#point-set-topology
1 messages · Page 93 of 1
oh
no but how did Borel get into this
Mathematicians are only allowed to do one thing
So I'm not too familiar with the actual history, but the "obvious" etymology of Borel equivariant cohomology is that it's the (nonequivariant) cohomology of the "Borel" construction
i dont actually know if borel is responsible for the borel construction
sounds wild to me
it was a real hootenanny shindig hullabaloo
Wait which Borel are we talking about
||Great borel algebras and also the best suitor for turning your homology into cohomology too||
What are some examples of it being used in non-derived/spectral settings of AG?
one that comes to mind is that there are analogues of all these complex oriented cohomology theories in the setting of motivic homotopy theory, and sometimes these are useful things to study
e.g. the complex K-theory spectrum KU gets replaced by the algebraic K-theory spectrum KGL, the complex cobordism spectrum MU gets replaced by the algebraic cobordism spectrum MGL, etc
Okay, not really avoiding using the two as long as it ties back to "classically" motivated questions
Serre's intersection formula comes to mind
well sure but that's not so much related to this spectral stuff as it is related to derived AG in a more basic sense
I see. What motivated you to familiarize yourself with the topic?
I mean I like homotopy theory and I like motivic stuff
I should say a very nice application of the algebraic cobordism spectrum is you can characterize it and construct it in terms of double point degenerations, and Levine-Pandharipande used this to prove a bunch of conjectures on degree 0 Donandson-Thomas theory for threefolds
so these fancy constructions do have concrete applications in AG
Aren't there applications of the aforementioned stuff to motivic stuff?
there are yeah
one route to studying motives is through motivic stable homotopy theory
in some sense motives are capturing everything at height 0 to use the chromatic analogy
Dont the cohomology theories in AG care about "higher height data"?
not the usual cohomology theories, but you can construct various cohomology theories that see things (mostly torsion phenomenon) of height >0
there is an interesting notion introduced recently by Vishnik of "torsion motives"
Are you familiar with the spectrum stuff?
(these are Chow motives whose identity morphism is killed by a natural number)
you can study these in a chromatic sort of way
I thought you basically knew everything, including (kind of) side subjects
I certainly do not know everything!
I used to be a lot more interested in stable homotopy theory stuff before I got more into AG/arithmetic
Ahhhh
I am kind of rusty on that stuff but I remember parts of it
Well that's the impression I got (you knowing every math)
like I know the basics but can't really keep up with actual working AT people who do this stuff
Imagine knowing everything about topology.
You'd become the second coming of J. Munkres, and the guy isn't even dead.
Jokes aside that's probably legit impossible to do.
Even for the most avid math goblin that lives off of cave moss and math articles on esoteric math subjects.
Are these mostly of formal interest or do they arrive as more natural research problems?
I think there are quite a few natural motivations for these things and they often have concrete applications
another application worth mentioning is that the current best computations of stable homotopy groups of spheres use the motivic stable homotopy category as a tool
Motivic stable homotopy 
yes it's a fancier category but a natural one to consider for a lot of applications
Feels like Motivic stuff is infecting everything
"Why was 6 afraid of 7?"
And here I am thinking it's because 7 was a registered sixoffender
I wish I understood enough motivic homotopy to understand its burgeoning significance
ofc cellular C-motivic spectra are starting to become fundamental in stable homotopy because of the connection with synthetic spectra/the asseq
and R-motivic spectra betti realize to a large portion of the computational C2-equivariant results that have come out lately (dont think about odd primes youll get sad)
but I've sensed a lot of hype from my algebraic number theorist friends lately about non-A1 motivic homotopy and its eventual role in NT and AG, which seems quite interesting
A shot
Compile Error! Click the
reaction for more information.
(You may edit your message to recompile.)
whey did you wrap everything in $$?
Let $A$ be a closed subspace of a normal space $X$, and let $f: A \rightarrow Y$ be a continuous map. The adjunction space $Z$ of $X$ to $Y$ by $f$ is defined as the quotient space of the disjoint union of $X$ and $Y$ by the identification $x \in A = f(x) \in Y$ for all $x \in A$.
We want to prove that if $X$ and $Y$ are normal spaces, then $Z$ is also a normal space.
c squared
Well, the disjoint union of X and Y is normal, and pre-images of disjoint closed sets are disjoint and closed.
What fails when you try to stitch the open sets separating both in the pre-image into open sets in Z?
When it says "$f_n\to f$ in $B(S)$", I assume "in $B(S)$" really means "with respect to the metric associated with $B(S)$"?
Douglas
f is supposed to be an element of B(S) so I doubt "in" means "element of"
yes
small remark: id avoid using the notation L^infty for this space, since it means a slightly different notion of bounded almost everywhere functions.
I assume the L thing is Lebesgue integrable?
yeah
Yeah I haven't done measure theory and I don't think it matters for what I've done so far (or will be doing next year), so I will avoid using measure theoretic notation
follow up regarding the proof itself, when proving the converse it says "one has d(f_n, f)≤e<2e". How does this follow from the supposition that f_n converges uniformly to f?
I realise uniform convergence means that |f_n (x)-f(x)|<e for all x in S, but |f_n(x)-f(x)| might not actually attain the value sup|f_n(x)-f(x)|, e.g. if S is an open interval then there might not be a maximum value on S of the modulus, so we can't assume there is an a in S for which |f_n(a) -f(a)|=sup|f(x)-f_n(x)|<e
I hope that makes sense
how does not attaining the sup change the proof tho? you still get
d(f,fn)
How else would it follow?
What I was thinking was that, naively, you might say "because $|f(x)-f_n(x)|<\epsilon,\ \forall x\in S$, then in particular we have $|f(x_0)-f_n (x_0)|<\epsilon$ for $x_0\in S\ s.t.\ |f(x_0)-f_n (x_0)|=\sup|f(x)-f_n (x)|$."
However, there is no requirement for such $x_0\in S$ to exist.
Douglas
all you need to use is $$|f(x)|<\varepsilon, \forall x\in S \implies sup_{x \in S} |f(x)| \leq \varepsilon$$
James Banach
regardless of whether f attains this sup
it does however need to exist ofcourse (again regardless of whether f attains it)
thats where B(S) comes into play
"it" being what?
the supremum
Oh right yeah
I'd have to have a think about how to prove this but it makes sense intuitively (thinking about graphs)
is there an example of a group with the following 4 properties
- finitely presented
- incomputable word problem
- computable homology groups
- infinite cohomological dimension
In the typical example it is hard to distinguish the group from the zero group, and thus the homology is all zero, in particular computable
You can force infinite dimension by multiplying by Z/p
Can someone help me check if my solution is correct?
what is alpha
alpha refers to the character look like A in question
if X a topology and A basis in X, mean A subset of X and every x∈A mean every x∈X because A subset of X and every point x on A x∈X
How are we getting the highlighted bit?
If there is no $d$-ball inside the $\rho$-ball, that just means there must be at least one point in $B_s ^d (x)$ that is not in $B_r ^{\rho}(x)$, but if this happens finite times and the final time is $x_m$, then you can still have $x_n$ being inside both balls for all sufficiently large $n>m$.
