#point-set-topology
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(you can actually make texit have custom preambles)
a 1-form assigns to each point on your manifold a linear map from the tangent space to the reals (but smooth) i think
doesnt have to be smooth, just needs to be linear
its a functional
I've taken many of the relevant classes but I'm pretty rusty, especially with terminology I guess
OH @gritty widget what you just said made this paragraph im reading make so much more sense
Yeah there's a formal way to do things with manifolds, namely smooth sections of the cotangent bundle
It's a good exercise to see why the standard dx business in R^n or open sets aligns with that
Keeping in mind that you can think of all tangent spaces as being the same
wait, why are they same
"We emphasize that for every tangent vector $v$, a 1-form $f$ defines a real number $f(v)$; and for each point $p$ in $R^3$, the resulting function $f_p: T_p(R^3) \to R$is linear."
chrstfer:
(section on the cotangent bundle just means that for every point in your manifold, it assigns a cotangent vector)
so, for any point on the manifold there is a set of tangent vectors, $T_p(R^3)$, right? thats the tangent space?
chrstfer:
How does that relate to the cotangent bundle?
they are, hand wavingly, the derivatives of the curves passing through the point
i cannot spell today
the tangents are? or the cotangents?
the tangents
right yeah
that's intuitively what the cotangent bundle is, it's a larger manifold where you assign a cotangent space to every point on your manifold
can you define cotangent space?
ok
exactly
ok
chrstfer:
rather, i meant to say space of 1-forms over $\mathbb{R}$
chrstfer:
no the 1-forms build points to linear functionals
OH
that are in the cotangent space
chrstfer:
chrstfer:
chrstfer:
grade a failure:
chrstfer:
grade a failure:
chrstfer:
basically
basically? what am i missing?
no i mean basically ya thats correct
but again, the 1 form isnt from $T$ to $\mathbb{R}$, but from $U$ to a function $(T\to \mathbb{R})$
grade a failure:
ok. So a differential form, then, is the 1-form that I can "plug in" a point to, to get a functional from a tangent vector $v \in T_p $ to a real number
chrstfer:
yup
right, the 1-form operates on points to get functionals (which are elements of the cotangent space), and those functionals take us back to the field?
yes
points to functionals and those functionals go from the tangent space to the field
the mapping from an element of $U$ to the functional $(T_p(U) \to \mathbb{R}$, which is a mapping from tangents to scalars
yea
I like that darkrifts, puts it in a nice programming context
what does the curry mean
though i guess programming got it from math so it would be the other way around
in programming its just a function with input x that returns another function which has x in its namespace (i think namespace is the right term)
It's a joke about currying @gritty widget
so like, x->(y-> x+y)
ya
$\lambda a. \lambda b. x$
Darkrifts:
anyway, carry on
dont call my phone and talk like that
no, its a generic currying from a to a function which takes b to do x
thanks
So, a 1-form associates each point p in an open set U with a point in the cotangent space T_p *(U), so what makes something a differential form? a smoothness or what?
what do you mean though, grade a?
darkrifts my book gives "Roughly speaking, a differential form on $R^3$ is an expression obtained by adding and multiplying real-valued functions and the differentials $dx_1$, $dx_2$, $dx_3$ of the natural coordinate functions of $R^3$."
chrstfer:
that's not exactly what I was looking for, but hm
a 1 form is a differential form of degree 1
in general its more complicated
you need to know alternating forms
chrstfer:
but this is all next chapter
theres more to it
the sign depends on the sign of the permutation
do you know permutations from group theory?
no
chrstfer:
its the same thing just notation
right
but the first notation was confusing me deeper into the chapter i didnt quite pick up on it
or $\langle \phi_p, v \rangle$ maybe
Darkrifts:
also that notation doesnt seem to be in my book, but it is reminiscent of c++ templates, which are functionals more or less
so is that the inner product of $\phi_p$ and $v$?
chrstfer:
not sure how
exactly, we write $\langle df(p),v\rangle$
grade a failure:
or somesuch since different functionals have mildly different conventions on where you put the p
this is because in hilbert spaces, linear functionals can be represented by elements of the space
google riesz representation theorem
ah, because the element df(p) is a function taking an input v, and can be thought of as a row vector like you said before
ya sort of
so vector inner products (dot products) work
So grade a, i'm rather poor at whatever-forms, but is there a distinct difference between differential forms and not so differential forms?
i think differential forms are n-forms but not all n-forms are differential forms
seeing as you said "a 1 form is a differential form of degree 1"
i'm clearly a bab at this stuff
alright, thanks very much for all your help
you just made this soooooooo much clearer
The pairing between the dual vector and the vector isn't an inner product
It's physicist notation
You write duals as <v|
And vectors as |u>
Since they deal with reflexive spaces it's fine
Yeah, i got confused by the notation
i've seen the inner product between two vectors written as $\langle v,w\rangle$ and the dual vector/vector pairing (i.e. the dual vector acting on the vector) as $\left(\omega, v \right)$ sometimes
GKZDragon:
where $\left(\omega, v\right) = \omega(v)$
GKZDragon:
(which in the case of real vector spaces, gives a real number, and in the case of manifolds, gives a real function $f : M \to \mathbb{R}$ on the manifold)
GKZDragon:
I dont think anyone writes it like that
Notational conventions are weird, but you could also just use the <,> thing too
Yeah, but I don't think that should be used for the dual pairing since it's also used for inner products
it is?
