))
the gradient works but the y - intercept still needs work
print("Angle is ",angle)
graph()
turtle.speed(0)
turtle.down()
C = int((1/m *300) - (math.sqrt(45000)/2) + (7.07*c))
turtle.forward(C)
for i in range(t):
turtle.forward(1)
turtle.left(90)
turtle.forward(m)
turtle.right(90)
Sorry a lot of lines
personally I'm not a fan of turtle graphics, there's probably a better way imo
I tried to fix it with ChatGPT, our code came out closer to the intended criteria. Thought this was the next best place. I am in no considerable rush. Just want to add it to our 1200 line calculator. We made in our free time / during computer science class (GCSE)
That’s manim and it’s completely different
right
i see u guys are doing it from scratch
I agree with Merosity; turtle is generally a bit of drag, so if you don't want to have to deal with all of its limitations, I'd recommend the pygame library or something similar (PIL could also be an option but it isn't realtime.) Of course, if you want to do this totally from scratch that isn't an option
challenge: do it without libraries (only standard lib)
even harder challenge: make it perform reasonably fast in Python (again, no dependencies like numpy)
Awesome, probably will stay “from scratch”
Tbh I will probably be back. Thanks for the suggestions tho. May make a vote with my mates who are doing this with me. To see if we will take shortcuts
You could upload this text as a file to prevent flooding the chat
Sorry, I will make sure to place in a file next time. Appreciate the feedback
such is the life of discussy
Lol
yeh good idea to do files/snippets
but considering the usual signal to noise ratio of discussy channels
People with these hobbies are the main character: math, writing, coding and anything else having to do with logic science
If you have a cat that adds even more main character energy
You have a cat tabminecrafter?
Yeeeeeesssssss
Why not use ChatGPT for math help
you can't trust it to give you correct info
So yeah dont use it
One way to view the mathematics of
the 19th and 20th centuries is as a stalwart attempt to move this line further
and further back toward some unshakable foundation. The majority of the
material covered in this book is attributable to the mathematicians working in
the early and middle parts of the 1800s. Augustin Louis Cauchy (1789–1857),
Bernhard Bolzano (1781–1848), Niels Henrik Abel (1802–1829), Peter Lejeune
Dirichlet, Karl Weierstrass (1815–1897), and Bernhard Riemann (1826–1866)all
f
igure prominently in the discovery of the theorems that follow. But here is the
interesting point. Nearly all of this work was done using intuitive assumptions
about the nature of R quite similar to our own informal understanding at this
point. Eventually, enough scrutiny was directed at the detailed structure of R
so that, in the 1870s, a handful of ways to rigorously construct R from Q were
proposed.
Following this historical model, our own rigorous construction of R from Q
is postponed until Section 8.6. By this point, the need for such a construction
will be more justified and easier to appreciate.
from Understanding Analysis, Abbott
Ok
Did not work. I did try
Noooo
!nogpt
Please do not trust ChatGPT or similar AI tools for mathematical tasks, as they often generate output which "sounds correct" but has numerous factual or logical errors. Use of these AI tools to answer other people's help questions is strictly against server rules (see #rules).
a
basically because LLMs are statistical models that generate output that "sounds good" rather than "is correct", even if successive versions of these models may try to amend that by fine-tuning or using larger context windows or whatever. It's not unusual for them to output nonsense and if you don't have the knowledge or aren't willing to fact-check the output it may be hard to tell whether the output is sound at all. Read textbooks and ask people about math
expecting a language model to do logical reasoning is kinda like the allegory of judging a fish by its ability to climb a tree, lol
as the name suggests they're great for tasks that mainly involve language skills, like writing an e-mail or summarizing an article or etc
Also, they'll hallucinate papers and definitions that "sound" right. I asked it to explain Ricci curvature once, and the output was hilarious.
yeah this is definitely a common thing lol
I've read plenty of people asking for e.g. book recommendations and it'll straight up hallucinate authors and titles
the point is that whatever GPT has done well, it has borrowed unknowingly from some online source
these sources are written by humans of course
so if GPT does it well, a human will also do it well
if GPT does it poorly, a human will do better
a knowledgeable human 
machine learning is very good at producing natural language (that's why it's called NLP = natural language processing)
not very good at communicating actual meaning and understanding
to someone who is really confused, unless they've borrowed the words from some human
Idk, I haven't seen a human willing to summarize a 200 page mathematics textbook entirely in pirate speech without using the letter "w"
c.f dead internet theory
really depends on the topic, i find that up to high school level it's pretty good, even maybe 1st or 2nd year undergrad, but you should definitely fact check
yeah like that's the point where the maths resources online start to dwindle
where the knowledge starts to be concentrated in books and other materials not accessible to web crawlers (in uni pages for instance, Canvas etc)
like it has definitely helped everyone at high school level for sure by now, GPT 3.0 was shit but 3.5 and 4.0 are impressive
it's hard to generalise
we have such a wide range of maths abilities on this server
in strong induction, we have to prove the starting point and then assume that everything from the starting point to k holds true?
