#point-set-topology
1 messages · Page 262 of 1
which statement ?
"a product of closed sets is closed"
or, if you want to be more concrete, you can draw a picture of this set, and remember a subset X of R^2 is open iff every point x is an interior point, i.e., you can fit an open ball around x and contained in X
so for example, a line is not open: any ball cannot be contained inside the line
but the open square is
the simplicies [v_0, ..., v_n] and [v_n, ..., v_0] are the same, right?
orientation?
oh yeah right
what context are you talking about
like i half know but
i'm confused. do hatcher's delta complexes have orientable cells
they do
obviously
something's throwing me off. i gotta reread that section to see how he does it
Show that the set ${(x_1,x_2,x_3,x_4)}\in \mathbb{R}^{4}:\text{rank}\left(\begin{pmatrix}x_1 & x_2\x_3&x_4\end{pmatrix}\right)=1$ is a 3-dimensional submanifold of $\mathbb{R}^4$. How could I go about even visualizing this? My first thought is its all 2 dimensional subspaces of $\mathbb{R}^4$, but is that correct?
deathcode
hmm not all two-dimensional subspaces.
In terms of the actual geoemtry part, I can probably figure out some submersion from $\mathbb{R}^4 \rightarrow \mathbb{R}^3$, but I'm unsure
deathcode
my reason for thinking 2d subspaces is bc the rank being one implies $x_1=\lambda x_2, x_3=\lambda x_4$
deathcode
since they said simplices, i assumed it was the standard (n+1)-simplex with labelled vertices, and orientation induced by the labeling
but wasn't sure if orientation mattered to them, hence the question mark 
the rank being 1 implies that every vector is an eigenvector for some nonzero eigenvalue
wait err
I thought it just meant the basis vectors lie on the same span, i.e. coplaner
the image of the basis vectors are multiples of each other
the image of everything is a multiple of each other
oh
this is wrong btw
just so we're clear
Maybe trying to reason about this geometrically is the wrong approach, and I'd be better off proving its a manifold without understanding the geometry
Bc at the end of the day, its the set of all points such that $\mu_1 x_1 = \lambda_1 x_2, \mu_2 x_3 = \lambda_2 x_2$
deathcode
Which amounts to the basis vectors lying on the same span, which means they're lines, I think?
i think you had the right idea initially. the matrix sends (1,0) --> (x1, x3) and (0,1) --> (x2, x4), and (0,1) = \lambda (1,0) so x2 = \lambda x1 and x4 = \lambda x3
I used a second constant, because its possible x_1, x_3 = 0, etc
I'm reading the proof that the cup product is commutative "up to sign change". Here Hatcher defines a singular n-simplex from another one by just reversing the order of the verticies and I didn't think through and thought that they were the same lol
this is a truly important question
because like
there are permutations of the vertices of a simplex, that extend to linear automorphisms of the simplex
and precomposing a singular simplex with that linear automorphism gives a different simplex
so like
you need to know whether [v0....vn] and [v_n....v_0] are the same simplex with different signs, or whether one is given from the other by precomposing with some automorphism of the base simplex
in which case the two singular simplices would be totally unrelated in the free group
ah yeah right I see
so when I'm at it I will quickly ask this: let $\epsilon_n = (-1)^{n(n+1)/2}$ and $\rho: C_n(X) \to C_n(X)$ be defined as $\rho(\sigma) = \epsilon_n \bar{\sigma}$ where $\bar{\sigma}$ is the singular $n$-simplex obtained by preceding $\sigma$ by the linear homeomorphism of $[v_0, \ldots, v_n]$ reversing the order of the verticies. Hatcher will prove that $\rho$ is a chain map and that it is chain homotopic to the identity and so induces the identity on cohomology. He now writes "from this the theorem quickly follows", the theorem being that $\alpha \smile \beta = (-1)^{kl} \beta \smile \alpha$ where $\alpha \in H^k(X; R)$ and $\beta \in H^l(X; R)$. I don't see how it follows immediately tho
Tokidoki ✓
so does $\overline{\alpha \smile \beta} = \beta \smile \alpha$ and does $\epsilon_{k+l} = (-1)^{kl}$?
Tokidoki ✓
i think he explains that in the next two sentences
this is why i'm always on call to provide my vital assistance
yeah okay then I get it lmao. I thought that it was up to the reader to verify that. Thank you so much! 
i think the whole permutation is just a slight subtle bug in his definition. you can easily fix it just by modding out the chain complex groups by the relation that two simplices are opposite iff they differ by an odd transposition of vertices
it gives you the same theory
this is a theorem
not obvious maybe lol
The symmetric algebra on a vector space V
This is just formal combinations of elements in V?
And we make
Two formal combinations equal if
They only differ by commutative and associative “replacements”
also this seems wrong to me?
I understand how we need char 2 for (2) to imply (1)
but i dont see how all of this is equivalent to the graded commutative condition
if w has even degree then we should have
w \wedge v= v\wedge w
but (2) is saying that its always anti commutative?
no, that's not how graded-commutative stuff works here.
this law only applies to elements of degree 1
the law is extrapolated to higher degree terms by applying it iteratively, i.e. permuting the elements one transposition at a time
in the exterior algebra every element of degree p can be written as a sum of products of p elements of degree 1
so specifying this law for elements degree 1 automatically implies the usual graded commutative law for higher degree terms
yeah. if you choose a basis for V, then the symmetric algebra is isomorphic to the polynomial ring with variables drawn from the basis and coefficients in R
Thank you
$(v + w) \wedge (v + w) = v \wedge v + v \wedge w + w \wedge v + w \wedge w$. If $v^2 = 0$, then this gives us $0 = v \wedge w + w \wedge v$. If $\wedge$ anti-commutes, setting $w = -v$ gives $0 = v^2 + v^2 = 2v^2$. This implies $v^2 = 0$ provided the characteristic is not 2
Kogasa
fuck
i put wedges instead of +'s
and now it's too late to fix it
just ignore this
$(v + w) \wedge (v + w) = v \wedge v + v \wedge w + w \wedge v + w \wedge w$. If $v^2 = 0$, then this gives us $0 = v \wedge w + w \wedge v$. If $\wedge$ anti-commutes, setting $w = -v$ gives $0 = v^2 + v^2 = 2v^2$. This implies $v^2 = 0$ provided the characteristic is not 2
Kogasa

Yeah. ok so. A subset of C^2 is called algebraic if it's in the image of the functor V(-)
so the algebraic subsets of C^2 form one half of this equivalence
the other half is kinda interesting. so here's a condition on the ideal I that is clearly necessary.
If f^n is in I for some natural number n, then f is in I.
Why is this necessary? Because if f^n(x,y) =0 for some pair (x,y) in C^2, then f(x,y) =0, because a complex number to the nth power is zero iff that number is zero
Right. Yeah.
So, a famous theorem of Hilbert established that this condition is also sufficient. Very cool result
so there's a contravariant equivalence of posets between radical ideals in I and algebraic sets in C^2
called?
uh the Nullstellensatz, theorem of zeroes.