Douglas
i would write this out more carefuly. its difficult to understand what you are saying
Maybe I've expressed myself very poorly here, but hopefully you get the point I'm trying to make
yes but i think he said X and S topology and A basis in X and S, let Y topology on A. X intersection S= Y
the sequence of (sn,d) balls cannot be contained in the (r,rho) ball
the "only finitely many" thing you're worried about can't happen
you have infinitely many radii sn going to zero
so you can always choose xn in the (sn,d) ball and not in the (r,rho) ball
Oh hang on... I think my concern is resolved by the fact that all B^d _{s_n} are not contained in the rho-ball, so x_1 can't be in the rho ball because of the d-ball with radius s_1,... and x_n can't be in the rho ball because of the d-ball with radius s_n, so you just end up with every x_n being outside of the rho ball
I was not thinking of the d ball as "contracting" as s_n tends to zero
But it makes sense now
I tried to prove that all union of basis elements A equals intersection of topology D.
so since A(the character look like A) is in intersection of all topology D, it implies that all union of elements A is contained in D
call it script A or use latex to type this up so we don't have misunderstandings
and the other direction is to assume every x in D, it means x contained in every topology T. since there is a topology T1 generated by basis script A, then x is in one A, which means x is in all unions of A
what is x?
x a point on A and a point on X
that is not what you need to show.
oh what
no, i was asking karlking.
i think by definiton
okay, x is in D
if x not a point on A and x a point on X it is not logic
so is it correct to show all unions of A equals D?
i think no
but ı not sure
this part is correct. if $\mathcal{T}$ is any topology containing $\mathcal{A}$, then it will contain any open subset generated by $\mathcal{A}$.
for the opposite inclusion, if you look at what the intersection of all topologies containing $\mathcal{A}$ is: $$\bigcap_{\substack{\mathcal{T}\text{ a top. on $X$}\\mathcal{T}\supseteq\mathcal{A}}}\mathcal{T},$$and you know that the topology generated by $\mathcal{A}$ contains $\mathcal{A}$, so...
D a topology isnt it?
c squared
if D a topology and A basis of D i think no it is not possible
but if D a set and T a topology on D and A basis of T yes it is possible
@fierce lily
this actually leads to a one line proof
How to build intuition for fine/coarse?
I get that we're saying $x_n \to_{d_{\infty}} x \implies x_n \to_{d_1} x$ and so we say the topology generated by $d_{\infty}$ is finer, but I don't really have a good mental picture of what's going on.
I know that the discrete topology, generated by the discrete metric (under which only eventually-constant sequences converge), is the finest topology, so in my head finer=fewer sequences converge, but I'm not really sure how good this is
Douglas
is that really intuition or just
a rephrasing of the definition
That's my point
if it feels intuitive to you then certainly it is fine.. as it is equivalent
Hence "I don't really have a good mental picture"
not sure what kind of picture you are hoping for
Idk. How do other people understand this stuff intuitively?
I usually visualize finer topologies like a focused lense, with coarser topologies looking blurrier relative to them
i mean you can think of the collection of open sets as like a measuring device
yeah
you can pretend that the topology allows to distinguish points up to open sets
like if i give you points x,y, and i tell you the list of open sets which contain x but not y, and vice versa
As an example:
then depending on how fine the topology is, you may or may not be able to determine whether x=y
Consider a descending chain of topologies $T_1 \supset T_2 \supset \cdots \supset T_n$
If two points are topologically distinguishable in T_j, then they are in all T_i with i < j
However, points may be distinguishable in T_i, but not in T_j, with j > i
So, as you get closer to T_1, i.e. as you get finer and finer topologies, you can see the points more clearly
eigenpuppet
So how does that align with the case of metrizable topologies?
I think my problem is that if we're saying $x_n \to_{d_{\infty}} x \implies x_n \to_{d_1} x$ means $d_\infty$ is finer, then that's equivalent to $B_r ^{d_\infty} (x) \subseteq B_r ^{d_1}(x)$, and so I think subset=finer, but when you look at the topologies as $\tau_1\subseteq \tau_{\infty}$, the finer topology is actually a superset
Douglas
i strongly doubt that implication is true
Which one?
You can think of the ball inclusion as the sets being “tighter.” However, the topology itself is a superset, because it contains all of the old open sets, plus some new ones
Yes you're right I think
I'm forgetting "for sufficiently large n"
There is no guarantee that they will be subsets
Just because d_inf is finer
what
there is no dependence on n in what you wrote
you said one ball around x is contained in the other
for a fixed radius
There is.
x_n converging to x under d_inf means that for all r>0, for sufficiently large n, x_n will be in the metric-d_inf ball of radius r
But what this means is that for small values of n, x_n can lie outside that ball
yes that is the definition of convergence
but again
you are talking about comparing balls in different metrics
there is no reason why one would be contained in the other
so do you mean my forward proof is correct, but the opposite direction only needs to argue that intersection of topology is a topology generated by A because it contains A?
in general
B^dinfty(x) subset B^d1(x) is not a statement which has any dependence on n
Yes... I realise that now. I'm agreeing with you that what I claimed was equivalent was not in fact equivalent
ok
but im saying that
there is not really a way to salvage it as far as i can tell
which you seemed to be asserting
if i misunderstood then sorry
I'm not, I'm just clarifying where I've made mistakes in my reasoning
i mean suppose xn was contained in B_r(x) for all n
The reason I said this was because I thought $x_n$ converges under $d_{\infty}$, and this implies convergence under $d_1$, so $x_n \in B_r ^{d_{\infty}} (x) \implies x_n \in B_r ^{d_1} (x)$ and so the former is a subset of the latter, but this is wrong
Douglas
Ye
Is it normal to do metric spaces before not-neccesarily-metrizable topological spaces?
however based on your notation i am guessing maybe you are thinking of the ell^1 and ell^infty distance on R^d
yes
yes
balls in the ell^p metrics actually can be compared
but thats a very special situation
Idk what you mean by ell^
Very much so, metric spaces are much nicer and more similar to other stuff you've seen
These were the examples the lecturer was using
yeah these are called L^p distances (or ell^p when its a sequence space instead of a function space, imo a pointless convention)
for p = 1 and infty
anyway
note d_infty >= d_1
as i am sure you have seen already
yes
so you really do have the inclusion of balls
but yh in general it doesnt work like that
this is extremely strong
Do you have any good topology video recommendations? My intuition for this is pretty... lacking
And I think just taking notes from a textbook really isn't enough to build it
textbook/lecture notes
Point set/general topology
i dont
@gritty widget what about you?
This one is pretty decent: https://m.youtube.com/watch?v=vv3JNSPKeEU&list=PLd8NbPjkXPliJunBhtDNMuFsnZPeHpm-0
We define topological spaces and give examples including the discrete, trivial, and metric topologies.
