#point-set-topology
1 messages · Page 249 of 1
yeah I see a counterexample to being a lattice now
and there is no tube in that case indeed
No there's not 
That's what I just said 
Example is take R³ and H is the xy plane but skewed to have some irrational slope along y so intersection of Z³ with H would be Zx0x0 which is lower dimensional so not a lattice and there's no tube and projection is also not discrete
ahh if there were points in L arbitrarily close to H, then consider their orthogonal projections onto H. These projections can be translated so they lie in a single parallelopiped in H, so by the same translations those original points could also be assumed to be projecting onto the same parallelopiped. Now this parallelopiped's epsilon neighborhood's closure is compact but contains infinitely many points of L so L can't be discrete
Used that the intersection is the same dimension as H to do the translations otherwise not everything will lie over a parallelopiped
I am trying to learn some basic algebraic geometry and I'm struggling with understanding the Zariski topology and trying to find a proof.
There are the following two constructions:
$$\mathcal{V}(S) = \left{ a \in \mathbb{A}^n | f(a) = 0 \text{ for all } f(x) \in S \right}$$
where $S$ is a set of polynomials in $K[x_1, \dots, x_n]$, and
$$\mathcal{I}(W) = \left{ f \in K[x_1, \dots, x_n] | f(p) = 0 \text{ for all } p \in W \right}$$
where $W$ is a set of points in $\mathbb{A}^n$. Now the Zariski topology has the algebraic sets as closed sets, and I understand that part.
I was also able to prove some basic facts about $\mathcal{V}$ and $\mathcal{I}$, such as how they work with unions, intersections, subsets, etc.
Where I'm getting stuck is the following proposition:
The Zariski closure of a set $W \subset \mathbb{A}^n$ is exactly $\mathcal{V}(\mathcal{I}(W))$. I'm not sure how to even start on it.
I tried thinking of the closure as the intersection of all algebraic sets containing $W$, but got stuck and couldn't proceed.
Does anybody have a hint on how I can start to prove this?
Anomalocaris
You have to show that V(I(W)) is the smallest closed set containing W so it suffices to show that it is closed and that any closed set containing W contains it. The first one is by definition, for the second one, suppose there's a set S such that W is in V(S). What happens when you enlarge S? Can you compare S and I(W)?
I'll try that now, I'm really slow at math stuff so I might not be able to get back for a long time depending on how hard I get stuck
It seems easier than what I was doing at least
Nope, I have no idea what I'm doing here.
I wish the text would actually describe this stuff instead of defining it and saying the proofs are easy
When you make S larger, V(S) becomes smaller. Try proving that S is contained in I(W)
This would solve the problem because it would say that all such S are in I(W), so therefore all such V(S) contain V(I(W))
Meaning V(I(W)) is the smallest closed set containing W
And I don't know how to do it, because this is so unlike any topology I've ever worked with
V(S) tells you how elements of S evaluate on W. I(W) is the set of all elements that evaluate that same way on W. Do you see it?
V(S) tells you how elements of S evaluate on W
what do you mean about how element of S evaluate on W? I've never seen that definition before.
Elements of S are polynomials
When you evaluate those polynomials on a point in W, you should get 0
Because you should get 0 for any point in V(S) which by assumption contains W
I proved it I think. I don't really understand what it means yet, but I managed to show it
What's the euler characteristic of a pseudo-sphere?
what is a pseudo sphere
It's a shape with constant negative gaussian curvature
And I have been wondering what's its euler characteristic is
Weird I cannot find anything about its homotopy type
so like
that is my guess re: cylinder
but also when things get too analytic they can go wrong idk
it should have betti number 0 though
if its htpy eq to a cylinder
isnt this a hyperbolic space
you can very much form cursed quotients of H^n
I didn't see any mention of it being homotopy eq to a cylinder on wiki
there are a lot of cursed spaces with nice universal covers
maybe i missed something important
you should get spaces w/ negative gaussian curvature have a contractible universal cover so the only interesting betti number comes from H1(abelianize π1, which fully classifies your spaces up to isotopy)
I am not sure what you mean by this ari, a space can have contractible universal cover and many interesting homology groups
like a torus
Yeah but it doesn't determine your betti numbers
Categories can come with sheaves right
?
If a category has a good notion of covers you can define what it means for a presheaf to be a sheaf
the coverings tell you how to make sense of the sheaf gluing condition
i.e. if F is a presheaf and U is an object then covers of U should determine F(U)
That make sense
https://ncatlab.org/nlab/show/Grothendieck+topology @brisk horizon
I do not understand why the germ of f is phi. I have a rough visual of it(f should take values close to phi) but cannot see beyond that
@coral pivot wait isn't it literally just like
Choose a ball
And uniqueness of analytic continuation?
Hmm I don’t see how that makes the germ phi tho
I may be misunderstanding, but doesn’t phi come equipped with a function and an open set, and since a is in that open set, the analytic continuation as they describe to any point in that open set is just the value of the function?
Oh lol I’m dumb yes I see it now
Like the continuation is going to be phi in the neighborhood of a phi is picked in
Ty dami and saketh, had a brain fart oof
Why are Haken manifolds easier to deal with than other ones in 3 dimensional topology?
@plain raven Grothendieck topology this is interesting

Cool! Do you have anything to say about descent?

nice

hello! How do you derive this formula for the surface area of an ellipsoid?
#calculus but you integrate and approximate
ok thank you
So I've been thinking about it and I don't understand what you're doing exactly. Are you translating them by points in L? And if so how do you guarantee they all lie in the same parallelepiped, and why can you assume they're all projecting onto the same one
Pick a point x whose projection lies in a parallelopiped P. Then translations of P by points of L cap H should cover H. So you can translate proj(x) by some k in L cap H such that it lies in an arbitrary translate Q of P. Then proj(x+k) will lie in Q, and x+k is in L because x and k are
Ok yea that's the cocompactness of L cap H, but why does this imply there are infinitely many points in one of the parallelepipeds
Not in one of them, but infinitely many points arbitrarily close to one. The assumption was that there are points arbitrarily close to H that are not in H (assuming p(L) is dense in p(R^n) is equivalent to this), and I just translated all of them to be over the same parallelopiped
That means that if you take a compact neighborhood of this parallelopiped then it contains infinitely many points which contradicts discreteness of L
Ok I think I get it. But i'm not sure I see where you actually use the fact that there are points arbitrarily close to H
To get infinitely many points in a neighborhood of Q 
But why would that not work if there was some minimal distance between points of L and H
The same argument doesn't work. What I did was take x(n) to be a point of L at some distance between d ∈ (0,1/n] from H
And then all of these x(n) (translated appropriately) are in the closure of the radius 1 neighborhood of Q
But why would the translates still necessarily be arbitrarily close
Oh wait
k is in L cap H
Right
They would be at the same distance from H as the original points because you're measuring distance orthogonally and translating along H
Np
I learned a lot doing this lol
didn't actually need the tube lemma in the end lol
do you think the converse is true? i.e. if H cap L is not a lattice then d(H,L)=0?
just did the proof of tube lemma at the end essentially, but exploiting metric to allow using sequences
Will have to think about that 😵💫
Same
Micael
Tbh i dunno where my question belongs, people said that it should be in differential geometry so i'm posting here. Sry if i'm wrong\
Hello, i'm trying to find the continuum limit of the formula of the laplacian on a grid, that means going from here:\
$\nabla^2 v(\overrightarrow{x})=\sum_{\mu=1}^d [-2v(\overrightarrow{x})+v(\overrightarrow{x}+a\hat{e}\mu)+v(\overrightarrow{x}-a\hat{e}\mu)]$\
To this (admitting an small a):\
$\nabla^2 v(\overrightarrow{x})=\sum_{\mu=1}^d \frac{\partial^2}{\partial x_{\mu}^2} v(\overrightarrow{x})$\
I kinda get the answer by doing the expansion in taylor series (centered in x) of $v(\overrightarrow{x}+a\hat{e}\mu)$ and $v(\overrightarrow{x}-a\hat{e}\mu)$. But then i have this: $\nabla^2 v(\overrightarrow{x})=\sum_{\mu=1}^d v''(\overrightarrow{x}) (a\hat{e}_\mu)^2$, how to manipulate this to get the final answer?
