#point-set-topology

1 messages · Page 262 of 1

orchid forge
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you should prove this statement carefully, and check to make sure that it doesn't matter if the sets are open or not-- just that they are both closed

sullen lynx
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which statement ?

orchid forge
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"a product of closed sets is closed"

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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

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so for example, a line is not open: any ball cannot be contained inside the line

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but the open square is

sullen lynx
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yeah i see

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thank you very much for your help

pearl holly
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the simplicies [v_0, ..., v_n] and [v_n, ..., v_0] are the same, right?

orchid forge
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orientation?

pearl holly
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oh yeah right

plain raven
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what context are you talking about

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like i half know but

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i'm confused. do hatcher's delta complexes have orientable cells

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they do

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obviously

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something's throwing me off. i gotta reread that section to see how he does it

proud ridge
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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?

gentle ospreyBOT
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deathcode

plain raven
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hmm not all two-dimensional subspaces.

proud ridge
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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

gentle ospreyBOT
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deathcode

proud ridge
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my reason for thinking 2d subspaces is bc the rank being one implies $x_1=\lambda x_2, x_3=\lambda x_4$

gentle ospreyBOT
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deathcode

proud ridge
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loosely

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bc there is the case where either column is 0

orchid forge
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but wasn't sure if orientation mattered to them, hence the question mark popFish

orchid forge
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wait err

proud ridge
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I thought it just meant the basis vectors lie on the same span, i.e. coplaner

orchid forge
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the image of the basis vectors are multiples of each other

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the image of everything is a multiple of each other

proud ridge
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oh

orchid forge
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just so we're clear

proud ridge
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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

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Bc at the end of the day, its the set of all points such that $\mu_1 x_1 = \lambda_1 x_2, \mu_2 x_3 = \lambda_2 x_2$

gentle ospreyBOT
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deathcode

proud ridge
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Which amounts to the basis vectors lying on the same span, which means they're lines, I think?

orchid forge
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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

proud ridge
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I used a second constant, because its possible x_1, x_3 = 0, etc

pearl holly
# plain raven what context are you talking about

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

plain raven
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this is a truly important question

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because like

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there are permutations of the vertices of a simplex, that extend to linear automorphisms of the simplex

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and precomposing a singular simplex with that linear automorphism gives a different simplex

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so like

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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

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in which case the two singular simplices would be totally unrelated in the free group

pearl holly
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ah yeah right I see

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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

gentle ospreyBOT
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Tokidoki ✓

pearl holly
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so does $\overline{\alpha \smile \beta} = \beta \smile \alpha$ and does $\epsilon_{k+l} = (-1)^{kl}$?

gentle ospreyBOT
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Tokidoki ✓

plain raven
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i think he explains that in the next two sentences

pearl holly
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oooohh

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lmao

plain raven
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this is why i'm always on call to provide my vital assistance

pearl holly
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yeah okay then I get it lmao. I thought that it was up to the reader to verify that. Thank you so much! catthumbsup

plain raven
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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

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it gives you the same theory

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this is a theorem

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not obvious maybe lol

gritty widget
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The symmetric algebra on a vector space V

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This is just formal combinations of elements in V?

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And we make

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Two formal combinations equal if

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They only differ by commutative and associative “replacements”

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also this seems wrong to me?

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I understand how we need char 2 for (2) to imply (1)

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but i dont see how all of this is equivalent to the graded commutative condition

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if w has even degree then we should have

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w \wedge v= v\wedge w

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but (2) is saying that its always anti commutative?

plain raven
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no, that's not how graded-commutative stuff works here.