Yes, and prove k + 1 with it
hhey
So uh
Reu application season is most certainly starting up, and I was wondering where I should go in here to talk to smbody abt like
idk where should I apply given how good/bad I am.
or like their experiences if they got one
or like what kinda resume people who didnt get one had.
if thats just like not what this discord is for thats chill too (I'm kinda new here), I'm just stressing abt it and thought to post stuff here
There's a graduate applications chat under advanced mathematics.
REU chat doesn't go in the graduate applications chat
(I had a feeling it may just not belong in this discord lmao)
o good point yea
I'm not a finitist, but it seems to me that we don't really use the real numbers in a practical sense. We just say they exist and do all arithmetic as if using a finite subset of the rational numbers. We kind of just use the numbers like pi and sqrt(2) as intermediate numbers until we get to a final practical answer rounded off to a few decimal points if we need to use the number for some physical reason.
Yes
real numbers are not real
are there any numbers that are not complex but exist?
?
depends on what you mean by number
Lots of numbers that exist are not complex
various p-adic numbers certainly fit the bill here
1 for example
Oh like 999999....+1 = 0?
1 is a complex number lol
not really no
o
1 + 0i
p-adic numbers are similar to real numbers but using a different kind of distance between rational numbers
...9999 is a way to write -1 in the 10-adics, just pointing out this is just an example where you get more representations for rational numbers depending on where you end up
wat
do you know how the real numbers are constructed from the rational numbers in the first place?
in terms of convergent sequences?
sure but more importantly for sequences of rational numbers which converge to general real numbers
there's a general formula?
I mean the silly thing you can do is like, take a decimal expansion of any real number
and then there is an obvious sequence of rationals converging to that real number
by just truncating the decimal expansion
o
e.g. the sequence 1, 1.4, 1.41, 1.414, ... \sqrt{2}=1.41421356237...
yeah
I would still prefer if its geometric though
or arithmetic
Actually it cant be geometric
Unless it is finite or constant cuz otherwise it tends to 0
the point is that you get all the real numbers by adjoining to the rationals all of these convergent sequences of rationals
well to define what it means for a sequence of rationsl to be convergent you need some notion of "distance"
Epsilon time yay
if you use the usual distance d(x,y)=|x-y| (the absolute value of the difference of two rationals) then you end up with the reals
but there are other absolute values and notions of distance for rationals
if you do the same construction with the p-adic absolute value instead, you get the p-adic numbers
so you can talk about expressions like these which do not converge in the reals but which do converge in the p-adics for various primes p
I would still consider these to be numbers but they are completely different from real/complex numbers to answer your question
This reminds me of floating point binary
there is some relation when you're working with 2-adic numbers yeah
0.0011001100110011... base 2 is also 1/5 i believe
right the main difference is whether you're looking at negative powers of p versus positive powers of p
Wait, what is the 2-adic number for 1/5
Is it anything to do with two's complement by any chance
you could use some tricks like that to help get an expression for it I guess
1/5 = 1/(1+4) = 1-4+4^2-4^3+... you'd not get a clean "digit" representation without working out how to deal with the -1 in there from that I guess
one nice fact is that a number is rational iff it has an eventually periodic p-adic expansion
similar to how rationals have eventually periodic decimal expansions
in the base p expansion you go off to the right forever, in the p-adic expansion you go off to the left forever
1/5 = (1-4)/(1-16) = (1-4)(1+16+16^2+16^3+...) as another silly trick, or really just start working out the division 1/5 would be direct rather than trying to find some trick lol
Average number theory enjoyer be like
Because of carrying digits an infinite number of times?
real moment
well I mean what is happening is that in the usual absolute value the sequence p^0, p^{-1}, p^{-2}, ... goes to 0 whereas in the p-adic absolute value the sequence p^0, p^1, p^2, ... goes to 0
Q_p my beloved
p-adically close to 0 means highly divisible by p
you have lost me now since my only knowledge of p-adic numbers comes from watching 3 minutes of a veritasium video
that's more than most people have heard about them 
It just seems so counterintuitive
they are strange when you first encounter them yeah
That a number that seems infinite can be negative
and they take a while to get used to working with since they behave quite differently from the reals
so one main motivation is if you're trying to solve Diophantine equations (i.e. find rational solutions to systems of polynomial equations) which is like, one of the historically oldest kinds of questions in math
if you have some system of polynomial equations with rational coefficients, you notice that if this has no solutions over the reals then it certainly can't have any solutions over the rationals (since the rationals include into the reals)
likewise if this has no solutions over the p-adics then it certainly can't have any solutions over the rationals
Can this include variables as being the exponents themselves
there are ways you can generalize these kinds of problems and the sorts of equations you're allowed to consider but it's easiest to just consider polynomials
(p-adic exponential functions are kinda strange, that's one reason to be cautious here)
~~ng are you indoctrinating the poor pre-uni's into number theory 😭 ~~
yes 
Geometry is one of my least favourite areas surprisingly
anyways the nice use is that sometimes you can go the other way: for some systems of polynomial equations if you have a solution over the reals and a solution over the p-adics for every prime p, then you have a rational solution
although thats overgeneralisation
A
these are "local to global" theorems
this doesn't always work and it's interesting to try to understand when these local to global theorems fail
😭 number theory is one that we have a very struggle-hate relationship with
for example 3x^3+4y^3+5z^3=0 has nontrivial real and p-adic solutions but no nontrivial rational solutions
I have heard of analysis having a similar reputation
I'd rather deal with global and local coordinate bullshit
so all solutions are irrational?