00:00 Introduction
00:39 Reference and Prerequisites
02:17 Motivation: Familiar Spaces
10:22 Definition: Topological Space
19:59 Example: Discrete Topology
23:56 Example: Trivial Topology
27:51 Example: A Small Topology
32:41 Example: Metric T...
is {0} a basis element of R_k? R_k has the basis element of (a,b)-K. K={1/n| n is in Z}
I don’t really have any good topology resources, sorry
I learned the point-set I know by reading Kolmogorov & Fomin’s chapter on it and some papers my prof sent me
why do some authors require that the sheets of a covering map be connected and some don't?
are those formulations equivalent?
i think yes it is possıble
No, they aren’t equivalent. Consider the case where the base is just a point. Worse, the case where the base is 2 points
If the base is connected and has a chosen base point, general covering spaces are sets with an action of the fundamental group. Connected covering spaces are sets with a transitive action of the covering group. These are related to sub groups
connected as in the sheets are connnected? or the covering space is connected?
I meant the covering space is connected. I’m not sure what sheets are, other than connected components of the covering space
for example, lee defines covering maps like this:
but munkres defines them like this:
This definition fails unless U is connected. If the base is locally connected and you only look at connected opens, then the sheets will be connected
which one?
Lee’s definition only makes sense for locally connected spaces
anyways
Munkres’s definition is better. But Lee’s definition works for manifolds, the topic of his book, which are locally connected
Oh yeah that's odd it mentions connected opens (to me)
I think it could be useful, but putting it in the definition is weird
that's what i mean yeah
im having a hard time trying to find a certain counterexample for the naturality of the splititng in the universal coefficient theorem, i want to find a chain map from a chain complex C to itself that doesnt produce a natural spliting, for this, consider the following in Z/2 coefficients
you should get a commutative diagram like this when applying naturality of the UCT
now, my question is: what is M_*
my guess is that its just M again, but im having a hard time trying to understand maps induced in homology
Maps on cycles will induce maps on homology, so yeah.
Pedantically, it is not exactly M, considering it has different domains
yeah, i see
well, what i’m saying is it can be represented by M
but yes, got it
Indeed.
Can someone explain why it generates topology different from R_L?
Take [√2, 2), is it open in this topology?
|| Let this is open in given topology, then by definition of open set, for √2 there exist a basis element B such that √2 in B and B is a subset of [√2,2).
Let B = [a,b) where a and b are rational numbers.
Then a< √2<b imply that a<(a+√2)/2 < √2 lie in B.
But B is contained in [√2,b) so its contradiction.
Hence lower limit topology is strictly finer than given topology. ||
Let f : X-> Y be continuous. If Z is a subspace of Y containing the image set f(X), then the function g: X-> Z obtained by restricting the range of f is continuous.
Reason:
Let S be open set in Z since Z is a subspace topology of Y so S is the intersection of Z and U, where U is open set in Y.
Now g^(-1) ( S) is intersection g^(-1) (Z) and g^(-1) (U).
And g = f, right?
Since Z contains f(X) and f is continuous mapping.
Hence, g^(-1)(S) = f^(-1)(U). Thus g is continuous.
Is it correct?
try thinking of a set that is open in the lower limit topology that isn't open in this one
I think so? This is essentially the universal property of the subspace topology
What does it mean by universal property?
So a universal property, in short, tells you what a mathematical object does, in terms of how to use it
In this case, what the subspace topology on Z does is let you convert continuous functions into Y contained in Z, into just continuous functions into Z
It’s much like the set-theory subset
What a subset Z of Y does is let you convert functions into Y contained in Z, to just functions into Z
And vice-versa
In topology though it’s important that you put the correct topology on Z, in this case the subspace one
Good point
Otherwise there’d no longer be a one-to-one correspondence between continuous functions into Z and continuous functions into Y that are contained in Z
That’s what your preimage check is for
This is nice to illustrate with a commutative diagram but
I’m assuming you don’t know what those are
Yes I am not sure about the Commutative diagram in topology
I learnt in abstract algebra
I mean I could show you if you want
Yes
Okay
Then there's a (natural) correspondence between "functions into Y contained in Z" and "functions into Z"
Here I've drawn functions as arrows between the domain X and codomain
Note that $f$ and $\tilde f$ aren't equal - they don't have the same domain and codomain, for one
Pseudonium
Nonetheless, we can relate them
Yes
Specifically, if Z is a subset of Y, there's an inclusion function from Z into Y, which we'll denote $\iota$
Pseudonium
What do you mean by functions f into Y contained in Z but we assume Z is a subset of Y
Yes
So what I mean is a function with codomain Y whose image is a subset of Z
Okay
Yes
E.g. if Y was the natural numbers, Z was the even numbers
Yes got it
Then I'm referring to "functions whose output is always even"
So we can relate f and tilde f with a commutative diagram
We can then phrase the universal property as follows
Given any f : X -> Y such that Im(f) is a subset of Z, there's a unique f tilde : X -> Z that makes this diagram commute
Conversely, given f tilde, you can recover f as f = iota o f tilde
f = tf' ?
Pseudonium
Okay
So in other words, $f(x) = (\iota \circ \tilde f)(x)$
Pseudonium
Which means $f(x) = \iota(\tilde f(x)) = \tilde f(x)$
Pseudonium
All we've done is change the codomain
What the commutative diagram does is relate f and f tilde
You'd still have to prove that the subset satisfies the universal property
This one
Yes
Which for set theory involves going into the weeds of what a function is
In terms of a function being a collection of ordered pairs (x, f(x))
Yes
So that's the version for set theory
We can reuse our diagrams when talking about topology
With additional information?
Continuous function
So, this is what the subspace topology does - continuous functions into Y whose image is contained in Z are (naturally) identified with continuous functions into Z
And specifically, this is how they're related
So you should check that $\iota : Z \to Y$ is indeed continuous
Pseudonium
And that if $f$ is continuous, so is $\tilde f$
Pseudonium
Yes
Both of these involve going into the weeds of what the subspace topology is
So the diagram tells us how they are related to each other
Yes
If you knew more category theory then the diagram gives you a way to prove it too
Cause the preimage is just a pullback
No
Means?
Uh
It's probably too much to explain for someone who doesn't know category theory..
Basically
For topology you have to talk about preimages
No problem
And there's a way to talk about preimages in category theory
As a universal property
Yes
But it's a bit more complicated than the universal property for subsets
And I feel like just showing you won't really help
Okay
X -- f --> Y
| |
f^-1(V) -> V
Yeah that
Whwn you have inclusion V -> Y, there is inclusion f^-1(V) -> X - basically subset
Yeah
The proof in mind does have to use the universal property of the pullback though
Which involves cones and stuff
Inclusion implies f^(-1)(V) is subset of X , identity mapping?
You can say, f^-1(V) is maximal among the sets which "satisfy" this diagram
Then what if there is element y in V such that there is no x such that f(x) = y ?
Then such element y has no "contribution" to the preimage f^-1(V).
Do you know classical definition of preimage?
Yes I see my mistake
Ah, I did not mean you made a mistake. Sorry if I phrased it like that
It's easy to be confused!
No no, actually thanks
No problem!
I know it is the closure of {1/n | n in N } so it is closed but how does its complement look like ?
Means?
Think of a real number
Is it 0? Is it of the form 1/n? If you said no to both, then it lies in the complement of A.
Like, do you want to know how it decomposes as an union of disjoint open intervals?