but it's often cited in a few different forms depending on the commutative-algebraic guise most convenient for it to appear under
so let's pick a point (a,b) in C^2
this is obviously algebraic because it's defined by the system of equations f(x,y) = x- a and g(x,y) = y-b
so it's V( (f,g) ) for that choice of f,g
conversely it's not too hard to see that (f,g) is a maximal ideal. like, there's a ring homomorphism C[x,y] -> C which sends x to a and y to b and sends all complex numbers to themselves
and by looking at the ring homomorphism laws and the fact that polynomials are built up by addition and multiplication
you can prove that this sends the function t(x,y) to t(a,b)
in particular the kernel of this homomorphism is exactly the set of polynomials which vanish at (a,b)
that means that C is isomorphic to C[x,y]/ I((a,b))
which proves that I((a,b)) is a maximal ideal.
wait what
i guess in the end that's not really what i wanted to prove.
let me back up lol
sorry what are you gonna say
it's an ideal, where'd the maximality come from?
Oh, C is a field and it's a known characterization of maximal ideals that I is maximal iff the quotient ring R/I is a field

no like, it's probably a thing that I should know
Oh right
If R/I is a field
then it has no non-trivial ideals other than the zero ideal
if it has some nontrivial ideal I' then no element of I' can be invertible
because the product of any x with its hypothesized inverse x^-1 would also be in the ideal
and then xx^-1 = 1 would also be in the deal
thus every element of R would be
so this proves that the only ideals of a field are the zero ideal and the entire ring R
the way I look at it, all ideals of R/I are of the form J/I where J is an ideal of R superset to I
yeah.
Right.
good refresher lmao
Cool
Ok. i think like
all i should have said earlier was that it's obvious that the ideal C[x,y]/(x-a, y-b) is isomorphic to C. Because quotienting out by the ideal forces x-a =0 and y-b =0 in the new ring, i.e. x=a and y=b
so the quotient takes the two variables and replaces them with elements of C
it gives a map C[x,y] -> C
which sends x to a and y to b
that proves that (x-a,y-b) is maximal, because it's the kernel of this homomorphism
does that make sense?
sure
So, since (x-a,y-b) \subset I(V(x-a,y-b)), and it's maximal, the equality is strict.
Question: are there any maximal ideals in C[x,y] that don't arise from points in this way?
is every maximal ideal generated by (x-a,y-b) for some a,b?
unless I(V(x-a, y-b)) = C[x, y]
but that's fortunatley not the case
Yeah. Right. We know that not every function vanishes on V(x-a,y-b) = (a,b). for example no nonzero constant function
So the answer to this question turns out to be again, no!
all maximal ideals in C[x,y] correspond to points!
this is another corollary of hilberts' nullstellensatz
so maybe the first topology that comes to mind to put on C^2 is just like, the usual one on the underlying metric space R^4. however in algebraic geometry all of our functions are polynomials and shit so there aren't that many functions we want to be continuous
and uhh idk if i have a great excuse for this topology but all you really need is a topology which is fine enough that the functions you work with are continuous
so since we have only polynomial functions, and later rational functions
we can take like a very coarse topology
here we're doing to define the Zariski topology on C^2 by taking the closed sets to be exactly the algebraic ones
it's not too hard to show that this is indeed a topology
?
that makes very few functions C^2 -> ... continuous
yeah but if your whole category is built out of similar spaces to this one then it doesn't matter. like, if you just stuck to C^n and closed subspaces of C^n and those were the objects of your category
then that's not really motivating
it's algebraic geometry lol
the field is about the study of polynomial curves
and stuff like that
if you consider Top(X, Y) then coarser Y means more maps, and coarser X means fewer maps
both coarser means???
yeah. ok i getcha. my point is: you're right that there are not many continuous maps from X to Y. That's fine because we're not really interested in all continuous maps from X to Y. we are not talking about a full subcategory of Top here. It's like, you want smooth functions between smooth manifolds to be continuous, definitely, because topological arguments are important! but you're not interested in arbitrary continuous functions between smooth manifolds.
so like, we only care about polynomial maps from X to Y anyway, so it's not a concern of mine that there's not many more continuous maps than just those
but if you make Y coarse as well then it kinda balances out
so it's not clear what you've done
Maybe. Haha
i really could not tell you what the set of continuous functions X-> Y looks like outside of the polynomial functions. no clue
if all spaces are discrete, then all functions are continuous
on the other side of the spectrum, if all spaces are codiscrete, then again all functions are continuous
actually some of these spaces are pretty weird. I think the expected AG spaces are discrete, like a finite union of points.
(insert bell curve meme)
You don't really run into infinite unions of points because you couldn't define them by polynomials nicely
btw the only algebraic sets in C (as a one-dimensional C-Vector space) are the finite sets
that's FTA
so it has the cofinite topology for us
yeah
exactly
so there are lots of continous functions C ->C
does that help
as long as every fiber is finite right
there's something implicit going on here
a leap from vanishing sets to closed sets
I guess a vanishing set has to be closed
we're saying nothing else is closed?
yeah
and that's somehow enough to make polynomials continuous even outside their vanishing sets
yeah.
that's peculiar
uhh ok let me think about this.
so let f(x,y) be a function from C^2 -> C
take a closed set in C. that's just a finite union of points by FTA
so it suffices to show that the preimage of a singleton is closed
it's obvious in the C case
and then do induction on the number of elementsd.
I'm trying to generalize
yeah, for function vectors C^n -> C^m of the form (f1, f2. .. fm) each one in n variables
i guess it suffices to consider closed sets of the form V( (f) ) where f is just a single element. Because if I is an arbitrary ideal then V(I) is the intersection of all the sets V( (f ) ) for each f in I
and taking preimages plays nicely with taking (even infinitary) intersections
so i think we should just be able to argue that the preimage of V(f) is closed and then the general case follows by taking intersections
but i think that now (f1... fm)^{-1} (V(f ) ) is exactly V( (f(f1, f2,... fm)) )
nah
it's the vanishing set of the composition
the thing I'm looking for is
wait what am I looking for
not sure what the extent of our spaces is
but suppose f : C^n -> C^m and x in C^n
now suppose f(x) in A, where A is a vanishing set of some p : C^m -> C
then what we want is p(f(x) - f(.))
yeah. i mean i can sketch a reasonable category for you for the sake of argument, it's the category of all C^n for n in N and closed subspaces of these
which is a polynomial on C^n
whose vanishing set is f^-1(A)
so f is continuous at x, for all x
ok that seems somewhat reasonable
ok. cool
it works because you use f to relate polynomials in cod(f) to those in dom(f)
which only works if f is polynomial itself
so yeah this is this standard topology. so one thing that i can point out here is that like, you can transfer this topology from C^2 to the set of maximal ideals of C[x,y] by the bijection we established earlier
so that they're homeomorphic as topological spaces by definition
hold up
sure
ok
and uh you can translate the definition of closed sets we gave into a condition on when a set of maximal ideals is closed
so, say I is some ideal.