Infinite number of solutions??
iirc there are infinitely many over the reals and over the p-adics for every prime p
but no nontrivial rational solutions
how do you even find any solutions to stuff like this (like what's the general solution development, if there is one)
Nontrivial as in hard to work out or nontrivial as in don't exist
nontrivial just means different from the trivial solution (x,y,z)=(0,0,0)
ok
that is a rational solution but it's not a very interesting one, the claim is that this is the only solution
well you have a lot more tools and flexibility when working over local fields like the reals or p-adics
in this case you're dealing with an elliptic curve and you can use various analytic uniformizations over local fields
ahh okay
elliptic curves as in the same things used in ECC?
yes
huh
they are pretty fundamental objects in algebraic/arithmetic geometry
you lost me in the bit after elliptic curve 💀
yeah
I'm familiar with them in algebraic geometry to a small degree but how do they show up in arith geo? (I'm very unfamiliar of the field itself)
well they show up in arithmetic geometry simply because they are one of the simplest interesting kind of curve over a field you can study
there are loads of big theorems and conjectures in number theory about them
BSD is one such conjecture, with is one of the millennium problems
Wiles' proof of FLT uses elliptic curves and their relation to modular forms
that's another historically famous application to number theory
they show up in cryptography with ECC since they give some nice generalizations of the discrete logarithm problem
yeah I was thinking about bringing that up few mins ago but I didn't know whether that was more alg or arith geo
I'd say it's more arithmetic geometry but the line between arithmetic and algebraic geometry can be pretty blurry
I can barely comprehend the statement of this one 😭
For all the others (except Riemann hypothesis and BSD) I at-least know their statements
the way to think about BSD is it's a generalization of the analytic class number formula
if you have a number field F you can look at the Dedekind zeta function \zeta_F(s) (which is the Riemann zeta function for F=Q) and this has a simple pole at s=1
you can ask about the residue of \zeta_F(s) at s=1
ah okay
the analytic class number formula relates this residue to a bunch of quantities related to the arithmetic of your number field F
things like the discriminant of F, the number of roots of unity in F, the regulator of F, and (most interestingly) the class number of F (which measures the failure of unique factorization in the ring of integers of F)
I'm genuinely still very surprised at how much number theory draws on complex analysis
by a similar token, if you have an elliptic curve E over a number field F, you can look at the L-function L(s,E), and BSD is about the behavior of this function at s=1
and again its behavior should be intimately related to the arithmetic of E
Doesn't nG do both geometry and number theory
(we know very little CA so we could be wrong here) but at a pole wouldn't it be analogous to the function going off to infinity?
like isn't this why we need residue theory? /genq
for example, your elliptic curve should have only finitely many F-rational points if L(1,E) is nonzero, and infinitely many otherwise
My bf is doing arithmetic geometry recently and I can tell it's probably nG's influence


essentially yes, a pole of order n at 0 will locally look like 1/z^n
okay
Number theory is a love-hate relationship
you can have essential singularities like 1/e^z which aren't poles but still go off to infinity
there are very very general conjectures about special values of L-functions attached to algebraic varieties defined over number fields in general
but these are extremely open seeing as the case of elliptic curves is already very open
Simply be better
this is one of the bigger themes in arithmetic geometry though, namely how analytic information involving L-functions is related to arithmetic information involving Diophantine equations
it's kind of a miracle that these should be related but that's how arithmetic is
we need to read into this soon, we're slowly working through learning about how laurent series work rn
Complex analysis to algebraic geometry pipeline
yeah in terms of Laurent series it's just saying that you don't go off infinitely far into negative powers of z
Frankly, we feel kinda sad that we never could really "appreciate" a lot of theorems in number theory, even like, basic ones just felt like "eh cool it works"
but for geometry or analysis or even group theory everything has always seemed like "whoa that's so cool omg"
I do feel like it's hard to appreciate these things without algebraic geometry
This was me too
I appreciate them more now with algebraic number theory
like even basic geometric theorems like stokes' theorem or gauss bonet or whatever, they just
click
yeah algebraic number theory helps a lot too
I like arithmetic geometry a lot precisely because it lets you think about these arithmetic problems in geometric terms, which is usually much more intuitive
Our professor went over some stuff with divisibility and chinese remainder theorem and whatnot and they just felt like "eh ok"
if that makes sense
yeah after we saw the ring theory version it was like "okay wow that's actually kinda cool"
but we're very scared we're "missing something" but being so averse to (elementary) number theory in it's "pure" form
a lot of the theorems about the arithmetic of curves over number fields are pretty surprising I think
With arithmetic geometry they present to you complicated tangent line formulation that feels like it came out of nowhere and it just makes you feel like "why do u do that" and with analytic number theory, as you go further it's just a matter of who has the most exotic result which has loglogloglogloglogloglog
We really don't want to rush everything and slam into the highschooler/undergrad category theory-esque memey person
if that makes sense
e.g. if you have a (smooth projective) curve X of genus g over a number field F then
X(F) is infinite if g=0
X(F) is a finitely generated Abelian group (finite or infinite) if g=1
X(F) is finite if g>1
yeah we can't stand either of these tbh
wild that the genus controls the number of solutions like this
I do understand it's mainly because I have a distorted picture of what is geometry really and the fact that Hartshorne is just dry af to go through
hartshorne 
yeah Hartshorne is kind of painful to get through
what are the more "geometric" aspects of algebraic geometry?