Micael
fixed, heh
i tried copying and pasting my last message and because of discord commands like _x_ things got messy
oh god what is that im geniunely scared to do that math
wait its a both
ok nvm
If I wanted to find the Ehrhart polynomial of
$$ conv{ (0,0,0), (0,0,1), (0,1,0), (0,1,1), (1,0,0),(1,1,0) } $$
I would have
$$ \frac{1}{2}t^3 + at^2 + bt +1. $$ I'm having a little trouble finding $a,b$ and was wondering if someone could point me towards a good direction
beeswax
Bc by Ehrhart's th'm, the leading coefficient of this is just the area, so I am like 90% confident my 1st and last terms are correct
And if I use the 1st dilation and sub in t=1, which would set the polynomial =6, I get a+b = 9/2.
Or I'm just way way off
I can see that n is an upper bound for L (e.g., you can do it with n lines). If you can prove that n is also a lower bound, that it requires at least n lines, then the result immediately follows
Yeah this was my first thought
rip
wait the original n must be even
I'm assuming that condition isn't there for no reason, it might be to eliminate a strategy like this
oh I guess in that case you'd still be able to do n=4 with L=3
Ah, maybe I got it
Nvm, I don't have it. I was doing some bullshit thinking that was nonsense. I was thinking of trying to trim off the edges of a (n+1)x(n+1) square to make 4 nxn squares, then take their intersection to get a (n-1)x(n-1) square and do some kind of contradictjon, but what I was thinking of didn't make sense
Trim off the edges, like eg a [0, n+1]x[0, n+1] square becomes [0,n]x[0,n]
Some days ago I posted this question to the multivar channel, but it never got answered
, so I'm trying here (please tell me if this doesn't fit here)
"Some weeks ago, I encountered a definition of an orientable manifold in the multivar book that i'm reading, the thing is, I can't connect this definition with my intuition of the properties that an orientable manifold will have, like, the fact that clockwise and anticlockwise movement is consistently defined, so I'm asking for any tips, hints, texts to read, or pretty much anything that can help me
This is the def"
So in short, I don't understand why imposing that the jacobian determinant must be positive will "induce" orientability (talking about a intuitive notion of orientability of course), how does it relate?
that makes a lot of sense, I really appreciate it
this feels like it has to be true
Feels to me like the best way to prove it would be to prove that H cap L is cocompact and therefore a lattice if the distance between H and L-L cap H is nonzero
but maybe that's not very productive
actually maybe using the torus could work
that might be it actually
actually i'm not sure if that helps a lot since the quotient can be a bit wack
What exactly am I supposed to do here?
What does it mean when it says consider polar coordinates as a coordinate chart
The map $\phi : (r, \theta) \mapsto (r\cos\theta, r\sin\theta)$ is a coordinate chart.
ryc
for R^2
Oh okay
you have to figure out what the domain is that makes this a coordinate chart
(i.e., diffeomorphism from a subset of R^2 to a subset of your manifold, which is R^2)
coordinate charts are defined on an open domain
Oh yeah my bad
We definitely need R in the first slot
Because the radius can be as much as we want
ignore 0 for now
can the radius be negative?
Oh lmao my bad
We need positive radius
So R+
But we also need all angles between -pi and pi (including those two)
Wait
well
you're choosing a maximal domain such that this is a coordinate chart
you might not be able to get everything in the range
(the point of this exercise is that this is a bad coordinate chart)
Not quite sure if I follow
-pi and pi are the same angle
your coordinate chart won't be injective if you include those
Oh yeah my bad
So I guess it would be like [0,2pi)?
I don't really understand what the manifold in question is
It says the polar coordinates on R^2
But what does that mean?
Oh wait I think I see it
The manifold is R+ x [0,2pi)
With the subspace topology
and I can map this to R^2 - 0
homeomorphically
R^2 - 0 is open
So it it a manifold
Is this correct?
Or am I completely misunderstanding the question
i think coordinate charts have to be between open subsets
Aren't these sets open?
This is open in the subspace topology
And R^2 - 0 is an open subset of R^2
[0,2pi) isn't open in R
That's kind of what I was confused about
What set does it mean by "the polar coordinates on R^2"
right lmao
ok
let me say it this way.
there is a well-defined function R^2 -> R^2 which sends the pair (r, \theta) to the point in the complex plane re^{i\theta}
right?
Yeah, I'm also confused what manifold they are talking about
Yes
What's the topology on the domain R2?
I think that's a part of the question
the standard topology.
Like when it says "what domain do you have to use"
I think its asking us to pick a subset of R^2 which is enough to define every non-zero element as polar coordinates
Import the subspace topology on it
By definition, that subset will be open in the subset topology
And then somehow construct a map onto an open set of R^2 which is a homeo
Then, is it locally euclidean at 0?
yes, both are locally euclidean at every point.
anyway call this function f.
There are some open sets U in the domain such that f restricted to U gives a diffeomorphism U \cong f(U)
But there is no open set around 0 such that a (polar) coordinate chart on it is injective right?
and there are some open sets W in the codomain such that f has a right inverse (a section) on W, a map g : W-> R^2 such that g is a diffeomorphism onto its image and f(g(x,y)) = (x,y) for all x,y in W.
the problem is to find a maximal such W on which f has a section
a hint is that no W can possibly contain the origin
I'm not following this at all. What is the manifold you are considering?
ok let me start over.
Like what is your definition of the "polar coordinate" manifold
yeah.
let's just give the spaces two different names X and Y lol to talk about their functional role. Both X and Y are just R^2.
so X is the "manifold" space we are trying to give coordinate charts for, and Y is the space which is serving as the coordinate plane, i.e. we reduce points in X to elements of Y by means of some local homeomorphism from an open subset X to Y.
A chart for X is an open subset W of X together with a continuous map g : W -> Y which is a homeomorphism onto its image.
Ok. There is a function f : Y -> X which sends the pair (r,\theta) to re^{i\theta}.
A chart g : W -> Y is said to be polar if f \circ g = id_W.
The problem is to give a maximal open subset W of X that admits a polar chart g: W -> Y.
So R+ x (0,2\pi)?
yep! that should work
np i'm glad we figured it out in the end haha
If I have a function f: X --> R^n and for each i, the composition pi_i \circ f is continuous, then f is continuous
Is this true/well-known fact from analysis?