Then V(I) is a closed set in C^2 by the definition of the topology
(a,b) is in V(I) iff every function in I vanishes on the pair (a,b). In other words, iff every function on I belongs to that maximal ideal m_{(a,b)} of all functions that vanish on (a,b).
It's about the inclusion reversing correspondence i guess
sure I guess
(a,b) \in V(I) iff {(a,b)} \subset V(I) iff I({(a,b)}) \superset I
sorry.
sounds adjointy
yeah this is the Hom = Hom version
it's just taking transposes i think
ok cool
yeah so we arrive at
the definition of the topology on maximal ideals
which is that the closed sets are of the form V(I) = { m | I \subset m }
hopefully that provides a little intuition for the spec construction
what this is is the subspace of Spec(C[x,y]) consisting of only the maximal ideals. the prime ideals are a bit harder to get intuition for, for the sake of a lot of things you can dismiss them as a gadget needed to make the construction work right when we try and expand this to arbitrary rings
one other thing
if f : C[x,y] -> C[x,y,z] is a ring homomorphism
say it sends x to some f1 and y to some f2
ok let me say this.
A basic concept of geometry is that if you have a good map of spaces f : X -> Y
and you look at the ring of functions on Y
say from Y into some fixed ring R
sheaves 🥴
then you should be able to pull back the function along f and get a function X -> R
so like
if I have a polynomial function f : C^3 -> C^2
then this should give a homomorphism C[x,y] -> C[x,y,z] by precomposition
and that describes all polynomial functions
conversely if you have any homomorphism C[x,y] -> C[x,y,z], say it sends x to some f(x,y,z) and y to some g(x,y,z), then you can think of these as what you get from projecting a map C^3-> C^2 onto the two coordinates of C^2
that's really weird
so you can associate to this the polynomial function <f(x,y,z), g(x,y,z)> : C^3 -> C^2
yeah it's pretty weird i agree
making sure this shit all works right takes some work
hmm
one slight generalization i should mention is that our techniques are easily adaptable to closed subspaces of C^n
if A is an algebraic set in C^n
closed as in zariski-closed
yeah.
that did not immediately click
then you can just define the ring of functions on A to be the quotient of C[x1... xn] by the ideal I(A) of all those functions which vanish everywhere on
so you're saying, yes give me the usual polynomial functions but identify them if they agree everywhere on A
wait
sure
somehow I missed the part where we went from C to C^n
on C the topology is cofinite
Yeah
but on C^n it's more weird
the fact that I missed the transition where we're no longer talking about cofinite sets
yeah so an example of this would be like
the algebraic subset V(y-x^2) in C^2
the ideal is generated by a single polynomial, y-x^2
and the closed set is the parabola y=x^2
wouldn't it be the whole riemann surface
this is how you should think of a typical closed set, it's some kind of algebraic curve or surface or shape. a hyperboloid, an ellipsoid, yadda yadda
yeah i'm just visualizing this in R^2 because i can't see for shit in C^2
we still say 'curve' tho, even tho it's a surface, because it's 1-dimensional over C
it's just a torus minus a point 
😮
wait no, a sphere minus a point
ok so a minute ago i was explaining how we could define the ring of functions on an algebraic subset A in C^n as just the ring C[x1 ,... xn] modded out by the ideal I(A)
and you can still talk about polynomial functions from one closed subset A of C^n to another closed subset B of C^m using the background coordinate systems
and again this induces a ring homomorphism (C[y1....ym]/I(B)) -> (C[x1...xn]/I(A))
and vice versa
I'll need to think about that correspondence a bit
and the same logic as before works out but you can do it
so to sum up this correspondence
what are the properties of this ring C[x1...xn]/I(A)
well
I(A) was a radical ideal, remember
this was hilbert's nullstellensatz
radical?
oh sorry it satisfies f^n in I for some integer n implies f in I
o
and like
it's not hard to see that when you quotient out by this ideal you get a ring with the property
f^n = 0 -> f =0
so introduce a name for this, we'll call it "reduced"
so a ring is reduced if the zero ideal is radical
too much jargon smh
smh
and closed subsets of a space, we called them algebraic sets, that name, considered as spaces in their own right they're sometimes referred to as affine varieties
here affine basically means that it's embedded in C^n
in contrast to like a more general object which is glued together out of coordinate charts which are locally in C^n
not related to the other affine whatsoever?
not that i know of.

like how a manifold is glued together out of open subsets of R^n
a manifold which could be embedded in R^n or which is embedded in R^n might be thought of as affine but like
flashback to covariant vector vs covariant functor
Hahahaha
yeah
a more general manifold which is just thought of as being glued together out of open subsets is not affine
why do names exist, we should refer to properties by the merkle hash of their definitions
lmao
uh
ok what are the other interesting properties of those rings
they're finitely generated as algebras by the variables x1...xn
that's pretty much it
so
what we have is that
there is an equivalence of categories between
"those rings" --- reduced?
- the category of affine varieties and polynomial maps between them
- the (opposite) category of finitely generated, reduced C-algebras and homomorphisms between them
yeah reduced
C-algebras as in algebras over C the field?
yeah
so this basic duality between the algebraic side and the geometric side is the starting point for a lot of interesting algebraic geometry
this is kind of where it starts
hmmmmm
I think I kinda see
this is like the upgraded version of the toy C^k -> C^m vs C[x1...xm] -> C[x1...xk]
yeah. not too far upgraded, all we did is quotient out by some ideals and you have to check that that works
which isn't too bad
just a standard algebra exercise
annoying
so I'm assuming there's things like "manifold" "varieties"?
it also suggests why you might want to try and take this galaxy approach you were talking about in your class of trying to search for geometric intuition in CRing^op, because you know in this nice extremely small subcategory of CRing (finitely generated reduced algebras over C) you do have geometric meaning for the op category
yeah.
so the most basic example is the projective line, the set of lines in C^2 that pass through the origin
a line through the origin can be specified by giving a pair of points on it, say (x,y)
we usually denote [x:y]
but like, [x:y] denotes the same line as [2x:2y] and [-0.4x : -0.4y]. any scalar multiple of the same vector determines the same line.
yup that's projective line
it's convenient to fix a unique representative by scaling so that the first coordinate is 1
so far looks like a circle
then your coordinates are of the form [1:y/x]
so like
if you just set Z = y/x
you see that the whole thing is controlled by a single one-dimensional parameter away from the point [0:1]
so intuitively you think of this as having a copy of C^1 embedded within it
which is the whole space except for one point
yeah so this is a sphere
the Riemann sphere
conversely you could do the same thing with the other parameter.
so yeah this is two affine varieties (two affine lines) glued together
along the map, say, z \mapsto 1/z'
which is defined on both lines away from the origin
this is where sheaves actually do have to really come in because
before this i was talking about like, understanding a subspace of C^n by looking at the global functions on it.
but there are no interesting global functions on the Riemann sphere, except for the constant ones
in a whatever manifold, we want the chart transition maps to be whatever
Yeah.