Hilbert spaces are
i think the question was considering general manifolds
Oh boy I better stop using my $\dv{x}$ notation since that's also used for fractions
Darkrifts:
Finite dimensional vector spaces are hilbert
hilbert spaces also require an inner product
They correspond to a choice GLn/On
Who cares
When you fix coordinates you have a natural choice
And in riemannian manifolds which physicists deal with the inner product is given
what about manifolds without inner products?
I just said so
you fix coordinates and assign them an inner product based on the coordinates?
If you want
Thats how to interpret the pairing as an inner product
But the point is <,> is fine
doesn't that require a specific choice of coordinates still?
Yes, thats what "you fix coordinates" means
But the result is independent of coordinates
wait, what?
I thought that there was no natural pairing between one-forms and vectors on a manifold
without an inner product
It's not natural in the sense that its functorial
But going back and forth is natural
V**=V is natural
So you can just pretend it's symmetric
The pairing
not V* = V...
YES
jesus
The point is, if someone uses notation it's usually justified
It's on you to figure out how
Instead of just saying it's wrong
okaay
which is why i prefer the (,) notation, since it's more justified than using inner product to denote something that isn't an inner product
You're free to use whatever notation you want and everyone will keep telling you thats the wrong notation
i didn't say that the inner product notation is wrong, you can insert a one-form where a vector should be if they're equivalent, yes?
But dont confuse other people who are learning
and that's the notation i've seen
telling someone who's learning that inner products and dual pairings are the same is far more confusing imo

and why are you even adding dirac notation into this?
like, the user literally said they were confused by the notation
and thought that functionals were inner producgts
y'all don't have to get on my ass because i'm using slightly different notation to stress the difference between dual spaces and inner products
@real notch related note: especially if it's the first time they're encountering it, d/dx notation for the derivative can be confusing, which is why most intro calculus textbooks make sure to explicitly mention that it isn't a fraction
or else you get stuff like this
that's the joke
because you're complaining about confusing <w, x> with dual
I think pear's entire thing is about how you can by fixing a coordinates
So uh
"When you fix coordinates you have a natural choice"
I know one of them mentioned Riesz somewhere in there
Yeah the point was that you are usually in the riesz setting
Aka reflexive spaces
The question pretended to be about general banach manifolds
But it was actually about (usually riemannian) manifolds
Where the pairing's fine
Who cares this is dumb
hi, can anyone help me with a basic continuity problem?
Let M = (M, d) be a metric space. Check that
d: M ร M โ R
itself a continuous function (where M ร M is equipped with the product metric)
What definition of continuity are you using
Preimage of open is open
Okay, then what are you stuck on
I would have to prove all open sets in R have open preimage in MxM, no? A set is open if there exists a r neighborhood that is contained within the set. For open sets in R (each point has a ball within the set), how can I know whether the preimage is open? Kind of there, I'm stuck
Its enough to consiser a basis of open sets
As you see from the usual definition of continuity
With epsilon and delta
what do you mean by basis?
It's enough to prove it for open sets of R which are intervals
Prove this fact first
because all other sets are union of the intervals, right?
I'm blank. This is the first time I come across the product metric, too
Well that's where d is defined
But you probably arent used to dealing with products
since it's MxM, I guess a, b contained in M, d:(a, b) = (a^2+b^2)^(1/2), that is the product metric, right?
That's one metric
A function AxB->C is continuous iff the composition with the projections is continuous
This fact might help
the projections?
The projections AxB -> A given by p(a,b)= a
And similarly for B
Alternatively, you can try to give a more geometric argument
Maybe thats better for you
Given an interval (x,y) and a pair (u,v) in your metric space, you need to find an open set around (u,v) that maps to the interval (x,y)
You can use the triangle inequality to build such an open set
Recall that if U is open in A and V is open in B then UxV is open in AxB
This is another simplification, rather than directly showing the preimage is open, you find an open set around each point in the preimage
@sleek canyon We can have a y- and a x-neighborhood around the origin of M and intersect these sets. The result would be an open set U in M. UxU is mapped to the interval (x, y), and we can construct all open intervals this way. So for every open interval its preimage is open (it's a donut). Is this correct? Regardless, how would you use the triangle inequality?
you have left out the most important part - the set must map to the interval in question
I mean, you say it does
but does it?