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this law only applies to elements of degree 1

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the law is extrapolated to higher degree terms by applying it iteratively, i.e. permuting the elements one transposition at a time

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in the exterior algebra every element of degree p can be written as a sum of products of p elements of degree 1

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so specifying this law for elements degree 1 automatically implies the usual graded commutative law for higher degree terms

plain raven
gritty widget
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Thank you

orchid forge
# gritty widget I understand how we need char 2 for (2) to imply (1)

$(v + w) \wedge (v + w) = v \wedge v + v \wedge w + w \wedge v + w \wedge w$. 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

gentle ospreyBOT
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Kogasa

orchid forge
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fuck

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i put wedges instead of +'s

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and now it's too late to fix it

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just ignore this

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$(v + w) \wedge (v + w) = v \wedge v + v \wedge w + w \wedge v + w \wedge w$. 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

gentle ospreyBOT
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Kogasa

digital peak
plain raven
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Yeah. ok so. A subset of C^2 is called algebraic if it's in the image of the functor V(-)

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so the algebraic subsets of C^2 form one half of this equivalence

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the other half is kinda interesting. so here's a condition on the ideal I that is clearly necessary.

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If f^n is in I for some natural number n, then f is in I.

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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

digital peak
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right so if f^n in J then f in I(V(J))

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or whatever

plain raven
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Right. Yeah.

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So, a famous theorem of Hilbert established that this condition is also sufficient. Very cool result

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so there's a contravariant equivalence of posets between radical ideals in I and algebraic sets in C^2

plain raven
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uh the Nullstellensatz, theorem of zeroes.

digital peak
plain raven
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but it's often cited in a few different forms depending on the commutative-algebraic guise most convenient for it to appear under

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so let's pick a point (a,b) in C^2

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this is obviously algebraic because it's defined by the system of equations f(x,y) = x- a and g(x,y) = y-b

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so it's V( (f,g) ) for that choice of f,g

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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

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and by looking at the ring homomorphism laws and the fact that polynomials are built up by addition and multiplication

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you can prove that this sends the function t(x,y) to t(a,b)

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in particular the kernel of this homomorphism is exactly the set of polynomials which vanish at (a,b)

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that means that C is isomorphic to C[x,y]/ I((a,b))

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which proves that I((a,b)) is a maximal ideal.

digital peak
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wait what

plain raven
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i guess in the end that's not really what i wanted to prove.

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let me back up lol

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sorry what are you gonna say

digital peak
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it's an ideal, where'd the maximality come from?

plain raven
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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

digital peak
plain raven
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give me a second to think about this

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it's not too hard why that's true

digital peak
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no like, it's probably a thing that I should know

plain raven
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Oh right

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If R/I is a field

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then it has no non-trivial ideals other than the zero ideal

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if it has some nontrivial ideal I' then no element of I' can be invertible

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because the product of any x with its hypothesized inverse x^-1 would also be in the ideal

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and then xx^-1 = 1 would also be in the deal

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thus every element of R would be

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so this proves that the only ideals of a field are the zero ideal and the entire ring R

digital peak
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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

plain raven
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yeah.

digital peak
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if R/I is a field then J/I = R/I or I/I

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i.e. I is maximal

plain raven
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Right.

digital peak
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good refresher lmao

plain raven
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Cool

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Ok. i think like

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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

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so the quotient takes the two variables and replaces them with elements of C

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it gives a map C[x,y] -> C

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which sends x to a and y to b

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that proves that (x-a,y-b) is maximal, because it's the kernel of this homomorphism

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does that make sense?

digital peak
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sure

plain raven
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So, since (x-a,y-b) \subset I(V(x-a,y-b)), and it's maximal, the equality is strict.

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Question: are there any maximal ideals in C[x,y] that don't arise from points in this way?

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is every maximal ideal generated by (x-a,y-b) for some a,b?

digital peak
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but that's fortunatley not the case

plain raven
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Yeah. Right. We know that not every function vanishes on V(x-a,y-b) = (a,b). for example no nonzero constant function

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So the answer to this question turns out to be again, no!

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all maximal ideals in C[x,y] correspond to points!

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this is another corollary of hilberts' nullstellensatz

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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

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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

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so since we have only polynomial functions, and later rational functions

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we can take like a very coarse topology

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here we're doing to define the Zariski topology on C^2 by taking the closed sets to be exactly the algebraic ones

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it's not too hard to show that this is indeed a topology

digital peak
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ok

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though

plain raven
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?

digital peak
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that makes very few functions C^2 -> ... continuous

plain raven
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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

digital peak
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then that's not really motivating

plain raven
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it's algebraic geometry lol

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the field is about the study of polynomial curves

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and stuff like that

digital peak
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if you consider Top(X, Y) then coarser Y means more maps, and coarser X means fewer maps

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both coarser means???

plain raven
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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.