Yes
Sorry I don't understand this one
And also (1, oo) ?
actually what I said was wrong anyway
Yeah
You can consider like, map x -> xsin(π/x) i guess lol
Got it, thank you
I mean, you hopefully know how the complement of 0 or a single 1/n looks like
Yes
But that is a meme way to do it
Not sure
Well, work it out from definition then. As a treat exercise to the reader
An open interval (a,b) is all elements bigger than a and smaller than b
Can you draw the closed set
Finite intersections will be empty or open interval I am not sure about the infinite intersection of open intervals
I don't understand what you mean ? In the number line we can mention which are closed set
In general it's complicated. But in this case you can notice that any open interval stops getting smaller after finitely many steps
Yes because now I know it is union of (-∞,0), (1/n, 1/(n-1) ) and (1,∞) where n≥2
Or like, draw it out on the number line
Golden
According to this definition, is empty set contains in basis ?
I think no
Because it has one exercise which Topology has exactly one base?
I think indiscrete topology with non-empty set
The empty set of points is the union of the empty set of basis sets.
Sorry, I don't understand
The union of no sets is the empty set, so you don't need to list Ø explicitly in the basis for a topology.
But it's allowed to have superfluous elements in a basis (usually that cannot even be avoided) so there's no topological space that has exactly one basis.
But If I don't take empty set in basis then indiscrete topology has exactly one basis ?
If you only count one of the two possible bases, then yes, there's exacly one of the one you count.
Okay, thank you
Two 
i’m trying to understand the answer to this question in https://mathoverflow.net/questions/59938/examples-for-non-naturality-of-universal-coefficients-theorem:
- what is the map given by f? i understand that you can collapse the 1-skeleton of RP^2 to obtain S^2, but then they include the bottom cell into the suspension of RP^2, what exactly does that mean?
- i don’t understand the whole part where they show the self map on X induces identity in integral homology but not in Z/2-coefficients
i’m not too familiar with suspension, which might be the problem
It says that an open set is a union of the basis element but it is not clear that it implies converse
Yes
That's literally part of the definition of open sets
It says each non-empty open set is union of basis elements but it does not say that union of basis elements is open.
Maybe I am too bad in English
And the definition of basis states that it's a collection of open sets
I am talking about this definition
Yes, and it says "A collection Sigma of open sets is the base..."
Any union of open sets is an open set by the definition of topology
Yes, and the definition of basis presupposes that you already have a topology
And you pick the basis elements out of the open sets in that topology
And all elements of the base are open
Got it
I missed that point I thought they assumed this not necessarily open
If you've studied abstract algebra, you might've come across the notion of "generation"
Yes
"this subset of vectors spans this space"
"this subset of elements generates the group under addition"
Etc
Yes
Oh that's a good point
You might also encounter a "subbase", which is a subset of the topology that generates the topology under unions and finite intersections
Yes
How did we arrive at the axioms for a topological space? Looking at them, it seems hard to believe that they encode anything. Does anyone have any motivation?
that's very clever
Yeah, I think the neighborhood idea is the best motivation.
My mind is kinda blown
Also note that there are lots of competing (equivalent) definitions of topological space
Mhm
and only one that anyone uses
there's at least two
defining a topology by its open sets, and defining a topology by its closed sets
i joke though because presumably in pure poinset stuff you will use other things
i mean sure but those are kinda trivially equivalent
but yeah fair
The Kuratowski axioms
poland mentioned
there are a bunch of equivalent definitions (and it's insightful to be able to jump between them), but I think you just have to get used what type of information a topology encodes, they're a pretty fundamental object.
what i had in mind was more the inequivalent definitions
As a true patriot I use nothing else 🇵🇱
only useful topology comes from open balls of a metric 
This but unironically
algebraic geometers in shambles
Sad
Grothendieck topology 
Now try gluing things
Even the nonmetrizable ones are often constructed using systems of neighborhoods, so basically still balls
based, reject non-metrizable topologies
Oh I didn't even have sites in mind, but based
the spectrum of a ring tho
what even is a zariski
FINE what even are zariskis
idk if that is a serious question or a meme question
They sound like a brand of biscuits
I'm so happy I've never needed to know this 
Sad!
its a meme question dont bother answering. bloe is a known troll
I have alg geo exam in 2 days lol so i do know.
i culd pull a wrong answers only but i feel a bit nonengaging
bet ure trembling in ur boots that ive finally decided to start chatting down south
you need to leave.
lol
You can genuinely get quite a lot of mathematics done without straying far beyond the realm of metric topology.
im allowed to be here cause i got some awesome topological excitations i want to talk about
Topological excitations 
are you still a student ?
Masters yes
cool
impressive
I'm also a masters student but I don't think I have even 1/10th of your knowledge
u can classify spin states in solids depending on which stable states u can land on by perturbations
so its kinda natural to think of them with topological info
Is this be quantum material physics
i thought you are PhD student
usually called condensed matter but yeams
spin fields are maps of the form S^2 -> S^2 so u get states that go by pi_2(S^2) = Z
same goes for all sorts of systems
I should start my qm arc sometime
I follow the "bare minimum" philosophy, so always trying to do the least possible in terms of effort and studying
Be in tune with the Tao
is he also like this ?
Take the path of non-action
what is the lagrangian for taoism
The Tao that can be spoken is not the eternal Tao
im reading off a book but the symmetry structure of certain materials give smth called their order parameter
superconductors have U(1), spin systems S^2 as above, liquid crystals with an axial symmetry RP^2 and He-3 S^2xSO(3) which is kinda neat
lie groups my beloved
higher homotopy groups matter!
any hint to find the closed ball which is open with respect to the metric topology
Think about a one point space for example
One point space means X has only one point, then X is open and closed ball
Could anyone tell me what the difference between Hom F(Hn(C* ); F) and Hn(C*)'s dual is
is this proof that if f is a continuous bijection from X to Y such that X is compact, Y hausdorff, then f is a homeormophism correct? it is easier than the sol i found online
Let V be closed in X. Then V is compact in X hence f(V) is compact in Y. Since Y is hausdroff f(V) is closed as well, qed.
Yes
They are the same (by definition)
i guess there is a small : there to indicate that that is the case
Oh v.s. denotes vector space
I thought it meant versus to ask me to contemplate the difference
that is unfortunate
Lmao thank you so much
The difference is whether you take the dual before taking homology or after. If the ground ring is not a field, they might not be the same
If A is bounded subset of metric space X, does it mean for all x in X, a in A d(a,x) < M?
no, it just means that for all a,b in A, d(a,b) < M for some M
consider that this definition would make (0,1) an unbounded subset of R
if proving subspace topology. If there is an open set U in R * R such that U intersect Y={1/2} * (1/2, 1], then U should be {1/2} * (1/2, b) as b>1. Then we get an open interval U=( 1/2 * 1/2, 1/2 * b), is that argument correct?
Okay
Yes, that works
this
c.f. the UCT
Hi 2 function f,g and f homotopic to g f,g:X---->Y continuous. If f homotopic to g and f,g:X---->Y continuous H:X x I---->Y continuous and H(x,0)=f(x)and H(x,1)=g(x). By definition. My question f homotopic to g and I just say H(x,0)=f(x)and H(x,1)=g(x) and I not explain as H(x1,0) H(x1,1) would it be true? Because I saw a book and this book just explain H(x,0)=f(x)and H(x,1)=g(x).