Me thinks algebraic number theory is more well motivated if that makes sense
I mean is there stuff with co/homology, manifolds, topological spaces, complex manifolds etc...?
anything having to do with varieties over the complex numbers tends to be much more geometric in flavor
or is that all diff geo
there is a big overlap!
drawing a line where you fix points (2),(3),(5),... then convince people this is geometry
like one of the main tools we have for studying complex algebraic varieties is Hodge theory, which is mainly about what extra structure you have on cohomology when you have a complex variety as opposed to some more general smooth manifold
Varieties are more intuitive tho
yeah we want to see stuff that's like, not too much in one or the other ig, if that makes sense, like pure diff geo, at-least if what we've seen, seems like manipulating subscripts of subscripts and the algebra sides seems like category 
Real
Yeah we've looked into that a (tiny) but and it seems very interesting
yeah Hodge theory is very interesting
also not to take too much time but is there an ELI(early)undergrad of what the fuck a motive is?
Enumerative geometry is interesting
it does interact with arithmetic too since e.g. if you have a variety X over Q then you can talk about the complex variety X(C) and study its Hodge theory
Nobody knows wtf is a motive
and then the Hodge theory will see things about the arithmetic of X over Q
short answer is that motives encode all the information about the cohomology of algebraic varieties
this reminds me a lot of groupoids and fundamental groups from point set/alg top
we believe there are these small building blocks called motives that encode a lot of information
what are they tho can u define them
idk
I mean you can definitely define them without issue it's just you run into very hard conjectures if you want to show that this definition has all the right properties
there is a much more down to earth definition in terms of realizations but again you need conjectures to show that this sees the same information as honest motives
So the issue is coming up with a definition that agrees with a lot of properties?
I don't think there can be some definition which skips these conjectures
@vivid halo are you familiar with the connection between motivic galois theory and QFT?
the point with motives is like, you want some universal cohomology theory for varieties, so some "source" for cohomology classes in any cohomology theory for varieties (specifically Weil cohomology theories, these are those which behave like ordinary cohomology does for spaces)
One universal source for cohomology classes is algebraic cycles, since you can produce a cycle class in any Weil cohomology theory
yes very
if you define the theory from the ground up in terms of algebraic cycles, then you just run up against the fact that we don't know very much about algebraic cycles
also ng, how do you like...even begin learning this stuff; we're currently slowly working ourselves through real analysis and abstract algebra and istg the distance from "here" to even basic algebraic topology feels like a million years away
istg we feel like we'll be 30-40 by the time we get even that far 
I mean it takes a while to get up there and you don't learn it all at once, it takes many passes
(yes we could take courses at uni but the reason we're not rn is due to family and other stuff, planning on doing another B.S in maths after moving out and using our CS degree to first get a job :P)
also for what it's worth I only started to learn motivic stuff at the start of PhD or whatever
just...self image of being in our mid-late 20s sitting in an intro RA class scares us somehow
nothing wrong with that!
Is this part of your research?
it's closely related yes
I don't do so much stuff with amplitudes/cosmic Galois specifically but I do loads of stuff about motivic periods/motivic Galois in general
are axioms purely assumptions
Interesting! What background should one have before doing a deeper dive?
Is it all heavy on the QFT
not so much actually, it's much closer to stuff one does in Hodge theory
I guess one has to know a bit of QFT to produce the amplitudes that physicists are interested in computing in the first place
but you can study these things with amplitudes/cosmic Galois with almost zero physics background in a lot of ways
the main background you need is familiarity with algebraic geometry/algebraic topology (say at the level of Hartshorne and Hatcher respectively) and Hodge theory (read volume 1 of Voisin for pure Hodge theory, and Peters-Steenbrink for mixed Hodge theory)
Hmmmm. I am hesitant to take our grad galois theory + modules course, but my professor cited this "motivic galois theory + QFT" as a good motivation for me to still take it
yeah the motivic Galois stuff goes beyond the usual Galois theory but the two are related
yeah, true, I think the first thing we really need to do is figure out therapy and mental health stuff after moving out, that'd make SO much stuff at-least more...bearable
I imagine so. But I know zero Galois theory haha
the main point of Galois theory is to study Galois groups acting by symmetries on algebraic numbers
but the usual Galois theory doesn't give you any interesting Galois action on numbers like \pi or \zeta(3) or whatever
that is what the motivic Galois group does
Very interesting. Any papers for someone in Hodge theory with some Galois background who'd want to read QFT applications?