what happens here
uh, locally rational transition maps are the basic morphisms

a map f : X -> Y is said to be regular if X admits an open cover where f can be described as g/h where g and h are polynomial functions
why rational
idk it's a slightly more general class of ''algebraic '' functions than the polynomials
like arguably rational functions are still algebraic
at least on their domain of definition
wait like inverses in terms of function composition
yeah
mm that's pretty weird
because a transition map is f . g^-1
ok. let me think about that
I don't think there's anything useful if you require transition maps to be just polynomial
but rational seems like a super arbitrary cutoff
ok maybe this is pushing it but
say i have the affine line
it's just a line, it's C
i don't think that these should have inverses necessarily
well suppose you have charts f and g
you transition from f to g via g . f^-1
you have to transition backwards too, using f . g^-1
i guess i would say no. i can't think of any reason why it should be. so you'd need the extra assumption that the maps in both directions were rational
sounds very restrictive
not sure what the word is in english, but az+b/cz+d are such
my memory is a bit foggy wrt these questions you're asking
anyway I wanted to bring up that I guess x is a polynomial of y and x/y
yeah so this works like, if you pass from one dimensions to 2
the hyperbola y=1/x is the set of solutions to the curve yx-1
this is a closed (algebraic) subset of C^2
and at each point on it, y=1/x and so you can use the variable y as you would 1/x
so you can sometimes make rational functions polynomial by passing to a different context
(localizing)
alright i think i gotta walk away i'm getting tired
my eyes are shutting lol
but that would mean cbrt(x) is also
i think i'm going to go to bed early.
Uh can you explain that
i don't know why you'd say that
y = cbrt(x) is the same curve as y^3 = x
hm
anyway thanks for all this
np!
yeah idk how to answer that question. i must be sweeping something under the rug about why this works in some cases and not in others lol
it has something to do with the fact that x=0 is a closed subset of the affine line
and so when you remove that point you get an open subset
the function 1/x is defined on an open subset, like it belongs to the sheaf of locally rational functions
idk haha
alright goodnight
gotta go
a noetherian space is reducible?
Not necessarily
Spec Z for example is irreducible
Meanwhile Spec Z x Z is Noetherian but is reducible


I'm having trouble seeing why the fundamental group of the Klein bottle isn't just Z
I'm trying to do it via Van Kampen
with what open cover?

My initial thought was to decompose it into two mobius bands but that didn't seem to work
But apparently someone online was saying you can?
that should be fine
How do you draw the mobius bands though
Or wait is it just upper left and bottom right squares
If you use the definition of the Klein bottle as a quotient of [0,1] x [0,1]
not sure what you mean by upper left and bottom right squares
but i would also do it with the fundamental polygon
Don't know what that is
the presentation of the klein bottle in terms of a labeled square
with orientations
No that's what I mean
yeah, i'm saying that's a good way to do it
Square where you identify the top and bottom edges and the the left and right edges with a twist
I'm saying if you break up the square into a grid of 4 smaller squares
And then take the subspace that's two diagonally adjacent squares
That's a mobius strip
i don't think it is, since removing a point from that would make it disconnected
keep in mind what the fundamental polygon of a mobius strip looks like
and try to draw a line through the klein bottle that produces two mobius strips
*Deformation retract of a mobius band
actually you probably want to make a vertical cut 
Is the identity point on an elliptic curve always of degree one ?
Phi
Does it make sense to talk about a metric space whose topology isn't the metric topology?
eg. (Reals, Discrete topology) with the euclidean metric on R
My gut tells me no because you'll have two distinct notions of open sets, continuity etc.
Corollary: If I'm told I have a set X equipped with a metric d, is it safe to assume we are dealing with the metric topology?
you're right that it doesn't make a ton of sense
it is safe to assume you mean the metric topology
however, there are contexts in which you will talk about different topologies on a space
this becomes really important when you start talking about topologies on spaces of functions.
like we can talk about functions converging pointwise, or converging uniformly, or converging in L^p norm, or converging weakly in L^p, etc, and all of these are sequence convergence for different topologies on the same space of functions.
usually your space of functions comes with a particular metric, but you still talk about other kinds of convergence which are related to the metric somehow (but not exactly it)
typically you'll talk about norm/strong convergence (the standard kind), or weak convergence, and then sometimes pointwise convergence.
interesting. so we'd get like a countable sequence of topologies for the same function space and metric?
i don't know about a countable sequence
(there are definitely situations in which you might consider such a thing)
here's a way to think about it: you might be familiar with "the weakest topology generated by a collection of functions"
this says, you have a set X, and you have functions f_n from X to some topological spaces Y_n. the question is, what's the least amount of open sets you can put in X so that all the f_n's end up being continuous?
basically, you preimage all the open sets in each Y_n by each f_n, and then you take the topology generated by that.
when the f_n's are projections, this is the product topology.
but in a function space, we can think of functionals (functions which take functions as input and return numbers, e.g. the evaluation functional at y which takes any function and tells you its value at the fixed point y, or say the integration functional which tells you the integral of your function over its domain) and then we can use the weakest topology on your space of functions which is generate by a collection of functionals.
so if you pick an increasing sequence of functionals, then you get stronger and stronger topologies as you add more and more of them.
but usually we just look at the "weak topology" which is the weakest topology which takes ALL the linear functionals which used to be continuous for the metric topology, and keeps them ALL continuous (this usually isn't the metric topology anymore, usually we can throw some information out - it's the same in finite dimensions but function spaces are infinite dimensional usually!).
so for example, the sequence (sin(nx)) in the space L^2(0, pi) does not converge to anything in the metric topology. the wiggles just keep getting steeper and steeper, what would it even converge to?
well, in the weak topology on L^2, somehow the wiggles cancel out and this sequence converges to 0.
(in a weaker topology, it's easier for things to converge)
the point being, integral of sin^2(nx) from 0 to pi is always pi/2, but integral sin(nx)f(x) from 0 to pi for any FIXED f in L^2 goes to 0. you can see this for differentiable functions by integrating by parts, and then you can approximate functions in L^2 by differentiable functions to see it always works.
this is kind of strange example, but it turns out to be really important
since in analysis we get a lot of things which oscillate like crazy, and sometimes we want to make sense of them, but we can't in the metric topology. however, we might be able to say something about their behavior in the weak topology. and even though it's harder to prove theorems and do things with weak limits, it's a lot better than if we didn't have a limit at all (which we usually don't if we stick to the metric topology)
many times you actually also "upgrade" convergence from weak to strong. sometimes you know a theorem which tells you that something has a weak limit, and then you do some work to show that the sequence actually converges in the metric topology to the weak limit.
weak limits are super powerful because in infinite dimensional spaces, closed, bounded balls are basically never compact for the metric topology. but they are compact in the weak topology! and compactness lets us claim that bounded sequences have (weakly) convergent subsequences.
so it's totally essential in functional analysis / harmonic analysis to be able to talk about multiple topologies on a metric space. but usually we just stick to the strong (metric) topology and the weak topology.