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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

digital peak
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but if you make Y coarse as well then it kinda balances out

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so it's not clear what you've done

plain raven
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Maybe. Haha

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i really could not tell you what the set of continuous functions X-> Y looks like outside of the polynomial functions. no clue

digital peak
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if all spaces are discrete, then all functions are continuous

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on the other side of the spectrum, if all spaces are codiscrete, then again all functions are continuous

plain raven
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actually some of these spaces are pretty weird. I think the expected AG spaces are discrete, like a finite union of points.

digital peak
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(insert bell curve meme)

plain raven
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You don't really run into infinite unions of points because you couldn't define them by polynomials nicely

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btw the only algebraic sets in C (as a one-dimensional C-Vector space) are the finite sets

digital peak
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that's FTA

plain raven
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so it has the cofinite topology for us

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yeah

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exactly

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so there are lots of continous functions C ->C

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does that help

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as long as every fiber is finite right

digital peak
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a leap from vanishing sets to closed sets

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I guess a vanishing set has to be closed

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we're saying nothing else is closed?

plain raven
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yeah

digital peak
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and that's somehow enough to make polynomials continuous even outside their vanishing sets

plain raven
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yeah.

digital peak
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that's peculiar

plain raven
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uhh ok let me think about this.

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so let f(x,y) be a function from C^2 -> C

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take a closed set in C. that's just a finite union of points by FTA

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so it suffices to show that the preimage of a singleton is closed

digital peak
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it's obvious in the C case

plain raven
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and then do induction on the number of elementsd.

digital peak
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I'm trying to generalize

plain raven
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yeah, for function vectors C^n -> C^m of the form (f1, f2. .. fm) each one in n variables

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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

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and taking preimages plays nicely with taking (even infinitary) intersections

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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

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but i think that now (f1... fm)^{-1} (V(f ) ) is exactly V( (f(f1, f2,... fm)) )

digital peak
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nah

plain raven
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it's the vanishing set of the composition

digital peak
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the thing I'm looking for is

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wait what am I looking for

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not sure what the extent of our spaces is

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but suppose f : C^n -> C^m and x in C^n

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now suppose f(x) in A, where A is a vanishing set of some p : C^m -> C

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then what we want is p(f(x) - f(.))

plain raven
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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

digital peak
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which is a polynomial on C^n

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whose vanishing set is f^-1(A)

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so f is continuous at x, for all x

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ok that seems somewhat reasonable

plain raven
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ok. cool

digital peak
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it works because you use f to relate polynomials in cod(f) to those in dom(f)

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which only works if f is polynomial itself

plain raven
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I guess that's it.

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Yeah

digital peak
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well, not "only"

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but yeah

plain raven
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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

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so that they're homeomorphic as topological spaces by definition

digital peak
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hold up

plain raven
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sure

digital peak
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ok

plain raven
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and uh you can translate the definition of closed sets we gave into a condition on when a set of maximal ideals is closed

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so, say I is some ideal.

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Then V(I) is a closed set in C^2 by the definition of the topology

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(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).

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It's about the inclusion reversing correspondence i guess

digital peak
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sure I guess

plain raven
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(a,b) \in V(I) iff {(a,b)} \subset V(I) iff I({(a,b)}) \superset I

digital peak
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I superset I

plain raven
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sorry.

digital peak
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sounds adjointy

plain raven
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yeah that's what i'm using i think

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{(a,b)} \subset V(I) iff I \subset I(a,b)

digital peak
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yeah this is the Hom = Hom version

plain raven
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it's just taking transposes i think

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ok cool

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yeah so we arrive at

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the definition of the topology on maximal ideals

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which is that the closed sets are of the form V(I) = { m | I \subset m }

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hopefully that provides a little intuition for the spec construction

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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

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one other thing

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if f : C[x,y] -> C[x,y,z] is a ring homomorphism

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say it sends x to some f1 and y to some f2

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ok let me say this.