@dawn geyser not sure I understand your question
I mean A example just identify H(1,0)=f(1) and H(1,1)=g(1) but not identify another function mean H(2,0) H(2,1) etc. Can I say f homotopic to g?
X={1,2,3} T={X,{},{1},{2},{1,2}} Y={a,c} T|Q={Y,{},{a},{c}} and f,g:X---- >Y continuous and f(1)=a f(2)=c f(3)=a and g(1)=c g(2)=a g(3)=a now H:X x I---->Y I=[0,1] H(1,0)=a H(1,1)=c but I identify just H(1,0) and H(1,1) I not identify H(2,0) etc. My question can I say f homotopic to g now? @kindred cairn
H is not even a function if you don't define what values it takes. Whether H is a homotopy depends on how you define it
Mean H a homotopy on here and f homotopic to g
.
@white oxide I saw question on METU mathematics Olympiads before 2 day
By Yıldıray Ozan
Right, finite sets are an extremely contrived setting for homotopies though. Like usually you want a locally path connected hausdorff to do anything
Yes
<@&268886789983436800> can yall do something about this
what
literally spamming this chat with the same example over and over
is this just like, the first time theyve actually gotten a response
weird that it's a different account
lemme check on the other one
They are slightly different questions on closer inspection but like
it has been 12 times, over 2 months, from 3 different accounts
#point-set-topology message here is one where they've gotten a response
#point-set-topology message here is another
The same set and topology everytime?
Definitely weird but like
the list is really long
I will find more
if they've never gotten a satisfactory answer....
T={X,{}, ...}. Interlinked.
And each time, I or someone else has pointed out that the questions just simply doesn't make sense because things are not fully defined. There has been satisfactory answers.
thanks
In ultrametric space spheres are open.
Let S be sphere in ultrametric space such that d(a,x) = r, where a is fixed and x in S.
Now let y in S so d(a,y) = r. Let B(y,s< r) be open ball.
Let z in B(y, s) then d(y,z)< s < r.
We have, d(a,y) = r and d(y, z ) < r.
Now if d(a, z) < r it will contradict that d(a, y) is less than maximum of d(z, y) and d(a, z).
Similarly if d(a,z)> r then it contradict that d(a, z) is less than maximum of d(a, y) and d(z, y).
Hence d(a, z) = r so B(y, s) is contained in S.
Is it correct?
In discrete topology X, dense set is only X, right?
yes, because the closure of any set is itself (as every set is both open and closed)
Because all subsets are closed
yes
If X is a finite set and X is topological space then X is separable, right?
Because then I will let X which is countable dense set
Yes
And indiscrete space is also separable
If (X, T) is topological space and T is finite then any hint what can we say about separable of X ?
Think about how you did this for the indiscrete topology
If T_1 is finer than T_2 then every dense set of T_1 is dense in T_2, right?
That's right
Let U_1,..., U_n be a proper open set in Topological space.
Then pick a_i in U_i for all i, then { a_1,...., a_n } is dense in a given space.
Is it correct?
Can someone confirm: ${\mathbb{N}}$ is closed because ${\mathbb{N}}^\mathsf{c} = \mathbb{N}$ in X, and $\mathbb{N}$ is a subset of $\mathbb{N}$ hence open?
swifteeee
Yes
(can you draw this topology)?
(it's homeomorphic to some subspace of R²)
I can kinda see this as N with a "point at infinity", {N}
whatever that means
I have no idea arki
It's actually {0} ∪ {1/n : n ∈ Z+}
what's the topology
Subspace of R
n → 1/(n+1)
ω → 0
1 \in X is open in X. The homeomorphism maps it to 1/2. This set is open because we can find an epsilon ball that contains only 1/2 under the subspace top.
Case 2: complements of finite sets
does {1, 2, 3, {N}} count as a finite set in X?
i guess so?
You can compare the basis for X and the basis for {0} ∪ {1/n : n ∈ Z+} inherited from R
If you've learnt about bases
I know that a basis is a set of open sets s.t. their unions generate all open sets
nothing beyond that
I know that a basis for R are all the e-balls, for example
That gives a basis for any subspace of R as well
oh. then clearly {0} is closed because every epsilon ball intersects some 1/n
no e will guarantee that {0} is interior to {0}
And what are the open sets containing 0
Yes
Okay, thank you
applying the homeomorphism, the open sets containing 0 are {0, infinitely many 1/n}
Cofinitely many 1/n
But can you show that from being a subspace of R (this is an analysis question)
cofinitely?
All but finitely many
ah right
well, each {1/n} not in our set is open, so take finite union and then take a complement
wait
Consider the finite 1/n not in our set. finite subsets of R are closed, so each {1/n} is closed, and so is the finite union of {1/n} not in our set. Then we take complements
actually
I don't think we're guaranteed that open/closed sets map onto the topology of R from the subspace topology
Oh 'cofinitely' is nice terminology to use! Thanks!
[0,3) is open under the subspace topology on [0,\inf), but is neither open nor closed uner the usual topology on R
The definition of the subspace topology S ⊂ R is that if U ⊂ R is open then U∩S ⊂ S is open
oh I forgot about that characterisation
Or you can think of S as a metric space
right, then [0,3) = (-1,3) \cap [0, \infty) for example
Yup
It may be hard at first but as you progress you may learn more clues that let you see this is obviously {0} ∪ {1/n : n ∈ ω}
This topology is also known as the one-point compactification of N, since you add one point at infinity and it becomes compact
As well as (the order topology of) the ordinal ω+1 = ω ∪ {ω}, since it expresses the fact that {n : n} converges to ω
it is also called a (countable) Fort space
Is it worth 'properly' learning set theory for topology?
Hm probably not necessary
not real set theory anyway
But the long line may appear as a common counterexample
Which involves the first uncountable ordinal
I think bredon has an appendix I'll take a look at
https://en.wikipedia.org/wiki/Furstenberg's_proof_of_the_infinitude_of_primes
this was pretty fun to read actually
In mathematics, particularly in number theory, Hillel Furstenberg's proof of the infinitude of primes is a topological proof that the integers contain infinitely many prime numbers. When examined closely, the proof is less a statement about topology than a statement about certain properties of arithmetic sequences. Unlike Euclid's classical pr...
barely has anything to do with topology though lol
well actually, the real point-set topology is half set theory. but what other mathematicians regard as topololgy does not use set theory beyond transfinite induction at most
I thought the topology proof of the infinitude of primes was this oh so super complicated thing but it was actually pretty darn simple
and like Stone-Cech compactification
A while ago, I wrote about the importance of open sets in topology and how the properties of a topological space $X$ are highly dependent on these special sets. In that post, we discovered that the real line $\mathbb{R}$ can either be compact or non-compact, depending on which topological glasses we choose to view $\mathbb{R}$ with. Today, I’d l...
You can also look at it
The appendix in bredon takes 3 pages to prove existence of ordinals and has no exercises 
sounds about right
Is bredon specifying a basis or a subbasis here? Previously, he has only used "generated" when talking about subbases
from what I understand this is what would happen if you took an infinite amount of circles and then glued together all the (0,0) points together right?
actually wait....