Thanks for the writeup ryc
I had a first course in functional analysis like a year ago, but it seems i forgot most of it
an important point which i glossed over here is "how in the hell do you find all the continuous linear functionals on a function space"
and the good thing is for all the common spaces these are well known
except for L^infinity lol, that one is a mess
i remember for just continuous functions the dual space was some weird space consisting of measures, right?
yes, if you look at a locally compact hausdorff space, then the dual of the continuous functions vanishing at infinity is the space of radon measures (with bounded variation)
so if you just look at a compact space, this is the dual of continuous functions on your space
oh yeah it hink we only had it for compact sets in R^n, nice that this extends to that generality
radon = compact sets have finite measure, open sets approximate measurable sets above, compact sets approximate open sets below.
lebesgue is radon then right?
(for positive radon measures. for negative ones, just subtract 2 positive ones)
yes
this is kinda wild. i've never heard this.
is this definitional
because bounded sets have finite measure, we can use open intervals as our covering intervals for any set, and for open sets we can just approximate each interval in the open set from the inside.
or a consequence of some cool theorem
well, this is kind of a funny point
many people would define radon measure to be "positive linear functional on C_0(X) for X locally compact hausdorff"
many other people would define it to be "measure which is outer regular, and inner regular on open sets"
so "definitional" depends on which kind of person you are
but e.g. the way I learned it was, this is literally the definition, and then we proved properties about radon measures culminating in "they are actually measures, and they have these 3 properties, and those 3 properties also give you a continuous linear functional on C_0(X)"
it's also funny that people call it the "riesz representation theorem" when there is another "riesz representation theorem" that is also about the dual of a large class of spaces!
yeah i've been confused about this in the past
which is why people sometimes call it Riesz-Markov-Kakutani representation, but no one actually calls it that
what do we mean when we say some object
corepresents something
is i saying that Hom(object, -)
is isomorphic to some F(-)?
uh sure
then (object) corepresents F
one example would be like, if F is the forgetful functor from groups to sets
then the group Z of integers corepresents F, as maps from Z into a group G are in one to one correspondence with elements of G
this map is not well-defined right
if k = 1 then its image changes when i replace f_1 with f_1 + constant
y dis published
no this should be fine I think
forgetting f_0 this is just the usual anti-symmetrization map (without the 1/k!)
sure, but that factors out
why does this not depend on the choice of f_1
oh I see the issue
I think this should be like
df_{\sigma(1)}\otimes...\otimes df_{\sigma(k)}
where this lands in \Omega^1(X)^{\otimes k}
though the original map should be well defined up to exact forms I think
yeah that map would have a better chance
that's the full statement
so they're claiming this is a splitting to the HKR map or something
source?
https://arxiv.org/abs/0912.3729 i think they're being silly
i don't think this is largely relevant for what they're doing, but the morphism only goes one way i'm breddi sure
hmmm
maybe the point is that \Omega*(X) is being considered with the zero boundary map?
this definitely wouldn't make sense for \Omega*(X) with the usual de Rham differential I agree
but yea this seems fishy
ye i think i'll just be wary with this one
i wonder if it's good etiquette to write an e-mail about something like this
i kinda have a feeling i'd just get a "lol true but idc" back
can't be the first person to notice
I'd write an email yea
Write an email and see if the author responds with an interest in it. I think they would.
I mean if this proposition is correct it's probably something really basic but the author just doesn't do a good job dispelling any confusion like this
although I would maybe try to search for similar instances in the literature first
ye, appreciated!
thanks
I was told to ask this in here, as opposed to in Math Help.
What's the difference between an open neighbourhood, and a basic open neighbourhood? Google is being very unhelpful with this...
dont think i've ever heard this terminology, but I would guess a basic open neighborhood is an element in the neighborhood basis of the point
And more terminology I don't recall...
Wikipedia has:
The set of all open neighbourhoods at a point forms a neighbourhood basis at that point.
So which'd imply they're the same then, no?
no, typically you choose a smaller neighborhood basis
if you don't know what a neighbourhood basis is then maybe whatever source you are referring to just means elements of a basis instead of a neighbourhood basis
basic open set refers to elements of the basis. You fix a basis before you can talk about basic open sets
Ok, thankyou. I think that's what it's referring to, which helps a lot.
Okay I have a few questions on this proof. So first, why is there a big i+1+n-j exponent in the second sum instead of just (-1)^j? And in the next area marked by red, why can we just replace i by i-1? Don’t we then include a nonzero term? And in the last area marked by red, why does the theorem follow when A is non empty?
I just realized that there’s not enough info in that pic 
This is the stuff before the first pic I sent
And also why does epsilon_n[w_n,...,w_0]-[v_0,..v_n] represent p(sigma) - sigma? Isn’t the simplex with w_i different from v_i? In the sum they are different but now they seem to be equal wtf
Notice the order of vertices, v0 ... vi wn ... wi. Here, w_j is the (n-j)th element after w_n, which is the (i+1)th element. Hence you're deleting the (i+1+n-j) element
god that looks messy
Ye right that makes sense. Thank you! 
For the second question, you're just reindexing. The sum is over i < n, so for all i except the initial one (0 or 1?) there is a corresponding i-1 term, which cancels with the i term of the first sum
Then they state the remaining non-cancelled elements
Right but if I have a sum over i < n and I replace i with i-1 then I sum over i-1 < n and so I include the term when n=i and that term is nonzero right?
No, you don't want to actually change the sum. It would be the sum over i-1<n-1
He's just saying the i-1 term of the second sum is the negative of the i term of the first sum, for each i where this makes sense (0 <= i-1 < n-1)
Okay so if I do this calcelation, won’t I still have a term left? The term being when i = n?
Fuck this proof man
Okay I need to go, my train will arrive soon but I will review all of this later. Thank you so much! 
The i=n term of the first sum is cancels with the i=(n-1) term of the second
Okay right I see. Thank you! 
If $X$ is contractible complex (CW Complex), show that there exists a function $F:X\times X \to X$ such that $F(x,x) = x$ and $F(x,y)=F(y,x)$. Does anyone have any insight into this?
Pan
Any kind of function? Or a continuous one? A homotopy?
F should be continuous
In the very simple case of X = [0,1] you can do it by (x,y)->(x+y)/2
But I have no idea how to generalize this
Also unsure what about CW complexes is needed that general contractable spaces don't have
here's an idea that might work
instead of going directly from (x,y) to (y,x), we just want to find some path that switches x and y, and look at where it intersects the diagonal
But there isn't a unique way to do that
uhh
i wanted to just write enough of my idea to be sure that it probably works
but i keep writing and not being sure, so i'm either wrong or going to end up writing out the entire problem
I want to say that the fact that X is a CW complex lets you consider the CW-pair $(X \times X, \Delta)$ where $\Delta$ is the diagonal, and use your theorems about CW-pairs / "good pairs"
Kogasa
In particular, when the subcomplex is contractible.
to be clear i don't think the map is supposed to be unique
i'm pretty sure my solution works, but it's not very short
I guess the idea is: if you draw X x X as a square, and indicate the diagonal as a... diagonal, you get two triangular regions, and you should try to retract one triangle onto the diagonal, then do that same retraction backwards on the other triangle. that traces out a continuous family of paths (x,y) --> (y,x) through the diagonal
Thanks @orchid forge , I'll meditate on this and see if it goes anywhere
verboten

Why does Munkres say 'we show that f(x)>0' here?