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A basic concept of geometry is that if you have a good map of spaces f : X -> Y

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and you look at the ring of functions on Y

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say from Y into some fixed ring R

digital peak
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sheaves 🥴

plain raven
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then you should be able to pull back the function along f and get a function X -> R

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so like

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if I have a polynomial function f : C^3 -> C^2

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then this should give a homomorphism C[x,y] -> C[x,y,z] by precomposition

digital peak
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and that describes all polynomial functions

plain raven
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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

digital peak
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that's really weird

plain raven
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so you can associate to this the polynomial function <f(x,y,z), g(x,y,z)> : C^3 -> C^2

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yeah it's pretty weird i agree

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making sure this shit all works right takes some work

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hmm

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one slight generalization i should mention is that our techniques are easily adaptable to closed subspaces of C^n

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if A is an algebraic set in C^n

digital peak
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closed as in zariski-closed

plain raven
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yeah.

digital peak
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that did not immediately click

plain raven
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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

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so you're saying, yes give me the usual polynomial functions but identify them if they agree everywhere on A

digital peak
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wait

plain raven
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sure

digital peak
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somehow I missed the part where we went from C to C^n

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on C the topology is cofinite

plain raven
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Yeah

digital peak
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but on C^n it's more weird

plain raven
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yeah it has lots of closed sets

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so what are you concerned about in this setting

digital peak
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the fact that I missed the transition where we're no longer talking about cofinite sets

plain raven
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yeah so an example of this would be like

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the algebraic subset V(y-x^2) in C^2

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the ideal is generated by a single polynomial, y-x^2

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and the closed set is the parabola y=x^2

digital peak
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wouldn't it be the whole riemann surface

plain raven
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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

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yeah i'm just visualizing this in R^2 because i can't see for shit in C^2

digital peak
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but ok

plain raven
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we still say 'curve' tho, even tho it's a surface, because it's 1-dimensional over C

orchid forge
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it's just a torus minus a point 4Head

plain raven
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😮

orchid forge
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wait no, a sphere minus a point

digital peak
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so a point then?

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based path induction

plain raven
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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)

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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

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and again this induces a ring homomorphism (C[y1....ym]/I(B)) -> (C[x1...xn]/I(A))

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and vice versa

digital peak
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hmmCat I'll need to think about that correspondence a bit

plain raven
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and the same logic as before works out but you can do it

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so to sum up this correspondence

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what are the properties of this ring C[x1...xn]/I(A)

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well

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I(A) was a radical ideal, remember

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this was hilbert's nullstellensatz

digital peak
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radical?

plain raven
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oh sorry it satisfies f^n in I for some integer n implies f in I

digital peak
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o

plain raven
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and like

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it's not hard to see that when you quotient out by this ideal you get a ring with the property

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f^n = 0 -> f =0

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so introduce a name for this, we'll call it "reduced"

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so a ring is reduced if the zero ideal is radical

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too much jargon smh

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smh

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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

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here affine basically means that it's embedded in C^n

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in contrast to like a more general object which is glued together out of coordinate charts which are locally in C^n

digital peak
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not related to the other affine whatsoever?

plain raven
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not that i know of.

digital peak
plain raven
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like how a manifold is glued together out of open subsets of R^n

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a manifold which could be embedded in R^n or which is embedded in R^n might be thought of as affine but like

digital peak
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flashback to covariant vector vs covariant functor

plain raven
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Hahahaha

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yeah

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a more general manifold which is just thought of as being glued together out of open subsets is not affine

digital peak
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why do names exist, we should refer to properties by the merkle hash of their definitions

plain raven
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lmao

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uh

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ok what are the other interesting properties of those rings

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they're finitely generated as algebras by the variables x1...xn

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that's pretty much it

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so

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what we have is that

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there is an equivalence of categories between

digital peak
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"those rings" --- reduced?

plain raven
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  • the category of affine varieties and polynomial maps between them
  • the (opposite) category of finitely generated, reduced C-algebras and homomorphisms between them
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yeah reduced

digital peak
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C-algebras as in algebras over C the field?