Yeah I'm basically trying to prove that (r,\theta) maps to (rcos,rsin) and it's inverse are continuous
Without doing any calculations
is it?
pls end my suffering
What is it?
lord if i know
this seems fine to me
i take epsilon > 0 and x, find delta_i such that when y is within delta_i of x we have pi i circ f(x) within epsilon of pi i circ f(y), and then i just take the min of the delta_is and use the fact that the distance from f(x) to f(y) is the square root of the sum over i of the squares of the distances from pi i circ f(x) to pi i circ f(y). this says f(x) is within sqrt(n)epsilon f(y). that's fine.
idk what this doubt i was having is...
it is true
it should be iff
that's pretty much the definition of a product
if X and Y are top spaces, then X x Y is a space with maps to X and Y such that a map Z ---> X x Y is precisely the same data as a map from Z ---> X and Z ---> Y
a hyperbola
The xs will have a negative coefficient
A circle
Does the stone-cech compactification have anything to do with stone spaces?
Or, let's be more precise, the stone representation theorem
In stone-cech, the slogan is „points give rise to (distinct) principal ultrafilters, so let's treat every ultrafilter as a point“ if I understood that correctly
Any ideas on how to show smoothness?
this seems like a pretty direct application of the theorem
definitely, there's a lot of connections between them
the categories Set, Top, BoolAlg, and CompHaus are all woven together by a bunch of interesting adjunctions
for one thing, if you have a set X, and you regard it as a discrete topological space, then the stone cech compactification of X is given by looking at all ultrafilters of the powerset of X, so you're first sending X into P(X) in BoolAlg^op and then looking at the functor BoolAlg^op -> CH given by taking ultrafilters
so
and the category of CH spaces is monadic over Sets
The theorem only guarantees continuous differentiability right?
well can you just post it
what is continuous differentiability
there are different versions of the implicit function i guess, the one i learned makes this trivial
superscripts are dimensions
i'm sure these are equivalent but i don't really remember the proofs off the top of my head. the references to 1.33 and 1.30 are about forming slice submanifolds (if U is a coordinate chart, then the subset of U with x1=0, ....xk=0 is a submanifold of dim n-k)
and like
using linear independence of tangent vectors to prove that functions define a coordinate chart locally
We haven't covered tangent vectors yet lmao
groan. let me think
Around every point you can apply implicit function theorem to find a 2D chart
ok. you definitely need to start by proving that the differential is surjective at every point in the fiber
that's not hard
Does anyone know if there's a general way to go from a topological space to a basis for continuous functions on that space?
Examples:
R, C -> Taylor series (or Laurent series)
[0, 1] or S^1 -> Fourier series
S^2 -> Spherical harmonics
That is, is there a general way to go from a description of a space (possibly its homotopy type expressed in some formal language) to a basis for the space of continuous functions over it?
(The C -> Taylor series example only gives holomorphic functions, not all continuous functions, and in the R, C -> Taylor series example there might be a finite radius of convergence, but I'm open to either a more expressive basis, or a restriction to "nice" enough functions for that basis to work. In fact I could have given the Hermite or the Laguerre polynomials as the basis for certain functions on R because those polynomials are orthogonal.)
I think I found a better way
We know that h(x,y)xy= 1 where (x,y) are in a neighborhood around (a,b) for some point (a,b,c) in the level set
And f(x,y,h(x,y))=0
Thus, x or y cannot be 0
So we get h(x,y)=1/xy
This explicit formula does not depend on the choice of (a,b,c) in the level set or the neighborhood around it
So we can simply glue this collection of h to a function from R^2 - (the coordinate axis)
and it will be h*(x,y)=1/xy
This is smooth on R^2 - (the coordinate axis)
@plain raven Do you think this works?
yeah, you just showed that φ(a, b, c) = (a, b) is a chart on the entire level set
^
Surely you can only construct a basis for continuous functions into a vector space
?
Dummy question, how do we define a line in finite fields?
One dimensional linear subspace
so there are no lines that don'( pass through the origin?
I'm basically trying to make sense of this, in projective geometry
does anyone have an idea what the "obvious matrices" here are? I'll type up the extra terms after posting this image but this is from page 248 of Lectures on Morse homology by Banyaga and Hurtubise
For the $Y_{r,s}$ matrices, we define $Y_{r,s}(z)$ to be the matrix in $\mathfrak{u}(n+k)$ with $z$ in the $(r,s)$ entry, and $-\overline{z}$ in the $(s,r)$ entry, and zeros everyhwere else.
lime_soup
$U(n+k)\cdot x_0$ is the orbit under the adjoint action not just $U(n+k)$ multiplied by $x_0$.
and $N(U(n+k)\cdot x_0)$ is the normal bundle of $U(n+k)\cdot x_0$ so $N_{x_\sigma}(U(n+k)\cdot x_0)$ should be all the points normal to $U(n+k)\cdot x_0$ at $x_\sigma$?
lime_soup
@eternal nimbus hey what text are you using for projective geometry
I tried to learn some synthetic projective geometry last year but it didn’t fully click
Hausdorff
I checked F(x,0) = k(h(x)) and F(x,1) = k'(h'(x))
but how do I show continuity of F?
It's a composition of continuous functions
$H: x\mapsto H(x,t)$ is continuous. $\pi_2: (x,t) \mapsto t$ is continuous. $F = K \circ L$ where $L: (x,t) \mapsto (H(x,t), t)$. Why is $L$ continuous?
Hausdorff
Hausdorff
yes
something like that, don't feel like verifying this lmao
but x,t maps to H(x,t) and x,t maps to t are both continuous
so their product is
The you compose with K
what do you mean?
Any ideas for (b)? Here's what I'm thinking: Consider two paths $f: I\to Y$ and $g: I\to Y$ in $Y$. Join $f(1)$ and $g(0)$ by a path $h: I\to Y$, $h(0) = f(1)$, and $h(1) = g(0)$ (since $Y$ is path-connected, we can do this). Now we need to find continuous $F: I\times I \to Y$ such that $F(y,0) = f(y)$ and $F(y,1) = g(y)$ for all $y\in I$.
Hausdorff
Umm. does this hold in particular for path-connected spaces or in general?
Hausdorff
but I wonder how that helps our problem
Oh actually it looks like the solution is much simpler
Hausdorff
Sorry for asking trivial questions but I've just started self-learning algebraic topology
I am wondering if we can concatenate homotopies, the way we concatenate paths? The definition seems immediate.
Nobody
Yep thanks!
Hausdorff
The latter looks cleaner and more convenient
and you can see how this generalizes to finite products of length (ns, ns-1, ns-2, ... so on)
Hausdorff
It's really basic stuff, it's the undergrad Nigel nitchin lecture notes that you can find on his site
@vast estuary if you have a homeomorphism f: X → Y, and A is a subset of X, then f|_A : A → f(A) is also a homeomorphism
Summarised as restrictions of homeomorphisms are homeomorphisms, with the understanding that you restrict both the domain and the codomain
Hausdorff
Is p a homeomorphism tho?
I've never thought of a covering space as a homeomorphism so this seems a little strange
Thanks, that explains a lot l
In particular I thought every such compactification would work with Ultrafilters; thale fact that it is specific to discrete spaces makes the connection clear
When you say „over sets“, are you talking about specific properties related to the adjoint pair forgetful |- discrete top?