An easier notion of continuity to use for this might be the preserves limits definition
ie sequential continuity
The intersection of the neighborhood with distance less than y with the one with distance less than x is open and by the distance formula it is mapped to the open set that goes from x to y
The problem said MxM->R though, also I'm not adding as you said but using the product metric so I'm not sure how this applies here
@gritty plinth I don't get what your neighborhoods are doing
but they really don't seem to work
you start with a point (a,b) which maps to z in the interval (x,y)
and you want a neighborhood of (a,b) which still maps to the interval (x,y)
oh right, I messed up really bad with the neighborhoods thing. I'll rewrite it with what I had in mind. We can have a x- and y-neighborhood from the MxM origin and take the complement of the x-neighborhood with the y-neighborhood and take the complement of that with the limit points (or just the circle with radius x; picture a 'open' donut). Call this set S, it should be open. S is mapped to the interval (x, y) as the distance from 0 to the limit of the x neighborhood is x, and to the limit of the y neighborhood is y. We can construct all open intervals this way. So for every open interval its preimage is open. Does this make sense?
that's not gonna work
it doesn't make sense to try to build a neighborhood of the form U x U
you want a neighborhood of the form U x V where U is close to a and V is close to b of the pair (a,b)
how close? close enough, depending on how far x and y are from d(a,b)
If I remember right, UxV can be used as basis.
I'm really lost lol
think about it like this
let's say d(a,b) = p
right? for some p in (x,y)
say (p-e, p+e) for simplicity, whatever
now surely you can find a neighborhood of a such that for any A in it you have d(A,b) ~= p
and similarly for b
right?
can you do it for both now?
the hint was the triangle inequality
nope, still no idea...
you'll have to think about it
alternatively you can drop this definition of continuity and do it by sequences instead
forget that part
the point is you have some wiggle room inside (x,y)
cuz it's open
the important part is the rest
Lol Jaco, you've been at this for hours
lmao
d(a,b)
this is how I see it, yet I can't see where the triangle inequality can tell me this is an open set
why is it a torus?
doesn't make any sense
you can move b slightly, and you can move a slightly
the wiggle room is like a ball
if the distance is less than x, its outside the interval
the distance between a and b
not the distance from the origin
whatever the origin means
there's no origin
Yes but there are many a and b's
no you fix one
that's the point
you fix one pair (a,b) and find a ball around it
that goes into (x,y)
you can find a ball within the torus, no? I drawed a torus because of how the distance is defined so the distance goes radially... The distance between a and b is supposed to be the distance from the pair to the center of the picture
no
the picture doesn't make any sense
it doesn't represent d(a,b) in any way
note that d(a,a) = 0
WHAT
oh okay
I think you misunderstood
d: MxM -> R is the distance function in M
it's not a "product metric", however you wanna define one
it's just the usual metric
what is the usual metric?
d(a,b)
the distance between a and b
defined by the metric space
the product metric would live in MxM x MxM
and the problem says the MxM has a metric called the "product metric"
okay sure
I've been just using the topological space MxM
but you can give it an explicit metric that generates it
if you want
but I think that's confusing you, more than anything else
the product metric is a function MxM x MxM -> R
so...
yeah, I'm sorry, thanks for helping me though
maybe leave it for a while
and give it a fresh look tomorrow
I could just tell you the answer but I don't think that's instructive
I think the geometric argument is good for you to figure out on your own
๐ sure
Hello. Can I bother you with simple homology stuffs? Let X=R^2, p point in X.
Is it true that Hn(X, X\p) = Z if n=2 and 0 otherwise?
or am I going mad
follows from LES ?
...->H2(X\p) -> H2X -> H2(X, X\p) -> H1(X\p) -> H1(X) -> ...
ye
Thank you
Oh lordy here we go. Okay so, to begin with, when it comes to topology and geometry, I have barely any background in it.
Right now I'm on set for a project to construct a Hexagonal Sphere (Might not be the proper term, but seem gif below)
Quite frankly, I'm really lost. I've found tons of resources from stack overflow (https://stackoverflow.com/questions/46777626/mathematically-producing-sphere-shaped-hexagonal-grid) to some bits of code, but nothing that's truly helped me understood it.
If anyone could help clarify some of these concepts, I'd be really grateful. To have a bit of an insight on what I'm trying to do exactly, I'm trying to program (In Lua) a function that takes a number representing the (rough) radius of the solid, as well as the number of tiles and then generating such an object. Sadly I've been really lost when it comes to the actual assembly of it. I'm not even sure if it's physically possible without semi deformed shapes.
Sadly, I'll have to look back later, but I appreciate any kind of advice. I'm completely stumped lmfao. (Also if there's a better channel for this, apologies!)
Does it need to be strictly hexagonal? The one you posted is not
Also, researching sphere tilings should be what you want. In theory radius should be irrelevant but there are probably restrictions on the number of polygons
Is any region of the complex plane homeomorphic to the whole complex plane?
What do you mean by a ball?
Yeah I know what a ball is
Do you mean any region is homeomorphic to a ball
And a ball is homeomorphic to the complex plane?
yes
in fact U c C is homeo to C iff it's simply connected
ball's the stuff inside
aka an open disk
In complex analysis, the Riemann mapping theorem states that if U is a non-empty simply connected open subset of the complex number plane C which is not all of C, then there exists a biholomorphic mapping f (i.e. a bijective holomorphic mapping whose inverse is also holomorph...