Isn't the metric always > 0 anyways?
This is the definition of d(x,A)
Thank you!
Parallelgrom ABCD whos side AB is 2x bigger than BC. M is the center of side CD, determine the angle AMB

Got it
d(x, x) = 0, but if x =/= y then d(x, y) > 0
dang, ur doing cohomology 😮 @pearl holly
I should stop slacking off lol
toki hijo de puta doki.....
Re: geometry, can I ask if it's commonly understood that a sphere curve is defined as as a curve x(s) lying on the surface of a sphere? Or is it something that is unique to the course I'm taking
that's what id think it is
i think for how short it would take to clarify the definition
i would just quickly state the definition
I am slow and if i heard sphere curve i wouldn't know whether you meant a curve taking values in a sphere
or a curve from sphere
the second doesn't really make sense
but i'd still be confused
always good to think of us small brains when you present stuff
I would, but just asking because I had a discussion with another friend taking it in a different school and he didn't have the same impression that i did
as a rule of thumb
i think it never hurts too be too precise when defining something
but you can be too precise when presenting proofs
there are technical lemmas that are more believble than their proof is illuminting
Hey, so I have an exercise I'd like to figure out, "Which capital letters of the Roman alphabet are homeomorphic? Ex-
plain."
So I have no idea how to visualize and notice homeomorphisms just by the shape
And I'd like to learn how
read the first few pages of hatcher
Alright, brb!
sorry thats definetly way more than you need but
i was mainly hoping the pictures might spell it out
Seems a bit outreaching for me 😦 I'm only in calculus 3 class right now
My friend was discussing with me about a problem I have for an assignment. Could anyone give a hint how to prove the following?
"The curvature of a sphere curve is always greater than or equal to the inverse of its radius"
$\kappa(x) \geq R^{-1}$
wOne
are u sure
I can transcribe the question if you want
"A sphere curve lies on the surface of a sphere in euclidean space and can be described as |x(s) - p|^2 = R^2; the sphere has radius R and is centered at p.
Prove that the curvature of a sphere curve k \geq R^{-1}"
To be honest it is not intuitive but I can loosely see it
Of course I'm not sure if I'm simply seeing things that aren't there, given that it was in the question and it implied that it was true
oh, i misread what you wrote, sorry
cheers, no worries
okay well basically
and are they actually asking for homemorphic or homotopy equivalent
because there could be someting slightly subtle going on with homemorphic
T and L are homotopy equivalent
but if they "thin lines" i don't think they are homemorphic
anyway so homotopy equivalent
two letters are homotopy equivalent if they have the same number of holes
if two letters are homeomorphic they are homotopy equivalent
but you can be homotopy equivalent and not be homomorphic
Yeah, homeomorphism can bend, twist, stretch, and wrinkle
But I'm kinda not very happy with that XD
so if i was doing this question i would first group together all the homotopy equivalent letters
QAORDP
these ll have one hole
shrink all the legs
Another interpretation might be (speaking very very informally even though this is loosely accurate) 2 spaces are homeomorphic if you can deform one to become another. So in this context I'm going to assume a looser definition of homeomorphic (since you're calc 3 and not topology).
Example: C and I are homeomorphic because you can bend I to form C, or straighten C to get I. E and T are homeomorphic because you can rotate the T counterclockwise to get the tail pointing to the right, and bend the edges of the T to get the top and bottom bits of E. O and D are homeomorphic because you can flatten one side of O to get D. Check the font to be more exact.
wait are you guys in the same class?
Hm I see, so by applying these transformations
I'm just composing well-known homeomorphisms
If we are, I don't know him
I doubt so, since I'm not taking calc 3
Hm I don't know how you got that impression @gritty widget but we're not 🤣
sorry i think the "neon" pfps made me mix up who sent what message
and then it seemed like you were asking the same question
Oh 🤣 well nvm, seems like I got the intuition for homeomorphisms
But the problem is now uninteresting to me
thanks
Well I'd still like help with my problem, if anyone knows where to start that would be appreciated 🙂
geometry
geometry
Clearly you’re not ascended
I've tried comparing it to the Freser-Serret Frame equations and trying to make sense of it, but I haven't made much headway there, maybe I'm missing something from it
How can we tell? I can see how it would lead to knowing some properties about the curve and it's derivative but I'm not sure how we can establish that it's 1 everywhere
Sorry, it's not a priori to me - is that just an intrinsic property of all spheres of R^n?
what do you mean by norm R, don't fully get you
Spheres are the sets of points which are a certain distance from some point
So any point x that lies on the sphere of radius R about the point p satisfies ||x - p|| = R
This is what it means to be a sphere
(todd male is saying that if you want, you can translate your curve by -p so that it lies on a sphere of radius R centered at 0. then we would just have ||x|| = R. But you don't need to do this).
I understand this, but I don't understand how this translates to the curve has norm 1 everywhere, or norm R (presumably for a sphere of radius R?)
What specifically is it that you understand in what I said
If gamma is a curve such that gamma(t) is on the sphere of radius R centered at p for all t, what this means is that, for all t, ||gamma(t) - p|| = R
(by definition of what it means to be on a sphere)
I understand that that is the definition of what it means to be a sphere
Maybe I'm missing something about the meaning of norm?
As far as I know from my course the norm to gamma(t) would be the normal vector at any point
Have I missed something fundamental?
Would this be what you mean by norm in this context?
"norm" usually means "distance from zero", it's the usual ||.|| square root of sum of squares thing. Norm ≠ normal. The latter is the vector you mean.
Sorry, that was probably confusing.
Thank you for clarifying, informal usage in my earlier weeks definitely didn't help
The words "normal/norm" are criminally overused in math for tons and tons of different things lol
I noticed lol, along with proper
Normal subgroup, normal operator, normal vector, normalized, norm, etc
Definitely many more examples
Sorry, just trying to read through what was earlier mentioned with this new meaning of norm
So here, and later when he mentioned Norm R, this is saying (in other words) that every point on the curve has a distance R from the origin, correct?
I'm afraid I must ask a few more fundamental questions here - these were not covered very well in a previous course - how exactly do you differentiate <gamma(t), gamma(t)> = R^2? I would presume implicitly with reference to t, but I haven't seen this notation with angle brackets yet. I know a bilinear map uses this notation, but is this notation in the context of geometry referring to a bilinear map as well? And if so, how would you differentiate it?