I only know that a monad is an endofunctor, I'm not sure what this has to to with that full subcategory CHaus
It is, when restricted to V_alpha
time for a new question i'm struggling with. Half thinking out loud here but so far it's stumping me
So as always we have a lattice $L$ in $\mathbb R^n$, and we consider its klein polyhedron, that is, $K=\text{Conv}(C \cap L - {0})$ where $C$ is the positive orthant. We then define the sail as $S = \partial K$. Now, I want to know if the lattice points on the sail always span the lattice
ShiN
intuitively, I wanna say of course
in 2d it's easily provable
I tried tackling the problem with induction but reducing the dimensionality always requires some quotient or projection, which the boundary does not play nice with
it's led me to ask some questions about how the sail of a sublattice relates to the sail of a lattice
I also know that the extremal points of the klein polyhedron (Which are all in L) span (in the sense of a convex hull) the klein polyhedron, but I don't think that helps me much
Once you fix a lattice there's not a lot of things i've found you can say about the lattice points on the sail
If there is a counterexample it has to be in at least R^3, where it's much harder to calculate the sail in general
Something else that may help is a sufficient and necessary condition on lattice vectors to be a basis for the lattice
but the arguments i've been able to come up with are a bit circular
the reason I feel like induction might work is that if the lattice satisfies some condition (namely that the intersection with all hyperplanes where one coordinate is 0 is trivial), then every lattice point on the sail should be able to be completed to a basis for L
since i'm pretty sure it's primitive (That is, there is no $l$ such that $\frac 1 l v \in L$). Although I haven't proven that yet
ShiN
I anti-enjoy thinking about a proof of the excision axiom
same
That 4 page Hatcher proof scarred me 
Can an affine curve over an arbitrary base field not be finite for whatever reason?
That is a classic proof for any good lecturer to give a sketchy proof for
the correct way to prove excision is to simply dare people to prove you wrong
Proof by “find a counterexample”

The pit that the Riemann hypothesis is currently lying in
I wonder if DVRs can never be finitely generated over any field
thats kind of fucked up
So true!
I think the argument being used here is that finite morphisms of curves are surjective because non constant morphisms Y -> X correspond to inclusions
but like
for Y -> X to be non constant you need Y to be infinite
and i dunno why an arbitrary affine curve has to be infinite
yeah this is really interesting... this is a bit much to get into right now but i'd be happy to get into it some other thing. suffice it to say that one can reconstruct the category of compact hausdorff spaces from the endofunctor on Sets that results from composing the adjunction T : Sets -> CH -> Sets, together with certain distinguished natural transformations id_Sets -> T and T\circ T -> T. this is a result of E. G. Manes
I think it was probably Lawvere who first pointed out that using these "Monads" on the category of sets, one could give like, a somewhat categorical treatment of universal algebra, basically the endofunctor T might send a set X to the set TX of all terms in the language of group theory with coefficients in X, modded out by the equivalence relations that occur in the free group. then X is a group iff there is an interpretation map TX -> X sending each word in the formal language to the thing it's supposed to denote in X. this interpretation map has to satisfy certain laws, of course
but this gives a general schema for talking about categories "algebraic over sets", once you understand the basic idea it's not hard to prove that groups, rings, R-modules for a given ring, etc are all "algebraic over sets" in the monadic sense
and a category of algebras over a monad has certain nice properties, for example the forgetful functor Alg -> Sets creates limits, so that whenever you have a diagram D in Alg, D has a limit and the limit is computed exactly the same as it is wrt the underlying sets
so it was really shocking when Manes pointed out that CompHaus is monadic over Sets, because in what sense is topology "algebraic"? essentially the map sending each ultrafilter on a CH space X to its point of convergence satisfies similar associativity and unit laws to algebraic term evaluation
very cool
but yeah you can think of a monadic functor as a special kind of forgetful functor with a left adjoint that has better free-forgetful properties than an arbitrary adjunction. i think probably like, the usual hom-tensor adjunction on R-mod is not monadic, for a counterexample, i mean i'm just guessing here tbh but that's my intuition, a monadic adjunction should look more "Free-forgetful" than that
manes' book on universal algebra via monads is pretty readable, modulo some ancient notation and composition of morphisms from left to right lol
the beginning of my second course in algtop seems to start with it
tomorrow at 9am
me listening to someone do subdivision
painful
is subdivision a functor SSet -> SSet
if so is there a nice way to describe it in some abstract-nonsense way
I think barycentric subdivision is such a functor but it’s not like particularly nice afaik
Like for example for certain theorems you need to apply it twice
bs
is the map Set -> CHaus here the Stone-Cech compactification of the discrete space on the set?
Keith Elliott Peterson
pi_{q+1}(M) = maps(S^{q+1}, M) = maps(S^q, maps(S^1, M))
by the smash product hom adjunction
maps(X smash S^1, Y) = maps (X, maps(S^1, Y))
yes
you can write down the maps pretty easily
yup
yeah it's true for any triple of spaces
idk why I wrote it down for just S^1
yeah yeah
nice spaces
point-set problems 
Is there a good description for the maximal atlas defined by the identity on the real numbers?
It should contain all linear functions on R
But is that it?
I'm not really sure what you're asking. Isn't this maximal atlas just the usual structure of R?
Yeah
Like take the chart (R, id)
It is contained in some maximal smooth atlas (because it is tautologically smooth)
What do elements of this look like
I think it should be linear functions on open sets of R
(locally linear?)
But that would imply globally linear
So its just the linear functions on R
What do elements of the maximal atlas look like?
Any diffeomorphism between open sets of R works right?
Do you know what the result is?
Like what is a good description of the standard maximal atlas on R
Ummmmm
A counterexample to what? maybe I'm misunderstanding something here
Oh thats just with identities as the transition functions
I feel like something like x maps to x^3 + x should also be in the maximal atlas
Keep in in mind $x\mapsto x^{1/3}$ is not smooth
Oatman
Zoph you know how every smooth atlas is contained in a maximal one right?
Right I get that
So take (R, id)
You're asking what elements of the maximal atlas look like
I get that, I'm just not sure what meant by x -> x^1/3 is a counterexample
Oh wait my bad
Yeah, like Oatman said, this isn't smooth
Okay
I think the example I gave of x maps to x^3 + x is okay though
its smooth and has a smooth inverse because its derivative doesn't vanish
I think your answer that its the set of all diffeomorphisms is kind of a hack though
Because that's like the definition
I think the point is it kind of doesn't matter
We generally only care about the explicitly given generators of the maximal atlas
That's true, I mean you could phrase it as the set of all infinitely differentiable bijective functions with infinitely differentiable inverse from one open set to another
That one exists is just nesseccary to move on to the meat of the subject
Lmao maybe I should write that on my hw
Oh is this a homework question lol
"You're not asking the right questions"
And get administratively dropped from the class
Yeah I agree this is a weird question to ask
But I don't really know of any better answer than what I said
Fair enough
I'm just gonna say your answer
And maybe that it includes linear functions cause those are particularly nice
bunkermush
the stereographic projection is defined using two charts right
Yeah
this is asking if the transition map is smooth
I did that part
I don't know what it is referring to when it says the projection onto the corrdinate hyperplanes
I can't think of any chart from the sphere to R^n which is not a translated stereographic projection
So I don't know what charts it is referring to
hyperplane is the subspace that is like, one of the coords is 0. ig they want you to basically forget one of the coordinates of your sphere and use those as your charts?