Are you talking about this theorem?
@sleek canyon yes, I saw it was answered but I was hoping for a more clarified answer as I'd like to understand more about it.
mathbb:
I see now, we can check for periodicity by checking if there is some $c>0$ such that $\psi(x,y,z, c)=\psi(x,y,z,0) + 2\pi(n,m,k) $ for some $n,m,k\in\mathbb{Z}$. If this were true, we must have $k=0, 2\pi n=c\cos(z), 2\pi m=c\sin(z)$. Now for any point with $z\neq 1$, we must have $\tan(z)= \frac{m}{n}$. Clearly the tangent of any $z\neq 1 $ is not necessarily rational so the flow is not periodic. However, Iโm still wondering how I can get an explicit flow map $T^3\times \mathbb{R}\rightarrow T^3$. We could try $\pi^{-1}\circ\psi\circ\pi$, but $\pi^{-1} $ is only defined locally. Would I have to get a collection of these on a finite cover of the torus and patch them together with a partition of unity?
mathbb:
Given a sufficiently nice topological space X (second countable, connected, hausdorff) we define a notion of boundary as follows. The n-boundary of X is the set of all points which do not have a neighborhood around them homeomorphic to R^n. It is pretty easy to verify that the n-boundary of X is closed. Suppose the complement of the n-boundary is a n-manifold and the n-boundary is a n-1 manifold. Is X a n-manifold with boundary?
Any ideas would be appreciated
@ivory dragon any thoughts?
So the key here would be showing whether X is a (topological) manifold
Being a topological manifold with boundary does not imply being a topological manifold, which is somewhat confusing
But the other way around is true
If something's a topological manifold, then it must be a topological manifold with boundary
If you can show that X is a topological manifold, it should follow that it's an n-manifold with boundary
Can you see why?
Um the point here is that it can have boundary
Any connected manifold with boundary should satisfy my conditions
I know about manifolds with boundary lol
Then what's the problem?
So this construction is designed to generalize the idea of taking the boundary
Yes
With the goal of asking the question "is a connected space a manifold with boundary iff it's boundary is a n-1 manifold and it's interior is a n manifold"
I should probably think about this a bit more when I'm more rested lol
There is a nonzero chance that I'm being stupid
it's not
take R^2 and add a line R passing through the origin
the complement of the n-boundary is R^2 \ {0}, a manifold. the n-boundary is R, a manifold.
the union is not a manifold with boundary
the intrinsic problems in the definition are pretty evident from this
the condition of being locally a half space is quite strong
compared to this boundary condition
@sleek canyon thanks that's very helpful
Uhh
this is a physics kinda qution
but i will ask away here since it's still differential geo
What is an intuitive explanation of differential forms formulation of Maxwell's equations?
oh wow
right up my alley
The formulation of Maxwellโs equations with differential forms consists of the following two equations:
F=dA
and
d โ F = J
Though to be perfectly honest
I'm not sure what you mean by intuitive
If you donโt understand how to get from these to the four Maxwell equations in vector calculus notation,
then you need to learn more differential geometry, since thatโs a very basic exercise in transforming differential forms in index-free notation to index notation,
then applying the definition of
A = Aฮผ
and
J=Jฮผ
omg
i assume I don't need to correct myself 
If youโre looking for something else, let me know specifically what sort of intuition youโre looking for and Iโll try to provide that. @zinc tinsel
:)
To me the most important two equations relate the time derivative of the electric field to a magnetic field and the time derivative of the magnetic field to the electric field.
I don't recognise the notation.
A is a one-form (the potential one-form A= A_ฮผ=โจฯ/c, Aโฉ where ฯ is the scalar potential and A is the vector potential, and d is the exterior derivative. F=dA โน dF=0, which is the two Maxwell equations relating time derivatives of one field to the curl of the other. (To see this, just remember that in three (plus one) dimensions, the exterior derivative is basically the curl of the vector potential (plus a constant times the time derivative of the scalar potential).
@zinc tinsel
If you need any further explanation, ask in the physics channel. I don't want to be banned by @honest narwhal
I've seen Hank linger around in that place.
Hank?
Ye, some physicist who isn't too spectacular at math but could likely tolerate that question.
shoot.
What is a layman's explanation of why simplicial complexes are used in topology?

The answer is that simplicial complexes offer a combinatorial model for a large class of topological spaces (including all topological manifolds.)
That is to say, that these offer discrete things to calculate for a lot of spaces we care about (up to homeomorphism.)
This can sometimes be a great theoretical advantage at well (for example, Riemann-Hurwitz and the Lefschetz fixed point theorem become near trivial in this setting.)
Ultimately, CW complexes were introduced as alternatives to some of the clunkier models used in simplicial complexes
RP^3 is a good example of a gross triangulation, and indeed the CW-structure is much simpler.
These offer a nice halfway point, where the structure is looser in its requirement, but still offers a lot of theoretical advantages for proving theorems, but it is still hard to speak of an algorithm to get a result out.
For example, if you want to form the nerve of a covering, it would be laborious to do so for CW-complexes (and basically pointless since simplices work just fine there.)