Ahh cool cool!
Francis Brown is the main person who has written a lot about this stuff
this is a nice survey
he also has some recorded lectures about this and all of his lectures are fantastic
Excellent! Thank you. Some weekend reading 🙂
for some more recent work in this area look up "modular graph functions"
In earlier work we studied features of non-holomorphic modular functions associated with Feynman graphs for a conformal scalar field theory on a two-dimensional torus with zero external momenta at all vertices. Such functions, which we will refer to as modular graph functions, arise, for example, in the low energy expansion of genus-one Type II ...
It's so interesting how QFT, despite being mathematically problematic, inspires a lot of interesting math developments
these are functions which appear e.g. in genus 1 type II superstring aplitudes and people have been studying them in great detail lately
I just got witten's monograph on superstrings haha
yeah it is really funny that there are both number theorists and physicists thinking about these things but they write about them very differently
and it does seem that the physicists have way more patience for cranking out huge computations in this area
when an author sends you 3000 lines of mathematica output for these integrals
In my humble opinion (having only taken one course in math qft), the (mathematical) richness of QFT often can come from the areas where it lacks mathematical rigor, like path integrals
yeah I feel that
For real. They do this with differential geometry and algebraic topology, too. It's always a different name than what we call it.
there is some amount of this kind of Hodge theory that has a lot to do with conformal field theory/Chern Simons theory
and I've found it very difficult to read and learn about this stuff
I've encountered that before--just not the Galois applications.
If you want a good reference, Lectures on Quantum Chromodynamics by Smilga is good for intro Chern Simons and Hodge applications in QCD.
yeah I've been confused about Chern Simons invariants of 3-manifolds lately oog
very badly need to understand this story
The proof of Index Theorem on spin manifolds by using path integrals for some action involving Dirac Operators on the loop space is genius
yeah a lot of my problem has just been that physicists write in a way that is very confusing to me
Not sure if this helps, but here's a lecture series I used to learn a bit: https://www.physics.rutgers.edu/~gmoore/TASI-ChernSimons-StudentNotes.pdf
Yes, like Einstein notation getting rid of summands.
I don't mind Einstein notation so much
my main issue is that physicists tend to write fast and loose about mathematical details and it's hard to follow if you don't share intuition with the physicists
Agreed. The differential forms leave a lot to be desired sometimes.
My main issue can be lack of definitions
one of the great gifts that physicists have is being able to reason accurately about things like path integrals without complete mathematical rigor
Most details are assumed.
but that kind of intuition takes a while to develop
Or add ghost particles and anti-ghost particles so that fields obey math.
This is why I chose math over physics...
I remember meeting with a really good Gromov Witten theory prof about this kind of stuff and it was strange like
I would write down some path integral and he'd be like "oh yeah that looks renormalizable" and I'd be like "what makes you say that" and he'd be like "it just... looks that way"
Yup. Very strange how things disappear or randomly appear for convenience.
I remember getting stuck in a physical chemistry course where certain forces just didn't show up in molecular calculations (because they were "trivial").
if you have a strong background in Hodge theory you should try reading Goncharov's "Hodge correlators" paper
very underappreciated mostly because the paper is written like shit but the ideas are insanely deep
I remember reading this post about how a mathematician was "tired" of relying on Witten's/other Physicists intuitions to come up with new conjectures/outlines of proofs, so he tried attending talks/lectures from Witten. He thought that math shouldn't need Physicist's input/conjecture. He left those conferences saying that mathematicians will still be relying on Witten-like intuition for a while
Loving the graph connections in the papers you suggested. Very much my realm.
but the upshot is that there seems to be some TCFT which governs mixed Hodge theory, whose correlators reproduce loads of well-known motivic periods
Goncharov's paper defines these at tree level and last year some other authors extended the setup to 1-loop correlators as well
it's not so clear what these things at higher loop order mean
Honestly, I think most mathematics connects within the physical world. There are some deep group theory properties in protein synthesis from DNA triplets.
Goncharov has done a lot of really good work around polylogarithms (which play a huge role in this motivic Galois/QFT story) and the best theorems about these so far have come out of these correlators
I feel like there should be a bell curve meme for "Physics = Math" sometimes 😂
one of the main open problems around this is trying to systematically understand the functional equations satisfied by polylogarithms, which we only fully understand in low degree
the correlators give the cleanest understanding of this so far
in a slightly different note, hodge theory seems really cool
yeah it's incredibly cool
isn't there also like a conjecture based on hodge's work?
oh wait that's a millenium prize problem
yes that is another millennium problem!
very slow!
and is there a survey article of recent work on it?
Sounds a lot like some of what I'm looking at with locally recoverable codes (great on curves, not so much surfaces yet).