But those aren't charts
Because the range won't be open
For example, in if we take the S^2 in R^3 and project it onto the xy plane, we would get the closure of the unit circle in R^2
Unless...
hmm
We remove the part that intersects with the xy plane
maybe they mean like
pick a nbd around a point and project it down to hyperplane
theres some nbd that is homeo to this projection
and these are your charts?
I mean it will be the same smooth structure regardless right
on $S^1$ you have an atlas given by the four charts
\begin{itemize}
\item ${(x,y)\in S^1:y>0} \to (-1,1)$, $(x,y)\mapsto x$,
\item ${(x,y)\in S^1:y<0} \to (-1,1)$, $(x,y)\mapsto x$,
\item ${(x,y)\in S^1:x>0} \to (-1,1)$, $(x,y)\mapsto y$,
\item ${(x,y)\in S^1:x<0} \to (-1,1)$, $(x,y)\mapsto y$.
\end{itemize}
the maximal atlas determined by this one is the smooth structure on $S^1$ they're referring to
TTerra
generalize to arbitrary n appropriately
Yeah I think that's what I realized in S^2 and R^3
Thanks
Is there a way to do this problem without working with the cases where the north pole is or isn't in the covers separately?
is there a natural way to extend the metric space of compact nonempty sets given by the hausdorff distance into a topological space of all closed subsets?
actually in general
is there a way to take a 'metric space' where the distance can be infinite and turn it into an actual metric space
Discrete metric 
Oh wait extend
I'm guessing that will enforce pseudometric at the very least
Does "set of all (U, f_U) where f_U is a diffeomorphism U → V ⊂ ℝ" not work?
the metric does distinguish points, the problem is some sets can be infinitely far away
I don't care if it's entirely a metric space but I want it to generate a topology
oof I see, closed sets
hmmm
that could work
I thought of that too
I just don't know if it'll fully model the relationship between the sets
What do you mean by that 
Do you want the nonempty compact subsets to form a subspace of this
They should be
I think they will
Yeah
idk honestly, i'm just taking shots in the dark here
would this be metrisable?
it'll at least be sc hausdorff I think right
Yeah
I think it should be metrisable according to urysohn
like it should be T3 cuz it sort of has an underlying metric space structure
Seems legit 
where's the cat in that emote

lmao
ok turns out metrics with infinity is like, very legit
and also has very nice properties
like breaking down into a disjoint union of regular metric spaces
which are called 'galaxies' lmao
also my bad it's not sc
only fc
oh right
Unironically great terminology
Analysis channel is above this one rice
lmao
actually you can also always bound your metric by composing it with some increasing nonnegative function with a finite limit
but I feel like this would be less interesting
feels like you're losing information to conform to the usual definition of a metric
Would you retain triangle inequality?
Yeah

metric spaces are analysis, analysis channel is above this one shin

they're just a special case of this channel though /s
I feel like you should be able to do this via the homeomorphism [0,∞] -> [0,1]
Hello. How can one intuitively find open sets of a torus as a quotient space of a rectangle?
open sets of the rectangle which have the property that whenever they contain a boundary point they also contain the point opposite to it
ie open subsets saturated wrt the quotient map
which is the definition of the quotient topology
So ...?
easy trivia time just to see if i'm right. Projective transformations are defined by linear transformations with 0 kernel. So if
$T:V ->W, T(v)=w$
such a linear transformation, then the projective transformation is simply
$\tau:P(V) ->P(W), \tau([v])=[T(v)]=[w]$
Where [v] are homogeneous coordinates
PCR_Anibal
(i give up on the spacing, sorry if channel is busy, there are not "geometry 2" x) )
The open sets of the torus are the images of the saturated open sets under the quotient map
Ok. But, how to visualize them? I know the open sets of a rectangle and know the quotient map, but I cannot find their images on torus.
oh for visualisation it's better to view it as a subspace of R³
It has the subspace topology
Around each point the small neighborhoods just look like small open disks on the surface
One open subset of the unit square [0,1]^2 is a semicircle centered at the point (1/2, 0). This semicircle has boundary, part of the bottom edge of the square.
This is not an open subset of the torus. If we wanted it to be an open subset of the torus, we'd need it to spill over the top edge of the square.
Like Moldi said, mathematically, this means that whenever we have a point on one side of the square in the open set, we need to have the corresponding point on the other side.
And having that point necessarily means having a blob around that point.
The images aren't that hard to visualize actually, like you know how to roll up the square to form the torus? Just draw whatever saturated open subset of the square, then roll it up and that drawn thing is the open subset of the torus
So you can think of open subsets like balls that slide around the square, but when they go out one side, they come back in the other (sometimes being split into what looks like two pieces - actually, it's one piece because of the quotient stitching it back together)
I did that, but I could not find them.
Roll up a piece of paper into a torus, draw an open set on it then unroll
Very hard to do given the curvature of the torus 
It can be donr
not living in R^4
Ok maybe you.need more flexible paper
You mean in practice, or in mind?
#sponsored
Good enoigh
Nice wristband bro
Wristbands are just tori anyways
enjoy this gorgeous rendition of an open set on a torus
the light red interior is the open set
the boundary isn't included
Why is the boundary included
but! it does include the bits of the boundary of the square that it looks like it should include
yes
Reminds me of the sistene chapel
i just didn't want to waste time drawing that
You stop shilling for ms paint
I'd rather not tyvm
anyway i could also have drawn one in the corner, and then it would go into all 4 corners
You mean I should first find the saturated subsets of the rectangle and then find the images of them?
idk what saturated even means
Yes
It means f^-1(f(A))=A
Saturated means things going to the same image are all in the set
subsets of Rectangles for what?
Or all not
to me it's just "find the sets in the quotient space which pull back to open sets in the rectangle
Ok. What are the saturated subsets of the rectangle?
well, the quotient map pulls back points on the boundary to two points
so you need open blobs around both of those
Whenever a set contains a point in the boundary it should contain the point opposite to it
And what are the images?
But in that case a T-algebra would consist of a map (underlying set of stone-chech of the set X)→ X… how can that be interpreted? it seems to me like a somewhat arbitrary thing to look at, to play the devil's advocate here
Roll it around 😌
Like can't really give a better description
Just roll the square like you do to get the torus
And see where the stuff you've drawn ends up
In mind?
Yeah
I did that, but I could not because I was confused.
it sends each ultrafilter to its unique point of convergence
Just see how it behaves under roll
it's the evaluation map that sends the filter to its unique limit point
This is a very natural idea to me given that classical algebras are about „construction“, ie taking things of the form (a₁,a₂,…) to things in your structure; iirc this is the prototypical example of (polynomial functor)X→X, right?