This is true for making nice arguments, but also true if you want to program an algorithm to compute some topological invariants.
Do you understand this now?
I tried to put it into laymans terms as well as I could
Yes ty
Might I ask you something @zinc tinsel
suress
From what I have seen, you have been struggling with set point topology notation.
These questions you're asking imply you have made some sort of a quantum leap in your studies.
aha two people use this account.
oh xD
"hey what's a perfect set"
"hey hows simplical complexes work"
yeah woah that confused me too
lol darkrifts

sorry im about as intelligent as a poptart, but if you have a k-form at p, you define a linear functional from the k-th exterior power of the tangent space at p to the scalar field?
like, for a k-form $\beta$, you get something like $\beta: U \ni p \mapsto (\bigwedge^k T_p(U) \to K)$ or something?
Darkrifts:
so each p maps to a linear functional from the wedge power boy?
nice tex skills.
Featuring quite a few science/math YouTubers! Vihart response: https://youtu.be/CruQylWSfoU Brought to you by you: http://3b1b.co/mug-thanks And by Brilliant...
This is REALLY basic topology, but I'm actually very surprised that Matt Parker didn't solve it immediately since he specifically wrote in one of his books about how genus 1 surfaces could have more planar graphs (like the utilities graph) that wouldn't be possible on a genus 0 surface.
probably playing it up for the camera
Agreed, any of them would have immediately been tipped off by the mug
lmao
well, vi hart didnโt play alongโฆ but also didnโt make the cut for that video
(she released it as a standalone video a bit later)
(ruining a perfectly fine donut in the process)
drawing K_7 on a torus is part of a class i was TA-ing
my colleague knitted a torus and stitched the K_7 on it
to visualize it for the students
Lol @dim meadow
"Algebraic topology (also known as homotopy theory) is a flourishing branch of modern mathematics."
I didn't know algebraic topology = homotopy theory
"Algebraic topology = homological algebra + pictures" -Serre
"although a lot of recent model theory has centered around fields"
I'm paraphrasing
From hodges
Let me see if I can find the quote
Does anyone have a recommendation for a good introductory text to algebraic geometry? Something that would help me get the flavor of the field?
EGA
SGA
FAC
if you really want a panorama that goes too fast check out Holme's A Royal Road to Algebraic Geometry
otherwise a good beginner textbook is Eisenbud and Harris Geometry of Schemes
Basically that the description makes no mention of geometric topology
A lot of these descriptions are outdated
They seem fine tbh
yeah i'm jesting
Though you suck and I should change you
it was but a ruse
Why is a finite CW complex compact?
Hatcher explains on page 5 how a CW complex can be constructed inductively by attaching n-cells i.e. open n-dimensional disks.
hatcher
On page 520 in the appendix he writes "A finite CW complex, ... , is compact since attaching a single cell preserves compactness."
Now my question: why is this obvious? An open disk is not compact, so how can I see that sticking two together is?
what the fuck are you babysnake? @wraith bluff
No.
then why the fuck are you posting that
:)
Tilted
@sonic niche attaching a cell is the same as taking a union with a closed disk
with the boundary already being in the set
lol
You are attaching closed discs in a CW complex (In the notation of hatcher D^n is the closed n-disc cf. page XII). Each closed disc is compact.
ye that's the algebraic analogue of this geometric notion
For real though, probably something like "Point-set, algebraic, and geometric topology. Differential and complex algebraic geometry" sounds good?
why the fuck are you repeating what I just said @wraith bluff
sounds good
oh my god
"The CW compex is formed by taking a quotient of a compact space (the finite union of compacts is compact). Taking a quotient preserves compactness (Since the quotient space is the image of the original space under the projection map, and continuous maps preserve compactness)."
can you just ban this guy @honest narwhal
@honest narwhal pls
let's go to numbers &co @sonic niche
lmao
I have all day.
All the time in the world.
Don't have any qualifications.
Got sacked
I've been blacklisted by the society of "janitorial contributions to society"
I can't even leave my room!
Take this discussion in particular somewhere else, and Cat God, your situation is going to be reviewed but do not continue trolling here
hi, I'm new here
I'm having trouble defining a geometric notion of point sets
does that sound like it fits in this channel?
if yes, I'd like to elaborate
geometry
but I haven't studied much topology so please bear with me
oh sorry I skipped a word
a geometroc notion of convergence of point sets
I mean points in a space with a defined metric
I don't know enough topology to know the exact necessities, so let's just go with normal, euclidic space
and the point sets change continuously, because I think that is probably easier
so if you have a 2D disc, with boundary that is shrinking with "time"
I can google that but I can also explain where I'm at with my own reasoning
long story short, I think I have figured out a way to define convergence for most sets
but it breaks down for some pathological ones
like every irrational number but not rational ones
for example
and certain special infinite dimensional fractals
(I think)
if you take the set of irrational numbers
and this set does not change over time
then I still don't know a way how this function can converge to the set of irrational numbers
which is what I want
does that make sense?