(one of our friends was asking about it a few months back)
it's an insanely hard problem about algebraic cycles and it's closely related to the main cojnectures that obstruct motives from being defined unconditionally
It is, and it's being used a lot in applications/machine learning to understand biology and social systems.
:o
it's hard because you're asked to start with some cohomomology class and then pluck some algebraic cycle out of thin air
Are there any...I guess accessible (as possible) papers for this stuff from the CS perspective?
this is insanely hard to do, algebraic cycles are incredibly rigid and we know almost nothing about creating cycles like this
I'd suggest looking up Hodge-Helmholtz decompositions and Hodge Laplacians. It's a decent way to familiarize yourself with terms within a context of computer science applications.
Twistors show up too?
A lot of Hodge theory is being used to study graphs and simplicial complexes these days.
yeah Goncharov's setup uses twistor connections in a very crucial way
I was just about to mention that a lot of this stuff seems very related to graph theory
the Hodge Correlators paper is probably what taught me the most about the twistor approach to Hodge theory
Very relevant to graph neural networks and topological deep learning, too.
also I hope that my inexperience in this stuff isn't detracting y'all too much :)
I skimmed up to where they brought up the feynman PI, incredibly cool
Michael Schaub's group has a lot of signal processing on graphs through the lens of Hodge theory.
I love helping students and early career folks.
the main body of the paper defines these Hodge correlators in terms of some "Hodge correlator twistor connection" and then most of the upshot is that loads of fundamental features of the mixed Hodge theory story become much more transparent with this twistor language
one very cool upshot is like, the failure of the weight filtration on a mixed Hodge structure to split is exactly the failure of the twistor connection to be flat
Half the time I feel like I'm too inexperienced (calc 1-3, computational and some abstract linear algebra) for most of this server yet a lot of this stuff genuinely seems very interesting and so we want to learn more and eventually understand it :)
so the interesting mixed information is curvature information
It's never too early.
I remember something about solutions to some field equations are in bijection to some cohomology classes via some twistor transform
Very cool. Assuming Gaussian/Ricci sort or torsion-related?
I just mean the curvature for a vector bundle with connection
I've had high school students in my publishing group before.
like if you have a connection \nabla:E->E\otimes\Omega^1 then the curvature is \nabla^2:E->E\otimes\Omega^2
I guess the sequel Hodge Correlators II is what explains more of the TCFT going on in the background
uses a lot of Kontsevich type dg/super scheme deformation theory nonsense lol
I wonder if this will ever tough ground with CondMat.
idk if it's so directly related to physics
this is more a case of physics influencing number theory rather than the other way around
Sure sure.
very much in the same realm of ideas where Langlands people have started to bring in ideas from TQFT and whatever
How rare is it to have this level of mastery over the math & the physics? I.e. don't have to depend on one or the other for math-phys research?
it's rare to be an actual master in both areas for sure
that said you definitely don't need to be a master in both areas to contribute to this area of research
most of the recent papers around these kinds of motivic period/amplitude computations have a mix of physics and math people with various strengths
my experience talking to most of the people working in this area is that they have a very healthy mix of background in Hodge theory/arithmetic geometry and the physics that motivates this
whereas I completely specialized into Hodge theory/arithmetic geometry
a lot of the gaps in this area of research are that there are a lot of computations (relevant to physics or otherwise) where the motivic interpretation is not so clear
I actually really like this. Idk if this is the standard, but I have seen a lot of math-phys groups that are just mathematicians with no/little background in physics where the "physics" is just a loose motivation
yeah the papers are a good mix of both too
what exactly is hodge theory?
it mainly has to do with studying the additional structure on the cohomology of things like compact Kahler manifolds/smooth proper complex algebraic varieties as opposed to more general smooth manifolds
a basic consequence is that the first Betti number of compact Kahler manifolds/smooth proper complex algebraic varieties is even which is certainly not true for general smooth manifolds
The reason is that in such a situation you can decompose H^1 into two pieces H^{1,0} and H^{0,1} spanned by holomorphic/anti-holomorphic 1-forms, and Hodge symmetry says they have the same dimension hence dim H^1=dim H^{1,0}+dim H^{0,1}=2dim H^{1,0} is even
this is already a nontrivial topological obstruction to being a compact Kahler manifold/smooth proper complex algebraic variety
mixed Hodge theory is the more general story you get when you remove the adjectives "smooth proper" or "compact manifold" in general you can ask these sorts of questions about not necessarily smooth not necessarily proper things
very interesting
yeah it's a neat and very classical topic in AG/AT
one of the main themes in Hodge theory is studying period integrals and how they vary in families
like say you have an elliptic curve E (that is a complex torus of complex dimension 1/real dimension 2)
H_1(E) is 2-dimensional, generated by the homology classes of two loops \alpha,\beta
H^1_dR(E) is 2-dimensional, generated by the cohomology classes of the (anti)-holomorphic 1-forms dz and d\bar{z} once you identify E with C/L where L is a lattice in C
this gives you a 2x2 matrix of integrals of {dz, d\bar{z}} along {\alpha,\beta}
now if you have a family of elliptic curves E(t) you can ask how this 2x2 period matrix varies with t
the entries will satisfy some system of differential equations, in this case it's a classical hypergeometric equation fo 2F1
you can ask more generally if you have some family of complex algebraic varieties what kinds of differential equations describe how their period integrals vary
very classical, very deep
and how much progress has been made for such questions?