I'm not given an explicit expression for a curve, and this is probably because we want the equation to work for every sphere curve. Is there an expression or special term in geometry for this case? i.e. the inner product of a curve with itself
I can see how the fact that the curvature is a constant means it's part of a sphere
How do I prove SO(3) is diffeomorphic to RP^3
Thank you for this, I will spend some time thinking about it. I greatly appreciate the help of both you and rew york city.
wait I thought spheres were just glorified suspensions

Based
I am like
freaking out right now
how is the interval we choose (-1, 1)
This thing is nonzero outside of (-1, 1), for example f(-5)=1-(-5)^2\neq0
?????????????
why is the support such a small part of R
|-5| ≥ 1, so it's 0 there by definition
Oh 🤦♂️
thanks
My mind was just deleting the | | when I was checking points x<0 with full confusion lol
I want to ask something. The lesson name is analytic geometry. Our teacher tried to explain something but I got nothing seriously. I really don't know the topic but he mentioned "affine frame". I really don't understand anything even if I listen to the records again and again. Can someone show me a way to get this topic like for example you must know derivative to understand integral and limits to understand derivatives right? I need someone to tell me the topic sorting to study respectively something like that
can you give more details on what the topics are?
I don't even know the topics, but was the first stuff our prof started to tell, affine space or affine frame something like this
I should study all the required topics before the deadline of the homework
I'm guessing it's affine space
okay sir what do I need to study before I get to understand affine space?
Do you know anything about vector spaces?
too little
That is usually the starting point, but you can study affine spaces directly as long as you have intuition for what vectors are
Affine spaces are sets in which you can draw a vector from any one point to another, and vector addition makes sense: vector from a to c is the sum of vectors from a to b and from b to c
This is imprecise but should probably be enough for the course if it was only mentioned in passing, but idk
knowing vector spaces is enough for the course?
I wouldn't know, depends on if it was only mentioned as a side note or as a prerequisite
Or as something to be covered later
shall I translate the homework question and paste here?
Yeah
but after I pee, I'll tag you, hold on a few mins
World’s longest pee
I'm back, latex took time sorry
Consider $({\mathbb{R}}^2, {\mathbb{R}}^2)$ affine space. If $\phi :{\mathbb{R}}^2 \cross {\mathbb{R}}^2 \longrightarrow {\mathbb{R}}^2, (p,q) \longrightarrow \phi (p,q) = (q_1-p_1, q_2-p_2)$, then, is ${p_0(1, 3), p_1(-1, 2), p_2(3, 2)}$ an affine frame on ${\mathbb{R}}^2$ that is starting from $p_0$ If so, find the coordinates according to the this $(3, 5)$ frame.
junait
.
it's a miracle for me to translate this into english
does it make sense
oh I have not seen affine frame before let me see what that means
but the first part makes sense
Affine space (R^2, R^2) means that the underlying set of the space is R^2, and the vectors you draw from any one point to another also come from R^2
yeah it makes sense
so you have to show that in R^2, p1 and p2 are linearly independent
but this seems like the kind of stuff that would have a lot of different but equivalent definitions (there are like 3 different mainstream definitions of affine spaces
) so maybe check with your instructor if this is what they mean
do you mean the question is not clear enough in terms of the definition of affine space
question is clear
but the way you write the answer will depend on what definitions your course is using
all the definitions are equivalent so they would fundamentally all be the same
but your instructor might have a specific definition in mind so better to use that
I got it, so what should I study, linear algebra?
you can try reading about affine spaces directly if you know what the vector spaces R^n look like, you shouldn't need to go too deep into linear algebra
but you should know what linearly independent means, along with maybe a few other basic definitions
maybe look them up as you encounter them
i know that homotopy is what makes the fundamental group a useful object to study but just theoretically couldn't you also define a group structure on paths just by allowing to reparametrize the paths and not complete homotopy of paths, since the only aspect where homotopy is really needed is to show associativity. or am i missing something?
yeah you could do it
k good to know
but would paths be invertible then
because no matter how fast you traverse a path from a to b and back
it's not the constant path
whats an example of non abelian fundemental group
Pi_1 of a figure 8
If you go around one loop, then around the other, then backwards around the first, then backwards around the other, this is not the identity
In fact, pi_1 of a figure 8 is the free group on two generators, which is very nonabelian
Hi. Guys,.... I know that every subspace of a separable metric space is separable. Does that hold for any topological space too?
thx
Cl(A) = A U A', so while limit points are not necessarily contained in A, they must be contained in the boundary of A?
After a day of thinking and playing with equations I've solved it. Thanks again to you and @hollow harbor for having the patience to explain it to me.
Well done! These questions are tricky
so cohomology over a ring R is also a R-module?
is that true?
ye okay and since they are rings and R-modules they are R-algebras by definition right?
or is that not the definition?
oh okay I see
my module and algebra stuff are super rusty and it feels like Hatcher will be doing some stuff with algebras and modules 
Isn’t your cohomology
Defined to be quotients of things that are R-modules
That gives you the R-module structure
I don't even know anymore
And for a definition of R-algebra, when R is commutative it’s just a ring map R -> S which lands in the center of S
You define r•s to be like f(r)s
What do you mean by cohomology over R then?
When R isn’t commutative algebras make less and less sense so idk
I mean the homology of the of the chain complex I get by dualizing C_n(X) to Hom(C_n(X), R)
Yeah
oooh okay I see I see
It’s a module by letting r•f be defined like pointwise
Like uh
(r•f)(x)
= r•f(x)
And well addition is pointwise
You’ve probably seen this before and I’ve talked about it before maybe to someone else but
Well hold up
What category is this Hom in?
Are these like abelian group Homs?
Slim it literally matters
If you say restrict to ring maps between something
bruh I don't even know
ye
Like Z-linear
And in that case you’re fine
Since f + g is still linear
As is rf
Why this matters is if you take ring maps
And define f + g to be like done pointwise
This isn’t a ring map
I mean C_n here isn’t a ring so you’re okay
But you have to worry about closure under addition and scalar mult
ye okay I see. So let me try to summarize this: since Hom(C_n(X), R) are R-modules, the kernels and the images are too. Quotients are modules too so cohomology is a R-module. The direct sum of R-modules is a R-module and so the cohomology ring is a R-module?
Right
It’s an algebra I think
Or a graded ring probably
Like you’d need a way to multiply an element of a certain cohomology with one in a different one
Which… idk probably has some weird ass procedure to do
Cup product?
Idfk
ye Hatcher says that it's a graded ring but maybe if you had R as a field instead then it would become an algebra?
No it’s an algebra anyway
Like
Idk what’s in the degree 0 part
But that should be a ring
With a map from R
So you make the graded ring an R-algebra via the map sending an element in R to something homogeneous in degree 0
Probably
Like what is in degree 0?
wtf is degree 0?
yeee
Indexed by n
oh so H^0?
no it turns out that H^0(X) is iso to Hom(H_0(X), R) by the universal coefficient thing
Okay
Is H_0(X) a uh
Free Z-module?