plain raven
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yeah

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so this basic duality between the algebraic side and the geometric side is the starting point for a lot of interesting algebraic geometry

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this is kind of where it starts

digital peak
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hmmmmm

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I think I kinda see

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this is like the upgraded version of the toy C^k -> C^m vs C[x1...xm] -> C[x1...xk]

plain raven
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yeah. not too far upgraded, all we did is quotient out by some ideals and you have to check that that works

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which isn't too bad

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just a standard algebra exercise

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annoying

digital peak
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so I'm assuming there's things like "manifold" "varieties"?

plain raven
#

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.

digital peak
#

yup that's projective line

plain raven
#

it's convenient to fix a unique representative by scaling so that the first coordinate is 1

digital peak
#

so far looks like a circle

plain raven
#

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

digital peak
#

oh wait C not R

#

so a sphere then

plain raven
#

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

digital peak
#

in a whatever manifold, we want the chart transition maps to be whatever

plain raven
#

Yeah.

digital peak
#

what happens here

plain raven
#

uh, locally rational transition maps are the basic morphisms

digital peak
plain raven
#

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

digital peak
#

why rational

plain raven
#

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

digital peak
#

intuitively I would want to adjoin inverses of polynomials

#

not reciprocals

plain raven
#

wait like inverses in terms of function composition

digital peak
#

yeah

plain raven
#

mm that's pretty weird

digital peak
#

because a transition map is f . g^-1

plain raven
#

ok. let me think about that

digital peak
#

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

plain raven
#

ok maybe this is pushing it but

#

say i have the affine line

#

it's just a line, it's C

digital peak
#

wait

#

is the inverse of a rational function even always rational?

plain raven
#

i don't think that these should have inverses necessarily

digital peak
#

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

plain raven
#

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

digital peak
#

sounds very restrictive

#

not sure what the word is in english, but az+b/cz+d are such

plain raven
#

my memory is a bit foggy wrt these questions you're asking

digital peak
#

anyway I wanted to bring up that I guess x is a polynomial of y and x/y

plain raven
#

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

digital peak
#

but that would mean cbrt(x) is also

plain raven
#

i think i'm going to go to bed early.

#

Uh can you explain that

#

i don't know why you'd say that

digital peak
#

y = cbrt(x) is the same curve as y^3 = x

plain raven
#

hm

digital peak
#

anyway thanks for all this

plain raven
#

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

shy moss
#

a noetherian space is reducible?

tough imp
#

Not necessarily

#

Spec Z for example is irreducible

#

Meanwhile Spec Z x Z is Noetherian but is reducible

honest narwhal
#

So this maybe goes here

#

Let's do some differential operator stuff

gentle ospreyBOT
#

Sloth King Daminark

#

Sloth King Daminark

honest narwhal
#

:/

orchid forge
gritty widget
digital wraith
#

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

orchid forge
#

with what open cover?

digital wraith
#

I was trying a few different ones

#

But now I see neither works

orchid forge
digital wraith
#

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?

orchid forge
#

that should be fine

digital wraith
#

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]

orchid forge
#

not sure what you mean by upper left and bottom right squares

#

but i would also do it with the fundamental polygon

digital wraith
#

Don't know what that is

orchid forge
#

the presentation of the klein bottle in terms of a labeled square

#

with orientations

digital wraith
#

No that's what I mean

orchid forge
#

yeah, i'm saying that's a good way to do it

digital wraith
#

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

orchid forge
#

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

digital wraith
#

*Deformation retract of a mobius band

orchid forge
#

in case you're still looking at this

#

try cutting like this

orchid forge
#

actually you probably want to make a vertical cut Hmmm

coral pawn
#

Is the identity point on an elliptic curve always of degree one ?

gentle ospreyBOT
minor hornet
#

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?

hollow harbor
#

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.

minor hornet
#

interesting. so we'd get like a countable sequence of topologies for the same function space and metric?

hollow harbor
#

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.