loads of progress but many things are open
for example the Hodge conjecture is one of the millennium problems and it's hopelessly open
Hodge conjecture: Let X be a non-singular complex projective manifold. Then every Hodge class on X is a linear combination with rational coefficients of the cohomology classes of complex subvarieties of X.
this is hard because you're given some Hodge class (some cohomology class of X satisfying some Hodge theoretic properties) and asked to produce some subvariety realizing this class
it's similar to how cohomology classes for smooth manifolds are realized by submanifolds
but the complex analytic setting is much more rigid and it's hard to pluck subvarieties like this out of the air
nG is there a way to get better at math(in general) provided like you do sufficient hardwork? what I mean by this is like how one can improve their coding/problem sloving skills by having a project is there something similar for math?
there are certainly lots of "standard" exercises one can do in various areas of mathematics which will help one get better
broadly speaking it's much easier to get better by studying parts of mathematics you are naturally drawn towards and get obsessed by
one of the big lessons from my PhD is that it's very hard to make progress studying and working on something you aren't honestly interested in, but maybe the things that you are so interested in that they keep you up at night through curiosity come more naturally
what are those "standard" exercises (like what should I refer for that) also I don't know which part of math I find to be drawn towards as they all sound cool as I'm just scartching the surface
for most topics there tend to be "standard" textbooks and those tend to contain "standard" exercises
I don't know which part of math I find to be drawn towards as they all sound cool as I'm just scartching the surface
this is a common experience!
honestly this just takes a lot of reading textbooks/articles and paying attention to which topics capture your imagination
like Rudin for RA,H&K/FIS for LA etc?
yeah
it's not something you settle on overnight but you can certainly take note while reading of which topics just vibe better with you
it's also not something you have to decide on once and for all, people's mathematical interests tend to migrate over time depending on exposure
thank you very much
also nG do you mind if I friend request you?
go ahead!
You definitely don't need to be drawn towards a specific part of math atm
If you're an undergraduate, it's very healthy to keep your mind open to many different areas of math
Is there a reason to expect this to be true 
There are many reasons yes
Although it is one of those conjectures where there is some general philosophy that makes it believable but if you sit down to try and verify various cases it can become increasingly hard to believe
It’s worth comparing the Hodge conjecture to the Tate conjecture and the implications of each of these towards the standard conjectures on algebraic cycles
Both are known in small handfuls of situations
So there's no single heuristic for it?
I wouldn’t say that
looking around, I also kept hearing mention of the tate conjecture and whatever the heck this is https://en.wikipedia.org/wiki/Nonabelian_Hodge_correspondence
Yes the Tate conjecture is morally the same as the Hodge conjecture
They are the same conjecture but about two different cohomology theories
nod
And yeah non Abelian Hodge is neat
Why does the statement of the tate conjecture involve galois stuff while the hodge conjecture (at-least on the surface) doesn't?
Well because Tate is about l-adic cohomology and this carries a Galois action
mmm yes i love hitchin equations
Hodge is about singular/de Rham cohomology
Both conjectures are about classes of algebraic cycles
ahhhh okay
would the proof or disproof of one or the other pave a path for the proof or disproof of the other?
oh yeah absolutely
well so for one the Tate conjecture implies all absolutely Hodge classes are algebraic, and if you assume Deligne's conjecture that all Hodge classes are absolutely Hodge then this implies the Hodge conjecture
is deligne's conjecture still open currently?
yes but it's known in a few cases, like for Abelian varieties
ah
like for Abelian varieties we know both Tate and Hodge
and there are a small handful of cases beyond this where we know both
whatever insights about algebraic cycles are necessary to prove cases of Hodge are the same insights needed to prove cases of Tate
also Clausen has some reformulation of the Hodge conjecture which is really interesting https://mathoverflow.net/questions/446978/clausens-modified-hodge-conjecture/446992#446992
the usual Hodge conjecture would amount to the statement that every analytic K-theory class can be continuously deformed into an algebraic K-theory class
Oh that's really cool
have you done any work in (closely) related fields to this?