Or something
Or hmmm idk there’s not an obvious ring map here
Unless it’s literally just Z
It’s definitely an R-module
And it’s also a graded ring I think
So like it should be an algebra
But idk how cuz idk AT
H_0(X) is generated by the path connected components in your space so I guess that it is a free Z module?
Hmmmm
Well… that makes it iso to R^(+alpha)
For some alpha
But there’s not like a canonical map from R to that (unless alpha = 1)
Besides maybe the diagonal
But if alpha isn’t finite that isn’t a valid map
ye right I see
Idk I think it’s probably an R-algebra
Anyway in terms of if R is a field
Actually irrelevant
okay I see
Algebras are just ring maps
So it really doesn’t matter if the source is a field or not
I guess the only thing it simplifies is
Actually no
This isn’t even true so
Yeah it doesn’t simplify anything
yeah okay I see. Thank you so much for making stuff a lot clearer! 
btw would anyone recommend some good source that talks about the cohomology ring? It feels like I don't fully understand the stuff that Hatcher is talking about anymore
I tried searching stuff up on youtube but I can only find videos that only mention it quickly
Hello I was minding how this conclusion is made, cant figure it out
Is there an actual explanation for what the pushforward and pullback are in differential geometry other than the abstract definitions?
And are there any resources that make an actual attempt to explain them or give actual concrete non-trivial examples?
I saw that but I have trouble following stackexchange since the asnwers tend to use weird notations and concepts I've never seen
they also tend to jump around instead of working through an entire example from start to finish
yeah I looked at the top answer and it just immediately states
the push-forward amounts to changing coordinates for a vector field (viewed as a derivation) for example: for cartesians verses polars in
without giving any reason why I should believe this or how to show it
Can anyone help me with this problem:
Let a be an arbitrary point, then you want to know that for any open set eventually (x_n) is inside that open set for all n sufficiently big
So let U be an open set containing a
It’s the complement of a finite set
So now you just gotta go high enough so that all the elements of that set no longer appear in x_n
That happens cuz pigeonhole principle
Ah, I am a tad confused by this, sir
Think about it, if I just tell you then you won’t learn
U is infinite, but aren't sequences infinite too?
Is there a straightforward method for computing a local inverse for a smooth mapping between smooth manifolds?
Like say I had a simple map between R^2 and R^2
In general local inverses don't necessarily exist depending on the injectivity of the smooth map
That's true, I should have prefaced this question by the assumption of the inverse function theorem
fajitas
I might be talking about of my ass, but the inverse function theorem says that a function is invertible at a neighborhood of a point if the jacobian matrix is invertible, so perhaps something taking the inverse of the jacobian map to get a linear approximation in the reverse direct?
idk
Hmmmmmmm that's not a bad idea 💡
I was working on pressley's Elementary Diff Geometry book, and the last part of question 2.3.4 has exploded into a wall of trig functions, where you show Viviani's curve has the property that was proven
Viviani's curve:
[\gamma(t)=(\cos^2t-\frac{1}{2},\sin t\cos t,\sin t)]
Manzareh
and it's exploded completely in my solution and I'm wondering if I missed something
showing that it was spherical was easy, but the torsion, curvature ratio looked terirble
In Loring Tu’s Introduction to Manifolds, he sets about to prove this proposition. In proving the leftward implication, he says that τ contains the empty set, but if we define B to be just the set S, the two conditions hold and τ={S} which does not contain the empty set. Am I missing something?
the "empty union" is the empty set
this is technically speaking a definition / convention, not something which should necessarily be obvious
Ok thank you!
is baycentric division only brought up for excision theorem?
bumping myself because i'm shameless
i'll be honest i tried doing it and shit got out of hand pretty quickly
and i got bored

same
i even tried following my proof for the forward direction after showing that its spherical and i'm still handling ugly trig trees
I think faithful is pretty obvious and I'm stuck on proving that this is full. I know that V embeds into t(V) as the subspace of all closed points. I think I should prove this: closed points of t(V) must map to closed points of t(W) so that the restriction to V → W makes sense, and this restriction uniquely determines the whole map. But idk how to even start either of these parts 
I have no intuition for maps of schemes in general I feel
hey guys, i was assigned this just now and the question is very vague, does this sound like a problem that should be modelled with graph/network theory to you guys?
i've heard of the travelling salesman problem but i haven't been taught it yet, and i just googled it and it looks applicable to this
This isn't the right place, you should ask in a CS server probably (see #old-network)
hints: there are many possible approaches

This is also a throwback to the horrific final project I had in my advanced algorithms course
That we actually didn't do terribly on
But also not super well
yo this is really interesting
@empty grove
Warning The following rant is not directly relevant to your question. here is what I have to say which is relevant:
I think the answer to your question definitely needs some commutative algebra. I can't remember if you need the full power of hilbert's nullstellensatz over an algebraically closed field... I believe this might hold for spaces equipped with a sheaf of k-algebras for k an arbitrary field and maps of spaces together with k-algebra maps of the associated structure sheaf. i think you want to prove that like, on the level of stalks, using the fact that k-algebra map of local k-algebras necessarily induces an isomorphism between the residue fields over the two points, that closed points map to closed points. you might need some kind of characterization of the closed points in terms of what the residue field looks like at closed vs nonclosed points. something like the residue field at a closed point is just k and at a nonclosed point it must be more funky than that.? I'm making shit up but this is buried in my AG notes so ping me if you want me to look it up.
But rereading the question it does say assume k=ACF. i think you should really just try and prove what's purely a theorem of commutative algebra, that the preimage of a maximal ideal among a k-algebra map is a maximal ideal (k an ACF, all rings being finitely generated, maybe reduced, whatever)
anyway, rant time
this is actually part of a more general result about a certain class of topological spaces.
i don't want to give a massive monologue but like, basically there's a certain class of spaces that can be uniquely reconstructed from their lattice of opens regarded as a poset
Write T(X) for the lattice of opens of X.
Each point x in X determines a set of opens in T(X), the ones that contain it.
This set has some interesting properties. It's a filter - it's closed upward. It's closed under taking finite intersection.
Also, if {U_\alpha} is a family of open subsets of X, none of which contain x, then neither does their union contain x. So the filter of opens containing x has the additional order-theoretic property that you can't get into it from outside by taking suprema - if A \subset T(X) is disjoint from the filter F_x of opens containing x, then the supremum of A is not in F_x either.
We say that F_x is completely prime.
For the name convention, I don't really know what to tell you other than that if you view the meet as a kind of multiplication, then it makes sense to call an order-theoretic ideal "prime" if the meet a ^ b is in I iff a or b is in I. Dualizing this definition by flipping everything upside down gives a criterion for a filter to be prime - the join of a and b is in F iff either a, b is in F. Then "completely prime" is the natural generalization from finite to infinite subsets.
Anyway
The study of the lattice of opens is pretty interesting, particularly from the view of sheaf theory, because to define a sheaf on a space, you don't actually need the space per se, you need the lattice of opens. The gluing condition can be fixed by replacing the word "union" with "supremum"