I've never seen this applied in any topological context tho
i'm so stoned man
Ok. Thanks. Let me try aging for nth time.
you could do this with polynomial functors or you could form the free term algebra in the language
But a non-principal ultrafilter in βℕ does not have a limit in ℕ, so how can we build a map → ℕ here
it's not a compact hausdorff space so it doesn't have an algebra structure 😦
if X is a set, then a T-algebra structure on X is exactly the same as a compact hausdorff topology on X
Hmm… but what if we take βℕ→ℕ to be constant ↦0?
this is what i mean when i say that working in the category of sets we "recover" the CH spaces
what CH-structurc should that induce
ah yeah
Or is this a bialgebra thing because we want it to be compatible with the embedding X→βX
sorry it's not enough space to explain all this stuff so i just dropped a bunch of details. the T-algebra structure map has to satisfy certain diagrammatic laws. for any set X whatsoever there's a canonical map eta : X -> TX (sending x to its principal ultrafilter) and also another map mu : T(T(X)) -> T(X) which is a bit harder to describe. in order to say that a map h: TX ->X is a T-algebra it needs to satisfy certain coherence conditions wrt eta and mu
namely
$$h\circ \mu = h\circ T(h)$$
$$ h\circ \eta = \operatorname{id}_X$$
Oh right we don't hay “arbitrary T-algebra“ bbut “monadic T-algebra“ (not sure if the right nomenclature)
diligentClerk
no need to be verbose, I know what a monad is, I just forgot we care about this here
in how far
we never should have called an arbitrary map TX -> X an "algebra"
that's undeserving of the name algebra
it is so minimal in its structure
that it's not even worth giving a special name to
I guess I'd believe you more if I knew more examples, I've seen TX→X rarely pop up
…but I suspect that's just because I'm not trained to seeing such monadic structures in non-abstract-nonsense settings
So you see it kinda as undeserving as calling an adjunction a „generalized galois connection“, a reflective subcat a „generalized closure operator“, and a cat a „generalized poset“? is that the right ballpark?
oh right I see now how we get an η: X→βX (inclusion) and a μ: ββX→βX (as all ultrafilters in βX are principal, right?)
i think calling cats "generalized posets" and adjunctions "generalized galois connections" is fine if you're teaching category theory and want to start with the easiest examples first
but everything you named has a lot of structure to it
a map TX -> X is just not a lot of structure, i'm just complaining because math already has overloaded the word "algebra" pretty heavily and maps of the form TX -> X are totally ubiquitous, you could call everything a functor algebra at that rate
i don't remember exactly what mu does.
my brain shuts down around the third iterated powerset
Ah, I see. So the wording it's sorta-correct but does not hit the nail on the head so to say
that's a good way to avoid set-theoretic issues lmao
it happens in topos theory too tho
this is a nice segue
in any topos you have a contravariant powerset functor which sends f : X -> Y to f^{-1} : PY -> PX
and it turns out that
well
this gives an adjunction between E and E^op
so the composition PP : E -> E is a monad
so that's pretty cool
That seems pretty obvious on first glance
it turns out that the algebras of the monad PP are exactly powersets, i.e. sets of the form PX
and the only maps PX -> PY that are compatible with the PP-algebra structure are the ones of the form f^{-1} : Y -> X
like, toposes are a generalization of sets generalize the notion of „subset“ if i understood stuff correctly
so the opposite category of E can be realized as the category of algebras of this monad, up to equivalence (replacing X with PX and f :Y-> X with f^{-1} : PX -> PY)
okay, that seems less obvious
which is wild to me
and as a consequence, like i said before, monadic forgetful functors have really good properties, you can lift limits along them (they "create" limits)
Okay I think we're wildly off track considering this is #point-set-topology but I guess so far nobody has complained yet
but yeah so like
the forgetful functor E^op -> E creates limits, so that means if you have any diagram in E^op, you can project it down into E, compute the limit there and lift it back up
but a limit in E^op is a colimit in E
Is it fine if I ask a basic question real quick? 👉 👈
it follows that if E has all limits (or all finite limits) then E^op has all colimits (or all finite colimits)
that's the end of my rant go ahead
toposes have all finite limits as an axiom, so this proves they also have finite colimits necessarily
So Hatcher says this: We can decompose the Klein bottle K as the union of two Möbius bands A and B glued together by a homeomorphism between their boundary circles. Then A, B, and A intersect B are homotopy equivalent to circles..." I don't really see how A intersect B can be homotopy equivalent to a circle
I found this picture online because I was struggling with the visualization and from this is seems that A intersect B should be empty
(this pic is not in Hatcher btw)
Because A intersect B is the two dashed lines in the left half
and if they are precisely symmetrical then the right boundary point of the lower dashed line is glued to the left boundary point of the upper dashed line
because you glue the sides in reverse order
aaahh yeah okay I see. Thank you so much!
lmfao discord knows sed-style s/pat/subs/ expressions
oh NOW I actually got it, because we're in a topos setting we don't leave the category when going to the power set
that's where E^op comes into play
yeah this is all internal, $A\mapsto \Omega^A$
diligentClerk
schweet
sorry lol
what a to-positive feature
it's so weird
i was just thinking today about how grothendieck topologies on a category can be expressed as a kind of closure operator
and just like a galois correspondence is a special case of an adjunction, a closure operator is a special kind of monad
i don't think i fully understand what it means to take a 'monadic' pov towards these things tho
which is why i was thinking about it
@empty grove I've been thinking about the converse of the problem we talked about a few days ago (In fact a slight generalisation of it) and I think I (almost) have it, I just need a bit of help with one last thing. So the generalised version is that given some linear transformation $T:\mathbb R^n \rightarrow \mathbb R^k$, and some lattice $L \leq \mathbb R^n$, then $\text{ker} T=H$ is rational iff $T(L)$ is a lattice in $\mathbb R^k$. So i'm trying to prove that if $T(L)$ is a lattice, then $H$ is rational. I'm trying to prove this by the contrapositive, so i'm assuming that $H$ is not rational, and I wanna prove that $T(L)$ is indiscrete. This boils down to proving that the distance between $L - H \cap L$ and $H$ is 0 (That is, there are arbitrarily close points to $H$ from $L-L \cap H$). $$\$$
So suppose $H$ is not rational, then $H\cap L$ is free abelian of rank $< \text{dim}H=k$, then let $v_1,\ldots,v_k$ be a basis for $H \cap L$, and let $w_1,\ldots,w_l$ be a basis for the orthogonal complement of $\text{span}(v_1,\ldots,v_k)$ in $H$. Then note that $\text{span}(w_1,\ldots,w_l)=W$ is totally irrational with respect to $L$ (That is, $L \cap W = {0}$). Previously i've proven that the lattice is asymptotic to a totally irrational space (I've technically only proven this for a hyperplane, but I think the proof is similar in this case). $$\$$
Here's the problem, intuitively since $W$ is orthogonal to $H \cap L$, it seems to me that the points of $L$ arbitrarily close to $W$ should be coming from $L - L \cap H$, but I'm not sure how to justify this.
Wow sorry for the super long post
ShiN
I've thought about whether the „specialization preorder“ endofunctor gives us a monad but it isn't since the identity X→SpPr(X) is not continuous (the open sets on the right are the subsets of X upwards-closed wrt x₁≤x₂ iff cl(x₁) sub cl(x₂), and as a counterexample to continuity take a closed point in some space that is not isolated)
hm, can't we topologize a preorder as well by taking the upper sets to be closed? perhaps it works then idk
My bad I meant that rank(H cap L)=k, not dimH.
(My motivation here would be that if it worked, I would wanna see what the „algebras“ SpPr(X)→X would look like – in the alexandroff case that would have to be the identity since SpPr(X) should carry the same topology iirc, but non-alexandroff cases would interest me)
posets does not sound right as the cardinality of indistinguishable elements per equivalence class matters
(think indiscrete of different cardinalities)
same poset (as the preorder quotient), mirorring the fact that they have the same T0-quotient (point)
@swift fjord take a neighborhood of 0 in H, that doesn't contain any other points of L (discreteness of L in H) and then W x that neighborhood should work as a neighborhood of W not containing any non zero points of L cap H?