Well I work a lot with motivic stuff so things like Hodge and Tate come up a lot
But I don’t really work on trying to prove cases of those conjectures
I do think a lot about cases of Beilinson’s conjectures which is what generalizes BSD though
I don't work on BSD specifically since this is very hard but there are lots of other cases of Beilinson's conjectures which are more tractable
me here thinking berkeley software distro
it's going well lately I've been trying to write down some generalization/extension of Beilinson's conjectures and prove some easy cases of it if possible
almost got it working for L(E,2) for E an elliptic curve 
Beilinson relates certain (determinants of) period integrals to certain special values of L-functions, but this doesn't give an L-function interpretation for all period integrals, only some of them. In general one needs some larger class of L-functions, and some generalization of Beilinson's conjecture for them
usually what proving cases of Beilinson's conjecture means is Hodge theory gives you some very specific period integrals and then your job is to compute the and massage the answer into a form which is related to L-functions
usually the issue is that you will have some known integral expression for L-functions, and the integrals that Hodge theory is telling you to compute, and often the two will be far away from each other and you have to massage the expressions very hard for them to match up
idk it's fun because some of the work involves really fancy conjectural stuff like motives and abstract nonsense like this, but a lot of it is very explicit down to earth computations of integrals that keeps things grounded in reality
I am a Computer Science student and currently I want to choose a career path but I cant decide between AI , CyberSecurity and Robotics, Which one should I choose ?
I am interested in Mathematics, Physics and hard challenges that keep me busy.
Is there any other field that would suite me ?
I have a 3.94 GPA and am at the top of my batch in university.
how does an integral have a determinant?
(I'm thinking of stuff like classical square matrix determinant or fredholm determinants on operators)

oh I just mean that you have some matrix of period integrals and you take the terminant of some submatrix in there
Ahhhhhhh
like for the L(E,2) example you will have a 3x3 block upper triangular matrix of periods
there is a 2x2 block coming from the periods of E
there is a 1x1 block that is just like (2\pi i)^2
then there are two more entries of the period matrix off the block diagonals
one of these Beilinson tells you is related to L(E,2)
the other is mysterious and this is what requires some extension of the conjectures
one irritating thing with formulating the right conjectures is that in this example L(E,2) is an honest well-defined unique number but the other number is only well-defined modulo rational multiples of (2\pi i)^2
so in the latter case it's not so easy to check your work numerically unless you have some clever way to determine the rational multiples of powers of 2\pi i showing up
Analogy that can be made precise: the numbers Beilinson describes are “volumes” and the missing part of the picture is to lift this to a “complex volume” whose real part is what Beilinson describes and whose imaginary part is the missing part
https://arxiv.org/abs/1006.1116 This Beilinson?
Is this a common approach in research?

Like trying to solve cases instead of the whole thingus
oh yeah of course
in fact it's quite rare I think to prove some very general hard results without proving simpler cases first
Well if you can't solve the whole thing, you try to solve bits and pieces
Progress is incremental
right
wass up peeps
Though this approach only works for a general theorem
Like if you have hands on problem you can't apply it
I mean this is a fairly general approach in mathematics to consider special cases or examples rather than trying the most general thing immediately
What do you mean
Never thought about it, but heuristically makes more sense
I.e. a problem that's already a "special case". Like you see in UG psets.
like as a very simplistic example imagine trying to prove the quadratic formula before trying a few explicit examples first
Special cases have their own special cases
lol my experience with teaching precalculus is like, you write "ax^2+bx+c" and you lose half the class until you replace it with something like "2x^2+8x+5"
Lel
Thoughts on this? I have an opinion already, but curious to hear what people here think
I'm gonna teach precalc this semester 

oog
yes, switch, return the goat, buy two goats and a car and become the host to continue the cycle
only reasonable answer
also now two of the goats are those of a millionaire’s so the problem is back to normal
Reminds me of a joke
“How i became rich? Well i bought an apple for 50cents and sold it 1$. Bought two apples and sold them. Bought 4 apples, then i got my inheritance”
haha
but the real question is why they did all that
just
buy your own apple for a million dollars
boom
youre rich
With extra steps it becomes tax evasion
not if you print your own money
so the tax right belongs to you
🤯
from 5 years in prison to 50
bonus points if you launder it
mine too
Hi everyone!
Good evening
USA
Oh nice!
i recall when i was a TA i was sitting in the lecture and the prof was going through some simple example like this, some student asked "can you give a numerical example" and the prof was like "sure, let x = c"
why is it difficult to have a clear formula to calculate factorials?
it has a clear pattern
$\prod_{k=1}^n k$ seems pretty straightforward
cloud
whats that symbol?
wdym by clear formula
product
Like instead of having n(n-1)(n-2)(n-3)... , it has a more straight forward formula
when u say more straightforward do u mean by writing less characters or?
here's a formula for ya lol $\dv[n]{x}x^n = n!$
Merosity
come up with a formula for n! in terms of the determinant of matrices
whats d and x?
it's a derivative, don't worry about this, it's kind of a joke answer
oh lol
anyways thanks
yea
That's something I might now try to do, but I'll have to maybe program out a determinant function.
I don't know them by heart and honestly only use them sometimes and even then I just let a computer calculate them.
Definitly something I'll have to go over again.
Dev
Oh
Like that form that sums over symmetric group elements
det(diag(1...n)) = n!
i think that had better be 1...n
I don't know if I'm the only one that happens to me, but hasn't it happened to you that this exercise is too obvious and ends up making you get gray hair?

which maths books should I must read as a person who is aspiring for CS?