I should review the definition first for this topology
it might be a bit different from that
subspace topology....
so it is just an infinite amount of circles glued together at one point
A subbasis
thanks
actually wait
Such that any open set containing the origin contains cofinitely many circles
ω+1 is a subspace of this 
It is indeed the subspace topology w.r.t. R²
why cofinitely?
Sorry, one more thing. When we take finite intersections of the subbasis, does that incude taking the intersection of an element with itself?
Yes, as well as the entire space
We take the intersections of finite subcollections of the subbasis
Including the collection with only one subbasis element

(and the empty subcollection has intersection the entire space)
yep
An epsilon ball at the origin contains all circles smaller than radius ε/2
It's different from "gluing infinitely many circles at a point", which wouldn't be a subspace of R²
1 is a finite number, that is true
Indeed, {{q ∈ Q : q < 1}, {q ∈ Q : q ≥ 1}} has two elements
They defined A to be semi open if there exists open set U such that U contained in A and A contained in Closure of A.
I want an example such that a closed set is not necessarily semi open.
I assume you mean closure of U here?
a point is not semi-open, anything nowhere dense is not semi-open
if a closed set is semi-open it is regular closed
so any closed set that is not regular closed is what you want
Yes
the cantor set is closed but contains no open intervals so cannot be semi-open
points sets in discrete spaces are semi-open since they are open


I don't get this point. The Cantor set in itself is semiopen.
Singletons in R are the most obvious counterexample
if you mean the point where all the circles intersect that would contain parts of all the circles....
Yea
And any neighbourhood of it has to fully contain cofinitely many of the circles
Since the neighborhood basis is given by epsilon balls
As opposed to the wedge sum of countably infinitely many circles, which has finer topology than Hawaiian earring
I don't get it, if you have an open ball around the intersection point, isn't every circle's points eventually gonna get close enough to be in whatever neighborhood/ open set you define around it?
sus.....
Why this be sus?
he said it was finer...
but here it says it is homeomorphic
What you showed is very much not a wedge of circles.
That's not compact, so can't be the compactification of anything.
The wedge of circles and the topologist earing (or Hawaiian earring) are somewhat similar, in that both involve circles meeting at a point.
But the difference is that for the topologist earing the circles accumulate towards the intersection point, making the whole thing compact.
now that I think about it
oh
so that's what he meant by a cofinite amount of circles
🤦♂️
I misunderstood
You can embed the wedge of circles in R^2 as
Union_n {(x, y) | (x-n)^2 + y^2 = n^2}
Notice here the circles get bigger and bigger, so don't accumulate
hmm interesting
In R^n with the euclidean topology, does every proper nonempty subset have a nonempty boundary set
because R^n is connected and doesnt have clopen sets
So its true right
yeah, empty boundary is the same thing as being clopen
I tried proving this and did the following instead of deriving a contradiction with respect to the connectedness of $R^n$. I think it's right but I'm not fully sure. Suppose there's some proper non-empty clopen set $S\subset\R^n$. We know closed implies $\partial S\subseteq S$, and the boundary is nonempty since $S$ is nonempty. Choose $x\in\partial S$, then $x\in S$ and by openness, there exists some $\varepsilon>0$ such that $B\varepsilon(x)\subseteq S$, but by being a boundary point, $B\varepsilon(x)\cap S^C\neq\varnothing$. This implies there exists $x \in S$ and $S^C$, a contradiction
Sara
and having non-trivial clopen subsets is the same thing as being disconnected
Oh ok, nvm my proof is circular ig
This works right? Suppose there's a proper-nonempty clopen set $S\subset \R^n$. Then $S^C$ is also clopen. $\R\subset S\cup S^C$, $S\cap\R^n\neq\varnothing$, $S^C\cap\R^n\neq\varnothing$, and $\R^n\cap S\cap S^C=\varnothing$, but this contradicts $\R^n$ being connected (since it's convex)
Sara
i mean im not sure whats your definition of connectedness is lol
to me connected just means "has no clopen sets"
sure, your proof works then
is there anyone to explain tychonoff's theorem in simple terms?
which proof do you have in mind? there are several quite different ones
ıdk ı read on book but i couldnt understand even a word
the easiest one would be better
do you have a screenshot of the proof?
which part is giving you pause?
proof of theorem 2.5?
i mean you need to ask questions
i cant divine the nature of the thing you dont understand by myself lol
oh true wait
there was a text in wiki about product topology but there is nothing in here @tender halo
why do we need coordinate projections in here?
so the idea of the proof is as follows: we are given a centered family of closed subsets, and we win if we find an element that lies inside the intersection of all sets of the family
that is what being compact is
we take a maximal centered family and project it onto each axis and take an element in the intersection which we know is there because each axis is compact
that element is the coordinate of x along i'th axis
now we have x and we prove that it lies inside the centered family we were given in the beginning
I know how to do this tediously with each metric. Is there some more clever way to prove this without having to do each metric separately?
(Context: Trying to prove that closed balls are path connected. I could do other paths if that's deemed easier)
But I was interested in knowing this way if possible
triangle inequality
That's my first guess, but my brain just isn't folding correctly. I keep thinking "triangle inequality, ok, but with which points?" Is your guess triangle inequality? Or do you already know for sure?
If you're certain that that's the approach, then I'll think it over more
If A is a subset of a topological space X and A' denote the set of all limit points of A, can i conclude that clousure of A equals A' instead of A union A'? I think A=A union A'
okay actually i just spotted a issue
i dont think all metrics will even work
its counter intuitive but its true
I've heard some people define a limit point as not being in the original set. So you may want to review what your definition of limit point is
Oh you might be right. I hear 4-spheres get weird
James Banach
then the balls wont be convex in general
if it was a metric induced from a norm
then indeed all balls would be convex
due to the convexity of the metric itself
or more simply homogenuity of the norm
otherwise its not a given
I was just asking about $d_1$, $d_2$, and $d_{\infty}$. I should be good there, yeah?
SWR
indeed certain sophisticated metric spaces have no convex open sets at all
yeah
But yeah, I wasn't even thinking of convex. I guess that's what I'm ultimately trying to prove huh
True. So "lol the ball is convex" would be pointless to say
What does it mean to talk aboouot convex opens in a general metric space
Does "convex" have a meaning in general metric spaces?
Aha
Ah, jinxed.
I thought convex required some notion of straight line
as long as you have a vector space you can speak about \$tA={tx: x\in A}$ and $A+B={x+y: x\in A, y\in B}$, and so a set C is convex when $$tC+(1-t)C\subset C, 0\leq t\leq 1$$
James Banach
I see.
but in general metric spaces ofcourse that wont make sense, just in topological vector spaces
Some searching found me a concept of https://en.wikipedia.org/wiki/Convex_metric_space>.
And as far as I can see, R with the metric d(x,y) = arctan(|x-y|) has no nonempty open sets that are "convex spaces" with the induced metric according to that definition ...
Sure vector space always makes sense
That's when you know it's a great definition
What about all of R?