lunar yoke
#

Thanks for the writeup ryccatthumbsup

#

I had a first course in functional analysis like a year ago, but it seems i forgot most of itmonkey

hollow harbor
#

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

lunar yoke
#

i remember for just continuous functions the dual space was some weird space consisting of measures, right?

hollow harbor
#

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

lunar yoke
#

oh yeah it hink we only had it for compact sets in R^n, nice that this extends to that generality

hollow harbor
#

radon = compact sets have finite measure, open sets approximate measurable sets above, compact sets approximate open sets below.

lunar yoke
#

lebesgue is radon then right?

hollow harbor
#

(for positive radon measures. for negative ones, just subtract 2 positive ones)

hollow harbor
plain raven
#

is this definitional

hollow harbor
#

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.

plain raven
#

or a consequence of some cool theorem

hollow harbor
#

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

plain raven
#

I'm a complete asshole

#

which one should I pick

hollow harbor
#

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!

plain raven
#

yeah i've been confused about this in the past

hollow harbor
#

which is why people sometimes call it Riesz-Markov-Kakutani representation, but no one actually calls it that

gritty widget
#

what do we mean when we say some object

#

corepresents something

#

is i saying that Hom(object, -)

#

is isomorphic to some F(-)?

plain raven
#

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

uncut surge
#

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

cedar pebble
#

no this should be fine I think

#

forgetting f_0 this is just the usual anti-symmetrization map (without the 1/k!)

uncut surge
#

wait really how

#

the f_0 is still there, right

cedar pebble
#

sure, but that factors out

uncut surge
#

why does this not depend on the choice of f_1

cedar pebble
#

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

uncut surge
#

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

cedar pebble
#

source?

uncut surge
#

i don't think this is largely relevant for what they're doing, but the morphism only goes one way i'm breddi sure

cedar pebble
#

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

uncut surge
#

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

cedar pebble
#

I'd write an email yea

feral dragon
#

Write an email and see if the author responds with an interest in it. I think they would.

cedar pebble
#

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

uncut surge
#

ye, appreciated!

west pawn
#

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...

lunar yoke
#

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

cedar pebble
#

^

#

yup, elements of a neighborhood basis are called basic opens

west pawn
#

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?

cedar pebble
#

no, typically you choose a smaller neighborhood basis

empty grove
#

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

west pawn
#

Ok, thankyou. I think that's what it's referring to, which helps a lot.

pearl holly
#

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 bleak

#

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

orchid forge
gritty widget
#

god that looks messy

pearl holly
#

Ye right that makes sense. Thank you! catKing

orchid forge
#

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

pearl holly
#

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?

orchid forge
#

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)

pearl holly
#

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! catthumbsup

orchid forge
#

The i=n term of the first sum is cancels with the i=(n-1) term of the second

pearl holly
#

Okay right I see. Thank you! catKing

wise panther
#

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?

gentle ospreyBOT
orchid forge
#

Any kind of function? Or a continuous one? A homotopy?

wise panther
#

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

orchid forge
#

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

wise panther
#

But there isn't a unique way to do that

orchid forge
#

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"

gentle ospreyBOT
#

Kogasa

orchid forge
#

In particular, when the subcomplex is contractible.

orchid forge
orchid forge
#

i'm pretty sure my solution works, but it's not very short

orchid forge
#

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

wise panther
#

Thanks @orchid forge , I'll meditate on this and see if it goes anywhere

trail tiger
#

What does restricted mean

#

Restricted tensor algebra

orchid forge
#

verboten

trail tiger
loud scarab
#

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)

ivory dragon
#

≥ 0

#

munkres is showing its nonzero

loud scarab
#

Thank you!

gritty widget
#

Parallelgrom ABCD whos side AB is 2x bigger than BC. M is the center of side CD, determine the angle AMB

tough imp
raw sedge
fathom cave
#

dang, ur doing cohomology 😮 @pearl holly
I should stop slacking off lol

gritty widget
#

toki hijo de puta doki.....

bleak path
#

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

gritty widget
#

that's what id think it is

gritty widget
#

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

bleak path
gritty widget
#

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

tawny jewel
#

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

gritty widget
#

read the first few pages of hatcher

tawny jewel
#

Alright, brb!