my method of convergence that I made up is the following
the function F assigns a set to each real number, I'm interested in the limit of F(x) x->y
first, I take the "insides" (not sure of the correct word) of the sets at each x and look at the closure at y
except, I think "closure" is not quite right
which coordinates can you go to arbitrarily close to, in a continious path
the path must never be outside F(x), and the path must end with an x coordinate of y
the result will always be the closure of the limit that I want it to have
so the inside is always correct, but the boundary might not be
This relates to completeness unless I'm misunderstanding?
so I subtract the boundary of the result
the next step is to take the boundaries of each set and if they are not all empty, I repeat the steps
and add the inside of that result to the endresult
so if you have shrinking circles that have a boundary of one half but not the other
and they shrink to a point in the limit where the radius is 0.5
then the first step would add a circle without boundary with radius 0.5
the second step would add a boundary on one half, but not the end points
the third step will add the end points, if they are there
then the procedure bottoms out and gives the result that I want
but if I try this with the unchanging set of irrational numbers
then it never bottoms out
because the boundary of the boundary of the set of irrational numbers is the set itself
and I see no way to fix that
this is probably a bit hard to follow, I'm sorry
I can make some drawings
and I will google the gromov hausdorff metric
I haven't completely groked the gromov hausdorf metric yet, there are a lot of terms that I don't understand
but I get the feeling that it does not deal with boundaries, is that correct?
in other words the metric can't help me tell the difference between a disk with boundary vs no boundary
I made an illustration
pictured is a 2d example
or a 1d, rather
the sets are lines in 1d space
and the function assigns a line to each real number x
grey and red are the points belonging to the sets, red being a boundary point
on the right is a naive convergence
the naive convergence is just the convergence of each coordinate
in the upper example, some points will be in the set, until the line has shrunken too much and then it is never in the set again, so the convergence of this coordinate is "not in the set"
this convergence has the benefit that the negative of the limit set is equal to the limit of the negative sets
this is a property that I definitely want to keep
BUT
it cannot tell if boundaries are supposed to be in the limit
in the upper example the boundaries are correctly included, but in the lower example they are missing
the naive convergence that I described right now, yes
the more elaborate one needs pictures I guess
I don't think you know what you're trying to define
but a better question is, why?
what's the goal here
I want to put a definition to my intuition
what's the intuition
if you take a geometric set, and you take cross sections of it
what's geometric set
just any shape
ok
sure
if you let the location converge to some position
then you have a convergence of cross sections
ok
and the limit, for almost all shapes, should just be the cross section of the shape at the point you're converging to
is that what you're trying to say?
of course, the shape may just be something completely different at point, but usually not
I'm failing to define the convergence of the cross sections
can you explain that in different words?
I may know what you mean but I'm not sure
if you're taking cross sections through the point x
and you're going to take the limit of the cross sections as x -> y
the only sensible way to define it as the set which contains all limits p(x1), p(x2), p(x3), ... where xn -> y and p is any point in the cross section at x1
no
more importantly, the limit is not going to be the cross section at y, even under very generous conditions
for example even if your space is a manifold
it's going to fail wherever the associated projection map isn't regular
I don't understand that
I can imagine
for know I'm interested in euclidian space if that helps
manifolds are locally euclidean
if I can solve that I can think about extensions
they are the nicest possible subsets of euclidean space
for these kinds of things
and even those aren't gonna work
but they work almost everywhere
what if I require global euclidianess?
good
I still don't understand why the limit with your definition isn't always closed
in R^n, that is
let me check that I understood what you said
first of all, you are assuming a sequence of cross sections
not a continuity
ok
it's the same
let's say a sequence because it's easier to describe
I mean
you take a point of the first cross section, then a point of the second and so on
it's closed inside your space
the coordinates of the points may converge or they may not
if you take all possible sequences that converge
and take the unit of all their limits
that would be the limit of the cross sections
is that correct?
ye
I don't understand how that is not always closed
I thought about this definition and it does not do what I want
what do you want
if the cube is borderless, then the limit of the cross sections should also be borderless
it is
but with your definition it has a border
how do you define the space?
that's why I'm saying it's not closed in the ambient space
what
the space is your "geometric set"
I'm telling you that a reasonable definition should be a manifold
ah, but what if I don't know what the geometric set is
imagine you only have the cross sections
then you can't define things on it
you don't know what the rest of the shape looks like
this is the only sensible way to define the limit
I'm dissatisfied with that...
can you explain why there can be no other way
let me put it this way
the series 0,1,0,1... does not converge
...with the normal definition of convergence
but there are extensions that let it converge to .5
i mean it wholly depends on what exactly you're trying to do
if you're going to be dealing with geometric properties, this is the definition you want
and these extended definitions give the correct answer to all "normally" converging series
so I think there often is not just the one true way
you would need to have a better characterization of the kinds of objects you're dealing with
and the kinds of problems you want to solve
as long as it's just a toy problem, with no significance, you can do whatever you want
and you can come up with a lot of definitions that might satisfy you but won't do anything
definitions in math are in service of proving theorems
they come after someone realizes that those are the right objects that get you places
and that give you powerful results
I don't think I have a good reason for why this is the canonical definition other than "this is how it works in geometry"
but I do know that every mathematician you ask would tell you the same thing
it is a toy problem, I'm not a mathematician
but finding a definition that has real value and gives powerful results is not my problem right now
my problem is that I can't find any definition that satisfies me at all
it's possible that there is just no way to do it
@restive mural What if you rigorously defined "satisfaction"? Not the idea, but what you are seeking.