(anyway, should be the same construction)
you're saying that for any nbhd of 0 that doesn't contain points of L cap H, W x that nbhd won't contain nonzero points of L cap H, but should still contain points of L because of what I said?
Do you think it would matter if I took some random complement instead of the orthogonal complement?
Yeah it should contain points of L assuming what you said
hmm I don't think so
I don't think so either but it's hard to visualise
since very quickly we go past 3 dimensions
lmao
Lol yeah
But shouldn't be hard to prove algebraically
That neighbourhood x W is open because both these sets are, and it only intersects H on (that neighborhood x 0)
So is disjoint from H cap L
wait why is W open
oh wait no whoops
no but you could take a nbhd of 0 inside span(v_1,...,v_k)
and then do $$\bigcup_{x \in W}x + N$$ where $N$ is that nbhd
ShiN
Yeah isn't that span just H
we're assuming that H cap L is of lower rank than dimH
Yes that is what I was doing lol
oh shit yeah H cap L
Not H
yeye
the contradiction comes from the fact that a subspace that is not rational will contain some completely irrational space
Looks like a sheared cylinder, must be open 
Yeah true
alright cool, thanks!
finally done with something at least
now onto the hard questions
oof
very oof indeed
Well, after so much hard work on that, i can throw an easy question on the mix?
don't this statements...contradict each other?
I though to post in in linear algebra, but dunno if be being a projective space it changes anything
Surely they mean linearly dependent? The line above literally says c'' + a'' + b'' = 0
unless i'm going crazy, or this is all different in projective space
it's weird
they also say afterwards that the 3 points lie in a 2d subspace of V
which should make them dependent
wait this doesn't actually work since this way we're staying inside of H, but the points in L will have to be outside of H by assumption, so this doesn't actually help us. and if we take a random open ball in R^n around 0 that doesn't contain points of L cap H, i'm still not sure I see why W + that ball will also not contain any
We can take the subspace H
And if W is not arbitrarily close to L - 0 in this subspace
It is not in the original
wait yeah you're right
but then i'm still not sure i'm convinced why H doesn't intersect W + ball in H
H does
H cap L doesn't
Because H cap L = span(L) cap L
W + ball in spanL cap H cap L ⊂ that ball cap L = 0
Oh we take that ball in span L
I must have written down H earlier
Because I confused notation
The cylinder is in H
oof yes
but i'm not sure if we take the ball in H or in span H cap L
So many caps 🧢
lmao
I'm taking it in span of H cap L
alright, figure it out, the idea is that they're linearly independt 1 to 1, a from b, b from c, c from a, but all together you have that one is a linear combination of the others, so they are in a subspace of dimension 2
And then adding W should give cylinder in H which is open in H and it's intersection with span H cap L should be that ball which doesn't intersect H cap L
And other parts of cylinder certainly can't intersect H cap L
i
i'm not sure if it's necessarily a cylinder. What if span H cap L is of lower dimension than W
Yeah I mean that's just an analogy
But the point is that its intersection with span H cap L should be just that ball again
ok wait yea it doesn't matter
this feels like it should be so trivial but i'm not sure how to show it algebraically
Because they don't lie in span (H cap L) 
So, a bit of clarification question if anyone could help me. Consider the projective plane and isomorphism $P^2(F_{2) \simeq F^2_{2} \cup P^1(F_{2)$ If i understand correctly, this is like seing it as the plane + a line at infinity right? But...how do i know which/how many points are there?
PCR_Anibal
What are you asking? Are you asking how many points are at infinity and which ones they are?
@eternal nimbus
Yes 🙂 and the method. I have the answer sheet but it only says "3" without explaining what or how x)
I mean it depends on what the field is
The idea is that P²(F) has elements that look like [x:y:z] right?
By scaling z appropriately, you can make this become [x:y:1] or [x:y:0] depending on whether or not z is non zero
The elements that look like [x:y:1] are a copy of F^2_2
And the elements that look like [x:y:0] are the points at infinity
F is finite field of 2 elements, sorry
So given that F has two elements, I would write out all the possible points in homogeneous coordinates
So my points at infinity would would be [0,0,0] [0,1,0] [1,0,0] ?
[1;1,0]
right, i completely forgot about (1,1) being there so i was like "uh..answer was three and thats the last posibility" x)
Right, thank you both!
...dimension of the empty set -1? WHAAAAT
the dimension of the projective space of lines through the origin of the vector space V is dim V - 1
setting V = the zero vector space, dim V = 0 and so the dimension of the empty projective space is -1
😉
you see this in singular homology too, reduced homology is just the homology when you include the set of maps from the empty simplex into the chain complex (the -1 dim simplex)
ohhh that makes sense thank you
Its also how you define the base case for inductive dimensions
what's the inductive step
You say that a space X has inductive dimension less than or equal to n if for each open U in X its boundary has dimension less than or equal to n-1
So a singleton has dimension 0
A line segment has dimension 1 because all boundaries of open sets are discrete or empty
ect .
Don't you have to assert that empty set has dimension -1 here anyway
Oh i didnt read up enough, whoops
Do the polar coordinates and Cartesian coordinates determine the same smooth structure on R^2?
I'm pretty sure they don't, but I can't find a counterexample
Ping me
how does one deduce that $\pi _1 (X \times Y)\cong \pi _1 (X) \times \pi _1 (Y)$ using Van Kampen's theorem?
bert
A Concise Course in Algebraic Topology-J. P. May says that it is immediate from universal property of products
Ye van kampen would be weird to use here
Since no pushouts are involved
Why do you want to use van kampen 
because of this note basically. I want to see how this works. I know the simple minded proof of this fact.
Wait van kampen and universal property of products are completely different things
yea van kampen is all about coproducts (colimits in fact)
Yes
And I don't see any way of using that here but there's a way to use the universal property of products
So you can construct some natural homomorphisms both ways
And they will be inverses
And to construct them you use the universal properties of both product groups and product spaces
I see so it has nothing to do with van kampen. We use that pi _1 is covariant functor and universal property of products that gives us one way morphism
I got the other way morphism as well
Great now you just need to show that both compositions of these 2 are identity
nice then the uniqueness from the universal property will give the compositions are id
Any way unless X and Y are path-connected you still need to specify their base points respectively…
This should be true for fundamental groupoids too I think
Which would allow omitting base points
Yes I think. Because otherwise the functor pi _1 wouldn't make sense
@coral pawn Polar coordinates aren’t bijective in R^2 because of the point (0,0)
it wouldn't be easier to omit the basepoint here i think
because you would just need to prove the lemma about path homotopy here for an arbitrary pair of points in the space rather than ... for an arbitrary but fixed basepoint in the space
idk
Isn't the first function just (x,y)? It doesn't matter what the values of z are since the function doesn't even include them.
so Hatcher has just derived this exact sequence
and now he gives an example. Where does the sequence 0->Z_2 -> H_1(Z) -> Z -> 0 come from?
Where does Z_2 come from?
Hatcher writes a 2 above the arrow that goes from the integers to the integers and I assume that it means a map f(x) = 2x because 1-g_*(x) = x- -x = 2x. But then he also writes a 0 in the map in the right which I don't understand. Shouldn't it also be a 2 instead of a 0?