gritty widget
#

sorry thats definetly way more than you need but

#

i was mainly hoping the pictures might spell it out

tawny jewel
#

Seems a bit outreaching for me 😦 I'm only in calculus 3 class right now

bleak path
#

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"

#

$\kappa(x) \geq R^{-1}$

gentle ospreyBOT
gritty widget
#

are u sure

bleak path
#

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}"

bleak path
#

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

gritty widget
#

oh, i misread what you wrote, sorry

bleak path
#

cheers, no worries

gritty widget
#

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

tawny jewel
#

Yeah, homeomorphism can bend, twist, stretch, and wrinkle

#

But I'm kinda not very happy with that XD

gritty widget
#

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

tawny jewel
#

Yeah

#

It kinda gives me the answer

#

But not the intuition

#

Like

bleak path
#

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.

gritty widget
#

wait are you guys in the same class?

tawny jewel
#

Hm I see, so by applying these transformations

#

I'm just composing well-known homeomorphisms

bleak path
#

I doubt so, since I'm not taking calc 3

tawny jewel
#

Hm I don't know how you got that impression @gritty widget but we're not 🤣

gritty widget
#

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

tawny jewel
#

Oh 🤣 well nvm, seems like I got the intuition for homeomorphisms

#

But the problem is now uninteresting to me

#

thanks

bleak path
obtuse meteor
#

Geometry

gritty widget
#

geometry

pearl holly
#

geometry

cedar pebble
#

The torus is not supposed to be hyperbolic REEEE

obtuse meteor
#

Clearly you’re not ascended

gritty widget
#

i am blue now

#

this brings me great joy

bleak path
#

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

hollow harbor
#

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).

bleak path
hollow harbor
#

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)

bleak path
#

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?

hollow harbor
#

Oh

#

No

#

These are different uses of the word "norm"

bleak path
#

Would this be what you mean by norm in this context?

hollow harbor
#

"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.

bleak path
#

Thank you for clarifying, informal usage in my earlier weeks definitely didn't help

hollow harbor
#

The words "normal/norm" are criminally overused in math for tons and tons of different things lol

bleak path
#

I noticed lol, along with proper

hollow harbor
#

Normal subgroup, normal operator, normal vector, normalized, norm, etc

bleak path
#

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?

bleak path
#

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

remote beacon
#

How do I prove SO(3) is diffeomorphic to RP^3

gentle ospreyBOT
#

Todd Male

#

Todd Male

bleak path
#

Thank you for this, I will spend some time thinking about it. I greatly appreciate the help of both you and rew york city.

flint cove
dreamy smelt
#

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

empty grove
#

Why is that x sideways

#

😵‍💫

dreamy smelt
#

LMAO

#

Wikipedia moment

empty grove
dreamy smelt
#

Oh 🤦‍♂️

#

thanks

#

My mind was just deleting the | | when I was checking points x<0 with full confusion lol

gritty widget
#

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

coral pivot
#

can you give more details on what the topics are?

gritty widget
#

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

empty grove
#

I'm guessing it's affine space

gritty widget
#

okay sir what do I need to study before I get to understand affine space?

empty grove
#

Do you know anything about vector spaces?

gritty widget
#

too little

empty grove
#

That is usually the starting point, but you can study affine spaces directly as long as you have intuition for what vectors are

ivory dragon
#

what type of course is this

#

like whats the course name

gritty widget
#

analytic geometry

#

university second

empty grove
#

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

gritty widget
#

knowing vector spaces is enough for the course?

empty grove
#

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

gritty widget
#

shall I translate the homework question and paste here?

empty grove
#

Yeah

gritty widget
#

but after I pee, I'll tag you, hold on a few mins

tough imp
#

World’s longest pee

gritty widget
#

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.

gentle ospreyBOT
#

junait

gritty widget
#

it's a miracle for me to translate this into english

#

does it make sense

empty grove
#

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 monkey ) so maybe check with your instructor if this is what they mean

gritty widget
#

do you mean the question is not clear enough in terms of the definition of affine space

empty grove
#

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

gritty widget
#

I got it, so what should I study, linear algebra?

empty grove
#

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

gritty widget
#

okay thank you sir

#

I appreciate it

maiden oracle
#

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?

empty grove
#

yeah you could do it

maiden oracle
#

k good to know

plain raven
#

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

empty grove
#

oh true

#

@maiden oracle mb it doesn't work catThink

abstract pagoda
#

whats an example of non abelian fundemental group

hollow harbor
#

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

stone cipher
#

Hi. Guys,.... I know that every subspace of a separable metric space is separable. Does that hold for any topological space too?