Also - what are the "extended definitions" like?
All of the ones you are using.
And how are you defining "geometric"?
When I think "geometry", I think of this: https://en.wikipedia.org/wiki/Klein_geometry
In mathematics, a Klein geometry is a type of geometry motivated by Felix Klein in his influential Erlangen program. More specifically, it is a homogeneous space X together with a transitive action on X by a Lie group G, which acts as the symmetry group of the geometry.
For b...
Maybe you don't!
what kind of prerequisites should one have before doing algebraic topology
I think some of topology course or book insert a little at at its end. So I assume as long as knowing algebra and topology it's sufficient for intro
Like I saw Seifert-van Kampen at the end of lee's topological manifold book
Hmm, lee's top manifold is intro topology book right?
ehhh
not really
it's a weird book
I haven't read it
topological manifolds aren't such a core topic
compared to just point set topology, differentiable manifolds
and algebraic topology
Well the book read like top intro book but for people interested in manifold theory potentially interested into diff geo. Though maybe that's just my lack of experience
lee's smooth manifolds is the usual intro to diff geo
Yeah that's the sequel
People keep calling it lee's trilogy for people going to specialize into dg or so from what I remember
Or manifold theory. Sorry maybe I misremember some things so nevermind
Is Croom's book good for that?
I've seen the table of contents
But I haven't read the book
It goes from "no topology background" to "introductions to category theory and algebraic topology"
Algebraic topology prereuisites
I like sims and bredon
but I do recommend munkres
first
for the algebra any standard algebra book will do
D&F, rotman, artin, herstein, pinter
@lavish dirge sorry, I was sleeping
rigorously defining what I'm seeking is problematic, I wonder if it can be done without already knowing the answer
imagine you're a mathematitian from a long time ago
and you're thinking about what happens to the sequence 1, 1/2, 1/4, 1/8...
you think the answer should be 0, but how can you define the result?
it's getting ever closer to 0, but technically, it's also getting closer to -1
I think you can't fully define what you're looking for without having the definition in the first place
what are you talking about rn
but the intuition is still important
limits? or what
ah, yes I was talking about convergence earlier
I'm looking for a definition of convergence for certain objects
what objects
I would gladly talk about it, but ivy wrote several replies that I also want to answer, hmm
i mean... i'm a bit out of the loop on what you're talking about
- this is a placeholder that I
will fillhave filled with answers to ivy -
"Also - what are the "extended definitions" like?"
-well, the easiest definition for convergence here is to take the limit of each coordinate by itself
as you move the cross section, the status of a coordinate of the plane might be 0 1 1 0 1 0 0 0... and then 0 forever (1 = belongs to the set, 0 = does not belong) so the limit if that coordinate is 0
do that for every point and you have a limit
but that limit does not give the desired answer for boundaries
I have a more elabore definition that gives the desired answer in most cases but it breaks for some pathological examples
I tried to explain it earlier but I'm afraid it was impossible to understand, if you want I can try again with drawings
"And how are you defining "geometric""
-I'm afraid I don't understand many terms in that wiki article, it certainly possible that you assossiate geometric with something very different than I do
when I said geometric, I think what I meant was differentiable manifolds
but let's use just R^n in the beginning
-end of placeholder-
imagine you have a 3D cube, in 3D space
you can take cross sections of the cube by intersecting it with a plane
if you move the plane up or down, the cross sections might change, depending on the angle
now if you let the position of the cross section converge to some location
then you get a series, or a continuum of cross sections
uhh
I am looking for a definition for the convergence of these cross sections
what
now if you let the position of the cross section converge to some location
i don't understand what you mean by this
if you move the plane up or down, the cross sections might change, depending on the angle
or this, for that matter
what angle
ok, imagine you have a cone
the tip is at the origin, and it's pointing in z direction
ok...
the plane for the first cross section is the x,y plane
now you move the plane up in the z direction
the cross section at first was a point
the cross-section turns from a point into a circle
you keep moving the plane up to the position z=1
in the limit z=1, what does the limit of the cross sections look like?
i'm struggling to understand the motivation behind this entire process
if there even is any
what is this all for
i think your example with 0 1 0 1 0 1 was better
than this geometric one
he had a problem with the limit of this sequence being 1/2 or non existent
iirc
no, not really
alright ill see myself out again lol
I used that example in a philosophical sense
I was arguing that there is often more than one useful definition for convergence for the same domain
well ya
but as reflexive mentioned, we work with the definitions most useful in the given context
you're not the first to ask about the motivation of all this, ann
that's interesting
I just think it would be neat to have a concept for convergence of this kind of geometric objects
like sure, you can drop the positivity requirement for say a set function being a measure
not sure how else to explain the motivation
but when youre working in intro measure theory, you keep it since its useful
and you call possible negative measures that
signed or negative or whatever measure
of course, when you think about cross sections of the object of interest, instead of worrying of the limit as the cross sections approach a certain point, you could just look at what the cross section at that point is
but what if you send out the plane to infinity
then you can't do that
well, thats where continuity comes in
is that enough as a motivation?