It comes from the exact sequence in the diagram
You have the exact sequence
0 -> Z -2> Z -> H_1(Z) -> Z -0> Z
Once you quotient the second Z by the image of the first Z you end up with
0 -> Z_2 -> H_1(Z) -> Z -0> Z
Then since the last map is the 0-map the kernel is all of Z
Then since the image of H_1(Z) is the kernel of the next map, that map H_1(Z) -> Z is surjective
This gives you
0 -> Z_2 -> H_1(Z) -> Z -> 0
Does that make sense?
okay wait, what does Z -2 mean?
Sorry
That just mean
The map defined by •2
I put it inside -> to be the name of the map haha
-2> meant multiply by 2
Similarly -0>
Is the 0 map
Minus 2 is greater than Z.
hmm I don't really understand this step. Why can you just quotient out by the image?
Because of exactness
So the map Z -> H1(Z) leads to an injective map Z/kernel -> H1(Z)
But the kernel is the same as the image of that last map
And the image is 2Z
yeah okay I see I see. But why is the last arrow the 0 map? Shouldn't it also be just multiplying by 2?
so like here, the last map is 1-g_*. So it is defined exactly like the left most map, 1-g_*. But even though they are the same, one map is multiplying by two and the other one is just the 0 map lmao
yeah I guess 
Like the way you identify H0(S1) with Z and H1(S1) with Z is different
So I guess g_* acts differently
If 1 - g_* is 0 that means g_* acts as identity on the 0-th homotopy group
So maybe try to see why that’s the case?
yeah okay. Thank you so much for the help, I appreciate it! 
Chmister commutative algebra
Didn't get your question. You're asked to find the image of U1 under psi1 and psi1 inverse
You want to find the set, the fact that z > 0 and the constraint that x^2 + y^2 + z^2 = 1 means the image won’t just be all pairs (x,y). For example (2,0) will not be there
Tfw Moldilocks hahahaha
THEY CALL ME MISTER HOMOLOGICAL ALGEBRA
wait wtf, how do you "calculate" the homology H_1(M, \partial M) with M the Möbius strip using the cellular boundary formula?
I'm looking back at old examples and now I just don't understand them
So Hatcher writes this: In the simplest case of the degree 2 map S¹→S¹, z →z², this says that the Möbius band does not retract into its boundary circle. So here we would have an exact sequence: $$0 \to H_1(\partial M) \to H_1(M) \to H_1(M, \partial M) \to 0$$ that splits and so $H_1(M) = H_1(\partial M) \oplus H_1(M, \partial M)$ and I know that $H_1(M, \partial M) = \mathbb{Z}_2$ since if you contract the boundary to a point you get the real projective plane. But now I don't see how the degree 2 map is being used here
Tokidoki ✓
So basically, how do you know that H_1(M, partial M) is Z_2 using the cellular boundary formula?
I'm constantly having massive brain farts
Does it even make sense to "calculate" relative homology with the cellular boundary formula?
ahhh this is just so frustrating
Can't see how you'd do that 
Maybe first compute absolute homology then do long exact memes
First step could use cellular homology
But why do you want to use cellular homology for this?
because hatcher writes something about the degree two map from S¹ to S¹ and I assume that it has something to do with cellular homology
so if you look at page 148, the diagram there says that H_n(M_f, S^n) is Z_m
and I can swear that I wrote something down on my paper that clarified this but I can't find it
and now I don't understand this
Degree don't have anything to do with cellular homology 
Degree 2 map from S¹ to S¹ means the map which goes around the circle twice
Degree of f: S^n to S^n is f*(1) where f* is the induced map on the nth homology and 1 is the identity n-simplex on S^n
He so I'm having some trouble understanding what this question is asking: "Prove the identification of points at opposite ends of diameters on the boundary of the circular disk D^2 defines a 2-manifold". What does this mean by "identification of points at opposite ends of diameters"? Best I could come up with is that we're working on D^2/~ where x ~ y iff x and y are opposite boundary points, but that doesn't make much sense
so start reading at "for a somewhat more subtle...". How does Hatcher know that the homology group of that big thing is Z_m?
x ~ y iff x = y or x and y are diametrically opposite
But then isn't it basically just the top half of the unit disk?
Oh so like it's a circle with the boundary only on the top half?
Well it won't be that exactly
Because if you exit from the bottom you should re enter from the top
It's a very weird thing which I don't think can be visualised in R³
but idk
ok so now I'm even more confused, cause the assignment's hint tells me to re-write it as the closed unit disk {(x,y) in R^2 | r <= 1}
oh wait
I must be wrong then 
"with opposite boundary points identified" lol
nah you're right
I missed that part
yeah I guess I see that
Now use exactness 
This short exact sequence is part of the long exact sequence for the pair M_f, S^n
yeah okay I see lmao
Nobody
so you can restrict the last map so that you can replace H_n(M_f, S^n) with Z/mZ right?
quick question: does "diametrically opposite" mean they are both on the boundary and are opposite of each other, or just opposite to each other?
I used it as the former, idk what it usually is actually 
ah ok. thanks
wait is the map H_n(M_f) to H_n(M_f, S^n) surjective?
A → B → 0 being exact at B means that the first map is surjective 
thank you!
ah yeah of course
man
I can't do this shit
okay wait now, why is the map multiplication by m?
I'm guessing you can deformation retract onto the codomain part?
okay wait. So this mapping cylinder just deformation retracts into one of its ends. One end goes around itself m times and this will be the generator of H_n(M_f). Now the map H_n(S^n) -> H_n(M_f) is induced by the inclusion and so it takes a generator to a generator. So if you go around one time in S^n you go around m times in M_f right?
Would it deformation retract onto its domain part?
I don't think it will, at least not when f isn't injective
The codomain part is just a circle. Even though "it goes around itself m times", the generator will still be the simplex that goes around once
But the important part is that going around the domain circle once is the same as going around the codomain circle m times
That's why the map is multiplication by m
yeah okay I see now. Thank you both for the help! 
I keep getting these brain farts man
I understood this before but then I go back and boom I don't get it
Anyone can correct this?
So, i have $E=\tau(S \setminus {0})$ where $\tau$ is the canonical projection (takes a vector s in S and sends it to the projective point [s]), S is a non-empty set of V (vector space) and <S> is the vector subspace generated by S. I have to prove, given the first equality, the second one (and i'm lazy to type it in latex lol)
My idea seems a bit...complicated? and i'm not sure it really holds
I basically says that P(W) is the set of 1 dimensional subspaces of V, so i rewrite P(W) as the union of this subspaces, say that the condition E in P(w) is equal to the condition that every vector s of S is in the union of this. but the union of subspaces is a subspace so this intersection of unions of vector subspaces has to be span(E)....which honestly said like that seems like i'm sputting nonsense?
PCR_Anibal
Given $I, J \subset \mathbb{R}$ countable sets such that $|I| \leq |J|$, does there always exist $f \in C^{0}(\mathbb{R})$ homeomorphism such that $f(I) \subset J$? A stronger result, which is the one I am in fact more interested in, would be to assert if there exists an orientation preserving diffeomorphism that does this.
MisterSystem
(What does orientation preserving means here ?
)
it just means the jacobian of this map being positive
in this case it just means monotonic I guess lmao
Also do you allow infinite sets to be considered countable ? 
yeah, in fact the case of I and J having the same cardinality as N is really interesting
if we consider I and J finite