#

thx

finite heath
#

Cl(A) = A U A', so while limit points are not necessarily contained in A, they must be contained in the boundary of A?

bleak path
#

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.

hollow harbor
#

Well done! These questions are tricky

pearl holly
#

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 blobsweat

tough imp
#

Isn’t your cohomology

#

Defined to be quotients of things that are R-modules

#

That gives you the R-module structure

pearl holly
#

I don't even know anymore

tough imp
#

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?

tough imp
pearl holly
#

I mean the homology of the of the chain complex I get by dualizing C_n(X) to Hom(C_n(X), R)

tough imp
#

Yeah

pearl holly
#

oooh okay I see I see

tough imp
#

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

tough imp
#

Are these like abelian group Homs?

#

Slim it literally matters

#

If you say restrict to ring maps between something

pearl holly
#

bruh I don't even know

tough imp
#

It isn’t a module

#

Yeah so I think it’ll be linear maps

pearl holly
#

ye

tough imp
#

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

pearl holly
#

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?

tough imp
#

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

pearl holly
#

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?

tough imp
#

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?

pearl holly
#

wtf is degree 0?

tough imp
#

The cohomology rinf

#

Is like

#

A big ole direct sum

#

Yeah?

pearl holly
#

yeee

tough imp
#

Indexed by n

pearl holly
#

oh so H^0?

tough imp
#

Right

#

So that’s probably easier written a different way

#

Like is it just R?

pearl holly
#

no it turns out that H^0(X) is iso to Hom(H_0(X), R) by the universal coefficient thing

tough imp
#

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

pearl holly
#

H_0(X) is generated by the path connected components in your space so I guess that it is a free Z module?

tough imp
#

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

pearl holly
#

ye right I see

tough imp
#

Idk I think it’s probably an R-algebra

#

Anyway in terms of if R is a field

#

Actually irrelevant

pearl holly
#

okay I see

tough imp
#

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

pearl holly
#

yeah okay I see. Thank you so much for making stuff a lot clearer! catthumbsup

#

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

gritty widget
#

Hello I was minding how this conclusion is made, cant figure it out

surreal estuary
#

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?

surreal estuary
#

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

surreal estuary
finite heath
#

Can anyone help me with this problem:

tough imp
#

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

finite heath
tough imp
#

Think about it, if I just tell you then you won’t learn

finite heath
#

U is infinite, but aren't sequences infinite too?

fair idol
#

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

bronze lake
fair idol
#

That's true, I should have prefaced this question by the assumption of the inverse function theorem

gentle ospreyBOT
#

fajitas

bronze lake
#

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? catThink idk

fair idol
#

Hmmmmmmm that's not a bad idea 💡

gritty widget
#

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)]

gentle ospreyBOT
#

Manzareh

gritty widget
#

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

wise ruin
#

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?

orchid forge
#

the "empty union" is the empty set

#

this is technically speaking a definition / convention, not something which should necessarily be obvious

wise ruin
#

Ok thank you!

abstract pagoda
#

is baycentric division only brought up for excision theorem?

gritty widget
orchid forge
#

i'll be honest i tried doing it and shit got out of hand pretty quickly

#

and i got bored

gritty widget
#

i even tried following my proof for the forward direction after showing that its spherical and i'm still handling ugly trig trees

empty grove
#

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 monkey

#

I have no intuition for maps of schemes in general I feel

stone barn
#

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

empty grove
#

This isn't the right place, you should ask in a CS server probably (see #old-network)

hollow harbor
#

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

plain raven
#

@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"