and you cant always look at the cross section at that point
what? no
since limits dont require your thing to be defined in that point
is the wedge product of something with itself (df^df) always zero, or is that only true for the coordinate differentials (dx^dx)?
oh you
nah you're right and i should have done that immediately
i need more practice working with these algebraically anyway
and yes, they are
what is some intuition behind the fact that knots aren't a thing in 4D space?
is there some kind of formal proof or intuition behind that fact?
Not the best at imaging 4 dimensional space
@gritty widget wouldnt that also be an extra degree of freedom to make a knot?
๐ค Would S^2 then not give more degrees of freedom for making knots in 5D space?
it does for most
What are S^n?
circles, spheres and hyperspheres
ok
yeah
fire
yes, i know the explanation for R
u can find 2 disjoint intervals for 2 diff points
for R^n is the same but with balls?
the two points can be housed off from each other by balls of radii smaller than half the distance between them
haha get it
so to explain it, i need to talk about what is a metric space?
wait how are you talking about hausdorff without knowing what a metric space is lmfao

i know what a metric space is
i mean
then you can prove all metric spaces are hausdorff
and then just apply that to R^n and be done
but again, metric spaces appear
i mean they don't HAVE to appear if you don't want them to ig
isnt there a way to explain why R^n is hausdorff without mentioning the metric?
okey
^
mmm okey, thanks
oh i mean like i guess you could define the topology by viewing R^n as a product space
with R endowed with the order topology
and then you get a base consisting of open boxes
same shit tbh
for this i need to talk about the product topology ๐
is okey, i will talk about the metric just a bit
ty
if you wanna do it with products then prove that X hausdorff, Y hausdorff implies XxY hausdorff
it's just as easy
i have a nother quest
question*
could u help me to draw that on a square form?
like that
if possible
Is there a way to implement game engine that uses Lobachevsky's geometry in its core?
To simplify, lets say the space is 2d
Perhaps using Poincare's half-plane model
My question is more related to geometry
More like how can one calculate shapes' deformations
Maybe ask there too just in case
Ok
guys
e
every metric space is hausdorff?
yes, right?
and a hausdorff space has always a metric?
okey
so... I was about to say that Rn is hausdorff cuz u can always find 2 open sets with radius less than the half distance between both points
but that is pointless if every space with metric is hausdorff
what does that mean uwu
@gritty widget
why
๐ฆ
if i said something wrong i will appreciate ur help
ok ok
and... S1 (the sphere on a plane)
is the quotient of [0,1]x[0,1], right?
whats the diff from quotient topology and product topology?
No, S1 is the quotient of [0,1]
ah
so what is a quotint space?
cuz for me S1 has dimension 2
and [0,1] dimension 1
S1 is only the points on the boundary of the unit circle
ye
E.g. it's only the points exactly distance 1 away from the origin in R2
S1 is a 1-manifold so
so S1 is the interval [0,1] but bent?
A quotient space intuitively is where you identify different points together
In this case, S1 is the interval [0,1] but you say that 0 and 1 are really the same point
Which makes sense if you think about taking the interval and connecting the endpoints
it is a circle
Right so there are two ways to write the torus
You can write it as S1 x S1 as the product of two quotient topologies
Or you can write the torus as the quotient of [0,1] x [0,1]
so S1 is the quotint space of [0,1] where 0 and 1 are the same point? thats the definition?
That's one way you can define it yes
and another one more precisly? could u give me it?
You can define it as a subspace of R2
yes but i have to explain S1 as a quotient space
It's really probably best if you read a textbook or some lecture notes on this stuff
example 3.22 in Lee's book
is literally S1
But regardless, it's helpful to construct these examples yourself
You know what the definition of a quotient space is, you know what the identification has to be because I told you, so you should construct it and see how the quotient works
I can think of at least three ways to construct S^1 as a quotient
the first two are basically the same and the third is actually a suspension
For the first two, we could consider R/Z or we could consider [0,1]/{0,1}
for the third we could take the 0-sphere S^0 which is just two points, take the product with an interval I, and then quotient by gluing the respective endpoints of the two intervals
noncommutative torus?
yes check wiki it's some cool C*-algebra stuff
imo operator algebras are pretty entertaining and deserve attention. they're robust and have tons and tons of structure
Gonna have to disagree with this ordering. There are a lot of ways in which S^2 is way more interesting and complicated than the torus...
my schools math department has a dedicated section called operator algebra
Homotopy groups of the torus: ez
Homotopy groups of S^2: open
yeah the torus is pretty much as complicated as S1 which is quite simple