Even all of R.
hi math ppl, general question about topology here. i'm a rising senior physics major with a math minor (did all my calcs, ode, + linear algebra), and i'm really interested in topology. only thing is, i'm unable to fit in my uni's topology course + the real analysis pre-req. do y'all have any resources to help me out with learning a bit of topology? anything would be appreciated 
General reading is always a good resource
Online free courses if you want a syllabus
This is a very introductory book, but a good start to know the basics
https://www.amazon.com/Introduction-Metric-Topological-Spaces-Mathematics/dp/019956308X
One of the ways in which topology has influenced other branches of mathematics in the past few decades is by putting the study of continuity and convergence into a general setting. This new edition of Wilson Sutherland's classic text introduces metric and topological spaces by describing some of ...
Why are you looking to use topology for?
Hi, I'm going through prop 2.4 in Bredon, and I'm stuck on the (<=) part. I get what the author is saying, but I can't seem to figure out the map itself. How does one decode this diagram to find the map?
Here h_p is the change of basis homomorphism
Hm, nvm, I think I understand. If I'm not mistaken, this is simply a slightly handwavy application of the gluing lemma on a polygonization of the unit square? So to write out the function explicitly, one would have to define it on 6 different not-too-pretty polygons...
Hey I've come across a question which seems really obvious but can't prove it
Am I suppose to ask help here or in another channel?
ok i get it now lol, help channel
but it's a good topology one
This one seems really intuitive, but I cannot prove it.
Let A in R^n be an open set, with n >= 2. Given a in R^n - A, the set A U {a} is open if, and only if, a is an isolated point in the boundary of A. Equivalently: there exists a ball B = B(a,r) such B-{a} is contained in A.
What is meant by a is an isolated point in the boundary of A?
i think a fundamental example is a punctured disk; you can use this to guide your intuition @proven condor
if A U {a} is open, there is some ball B_r(a) contained in A U {a}. since a is not in A, B_r(a) - {a} is contained in A. since A is open, (try to finish this direction) ||this punctured disk doesn’t intersect the boundary of A, so a is an isolated point of the boundary of A||
the converse is a bit tricky
Means a is not a limit point of A?
no, it is still a limit point because the boundary of a set is contained in the set of limits points of that same set, but it means that there is some open nbhd U around a such that U intersect the boundary of A is equal to {a}, or equivalently, U - {a} intersected with the boundary of A is empty
Oh boundary of A, sorry I am not familiar with this terminology
What is meant by boundary of A, closure of A ?
closure of A minus interior of A
Oh got it
a prototypical example is that the boundary of the closed unit disk is the circle
Tao use this terminology
the set of all points in the plane with norm <= 1 is the closed unit disk.
the set of all points in the plane with norm < 1 is the open unit disk
the set of all points in the plane with norm = 1 is the unit circle
Thank you
So closure of closed unit disk is closed unit disk, right? One reason is because it is closed so its closure is the same as it is
Got it
The set of all points in the plane with norm = a called sphere, right?
usually it is called a circle in R^2, a sphere in R^3, and a hypersphere in higher dimensions, but in general, the sphere in R^{n+1} is called an n-sphere, e.g., the circle is a 1-sphere, the usual sphere in R^3 is a 2-sphere, etc.
Got it, thank you ❤️
name of book?
Topology and Geometry by Glen E. Bredon
I was familiar with that book, I have it in physical, heh, too bad I can't even get to the heels of that book.
I have that book in pdf, if you need it write me to private I will send it to you.
Hi guys have you ever heard of the concept of ε-red?
do you mean an epsilon net?
ye
For the proof of (1), the point with not containing any points is that $\emptyset$ is open vacuously?
I.e. you can say $\forall x\in\emptyset, \exists r>0\ s.t.\ B_r(x)\subseteq \emptyset$ because $x\in\emptyset$ is never satisfied
Douglas
Yep, every element of the empty set has a neighborhood that's entirely contained in the empty set.
And since I will never pass by an opportunity to repost this:
That is a worthy repost
The only continuous mapping from R to Q is constant mapping.
Because R is connected and Q is totally disconnected, right?
And Q is totally disconnected because let A be its subspace which has more than one element then let a and b in A and s irrational number such that a < r < b.
Now we have (-∞, r) intersection Q intersection S which is proper open and also closed set, right ?
Yep, and you don't even need to invoke the total disconnectedness of Q, just disconnectedness on its own is sufficient for the conclusion.
Sorry, I don't understand what you mean?
I mean "The only continuous mapping from R to Q is the constant mapping, because R is connected and Q is disconnected" is also a correct argument. Never mind, I'm wrong, you do need the total disconnectedness
Two metrics $d_1, d_2$ are equivalent iff every $B^1 _r$ (i.e. every open ball wrt to $d_1$) contains some $B^2 _s$, and every $B^2 _s$ contains some $B^1 _t$.
Is there a name for this?
Douglas
You just used it, equivalence.
I guess it means the corresponding metric spaces are homeomorphic
No I mean like the theorem
Like "equivalence-containment theorem" or smth
Cos the definition we've been taught is that convergence under d_1 implies convergence under d_2 and vice versa
And it is not immediately obvious that this is the same as the containment thing
So I don't really think of containment as a definition even though I suppose you might argue it is
For any x and any r > 0, there are some s1, s2 > 0 such that B2(x, s2) ⊂ B1(x, r) and B1(x, s1) ⊂ B2(x, r)?
What happens if you allow "and some y s.t. B1(y, s1) ⊂ B2(x, r)"
Oh it fails
yes, I'm suppressing some of the notation for ease. The balls are centred on the same arbitrary point.
I don't think it's groundbreaking/influential enough to merit a standardized name.
It's just a criterion for equivalence of metrics
Because inded your definition involving convergence is equivalent (hah) to the one involving balls
And the fact that both definitions are equivalent is indeed a theorem, but I don't think it's a named theorem.
To add to the above, try to memorize that anything of the form:
$\forall x \in \emptyset : P$
Is always true, since it being false would begin with "there exist an x in the empty set ...". The important bit is really just the quantifier used
Kerr
do you know of any good ones? also thanks for the book rec!
i'm looking to use topology for my future work in astrophysics/cosmology! i am also minoring in astronomy, and plan to pursue a phd in astrophysics, hopefully focusing on cosmological research. in particular, i find cosmic topology fascinating, as there is a surprising amount going on there, with different cosmic topologies potentially having different effects on the nature of universe. it's super cool, but also something i don't exactly understand very well when i try to read papers on it yk 💀
that would be fire
I assume it's valid to say $$d(x,y)=\left| \frac{1}{x}-\frac{1}{y} \right| = \frac{|x-y|}{|xy|}$$ and therefore $$d(x_n, x)=\frac{|x_n-x|}{|x_n x|}$$ which tends to zero if and only if $d_2(x_n, x)$ tends to zero?
Douglas
assuming you prove the if and only if part, then yes
Well isn't that trivial? Because $d_2(x_n, x)=|x_n-x|$?
Douglas
depends what level of real analysis were treating as trivial, some would say yes, some would say no
Uh... what are the (potential) non-trivialities?
no, I just mean can you actually prove it if needed?
Well yes... if a=0 then a/b=0, and if a/b=0 then a=0
(I'm assuming b≠0)
We're just taking a=|x_n -x| and b=|x_n x|
Those equals shouldn't really be equals should they when talking about sequences
Yeah I think I kinda get your point, but it should be straightforward to do rigorously with some epsilon delta stuff
the limit of a_n/b_n being zero doesn't immediately imply that the limit of a_n is zero
I mean, it does in this particular case
but it's not a general fact
Well yes, you could have b_n -> infininty and a_n=const
But yeah
In this particular case it is immediate due to the constraints of the problem
Question from a friend not on Discord, would like suggestions, hints, or references: https://math.stackexchange.com/questions/4928933/open-neighborhood-of-a-geometric-knot-in-an-orientable-3-dimensional-manifold
now I'd really like to see a rigorous argument
I think this may sound like a weird question, but if there are two topologies, one with uncoutable basis, and one with countable basis, then can we say the topology with uncountable basis is strictly finer than the one with countable basis?
For this, each topology belongs to different topological spaces
for example, w1 has uncountable basis while R has countable basis
Usually you can only compare two topologies on the same set 
then I think if there is a homeomorphism between w1 and f(w1), then f(w1) also has uncountable basis? (not sure if this is true)
I see, I just give context first
so I wanna solve a question like, is there an imbedding from w1 to R?
I know it is impossible
but idk how to go about proving or arguing it
here w1 is omega-one (first uncountable ordinal)
You could apply first-countability of R
also you can have an uncountable basis for the Euclidean topology on R
yeah true as well as countable basis
do you have any idea for this
my knowledge is limited, and I might wanna see the approach where we use continuity mostly
You can't compare fineness of topologies if they aren't on the same space.
and on R you could have the Euclidean topology with a countable basis, and also the Euclidean topology with an uncountable basis
Neither of which is stricly finer than the other, because they are the same topology
that makes sense
also some general question, it is not necessarily true that if f: X -> Y is continuous, then for some basic element C in Y, f^-1(C) is also a basis element in X?
and how about it if f is a homeomorphism
my understanding is that for each topology, I think there is a basis generating it, is this wrong?
The basis is not unique though
hmm I see
so are you saying we are not thinking about the corresponding basis between two spaces?
let me rephrase your question so it makes sense - if we have two topologies T1 and T2 on X with weight of T1 smaller than weight of T2, is it true that T2 is finer than T1
the answer is obviously no
take two topologies on X with different weights and no isolated points (say, Sorgenfrey line and R) and adjoin an isolated point to one of them
it doesnt change the weight, but obviously the topology with the isolated point has to be the finer one (if one of them is in fact finer)
||note that im doing a sleight of hand here in that we in fact have two different sets now, so you will have to fix a bijection bewtween X and X + 1 and take the induced topology on X||
If someone needs help and can be helped why not do it, you have to be an eogist not to do it, I think that here in this group there are only egoists, and I would start with you.
thanks for the fresh copypasta material ig
I've gotten nothing but wonderful help in here. Where are you getting this perception?
Instead of reasoning using an arbitrary point $x\in\interior A$, can you do as follows?
By definition, $\interior A=\bigcup_{x\in A} B_r(x)$. Any union of open balls forms an open set (axiomatically true given open balls are open and metric spaces are topological spaces), so $\bigcup_{x\in A} B_r(x) \subseteq \bigcup_{U\subseteq A} U$. Conversely, $\bigcup_{U\subseteq A} U$ must be open because the union of open sets is open. Any open set can be written as a union of open balls, so $\bigcup_{U\subseteq A} U \subseteq \bigcup_{x\in A} B_r(x)$. As each is a subset of the other, they are in fact equal.
Douglas
I have no idea where to ask this but is there a difference between “canonical” and “natural” isomorphisms/identifications or are they used interchangeably
I can’t seem to find a good answer
Or rather an agreed upon answer
seems right to me
supremely epic
Both words are used with slight variation, somewhat informally.
But 'natural' also has a technical meaning (in category theory) which tries to capture the informal meaning somewhat.
Ah ok
It sounds like you were expecting bases for topological spaces to be a bit like bases for vector spaces. For vector spaces, if we have two spaces V and W each with a basis, and a bijective correspondence between those bases, then the spaces are "essentially the same space".
This is not the case for topological spaces and bases for topologies. A basis for a topology is a lot "sketchier" than a basis for a vector space -- one topological space can have bases of different sizes. It's almost always the case that a basis for a topology can be replaced by a strict subset, which is still a basis for the same topology.
And even though all open sets must be unions of basis elements, there are usually many different collections of basis element that union up to a given open set.
I am just confused about why we need to emphasize finitely many, isn't it possible that there is an infinite sequence xn?
The point is that for at most finitely n you can say that the x_n's are in V
Whether or not there are infinitely many x_n's or not is irrelevant
There are inifnitely many n's though
But only for finitely many of those can you say that x_n is in V
So it's impossible for the limit of the x_n's to be y
is that not just how convergence is defined
What is an easy example of a 1-site whose category of infinity-sheaves fails Whitehead's principle (which I think is the same thing as failing to be hypercomplete?)?
@dim perch I need you
Anyway I was told such a thing exists
so far be it from me to have convenient examples of pathological toposes
Is failing WP considered pathological?
The HoTT book talks about this possibility positively, iirc
but I know that HTT counterexample 6.5.4.6 is a non-hypercomplete sheaf topos on a really explicit topological space
uh
perhaps I'm just a Whitehead's Theorem Enjoyer
I assume "whitehead's principle" means that infinitely connected morphisms are equivalences/the topos-theoretic homotopy groups detect equivalences
it's at least much harder to do homotopy theory without this
based mid-pdf link
more people need to know that this is possible
Huh I think someone told me Deligne's theorem did work for infinity-toposes
oh I should have literally read the paragraph above the one I was looking at
Wait so does Lurie not use the term 'hypercomplete'?
Also you're probably not the right person to ask, but do you know an example where the internal logic of the infinity-topos is classical?
This is supposed to be possible too
lurie does in fact use the term 'hypercomplete;' Shv(X)^ is referred to as the hyprcompletion of Shv(X) for instance
Ah
tbh I don't know about the internal logic in an ∞-topos
Wait so the hypercompletion isn't always hypercomplete?
but my understanding is that every n-topos is uniquely an n-category which is an ∞-topos
so
perhaps Set
no but I'm wanting an example that looks like a model of HoTT
so you know all the ∞-shit and stuff
The hypercompletion is a localization from toposes to hypercomplete toposes; the argument above is that Shv(X) is not fixed by this localization, so it must not have been hypercomplete in the first place
i.e. Shv(X)^ is hypercomplete, and Shv(X) ~= Shv(X)^ iff Shv(X) is hypercomplete
ahh
ah
okay so a Boolean one would I think be one where it's sheaves over a Stonean space (i.e., extremally disconnected profinite space)
ok fine, but I don't really know what it means to be classical in this sense... I'd guess that if spaces aren't classical enough, then it'd be hard to give examples which are not truncated in some sense
I don't know if there is an example of that form
No so Spaces™️ satisfies LEM
pretty sure
since a singleton is extremally disconnected
uhh
wait
it is classical?
I'm confused by your question
but that might be my fault
Also, for the record, the last sentence of this picture is just fucking bullshit
We're literally talking about a non-hypercomplete ∞-topos built out of sets right now
I'm kind of confused as to what the goal of our conversation is
sorry
I was attempting to anwer the question of whether there's an example where the internal logic is classical
I appreciate the help