#point-set-topology
1 messages · Page 140 of 1
it doesnt have to be minimum, and 'a' instead of 'the'
Why isn't the minimum?
Is not like the minimal set from which every other is created?
the point is that the same topology can have multiple bases, and it very well may be the case that one is smaller than the other
for example the typical choice for the base of the topology on R^n is just all balls B(x, r) where x is in R^n and r > 0
but you can also choose x in Q^n and only choose r to be a positive rational and this base still generates the usual topology on R^n, even though it is countable and therefore much smaller
I see
just like the bases in vectorial spaces
okey
apart from that, is my understanding correct?
i would advise against thinking about it in analogy to vector space bases
the prototypical example for a “good” neighborhood base for a point x in a metric space would be all the balls B(x,1/n)
the point is that they tend to be more tractable to work with than considering every neighborhood
and you can relate it back to all the neighborhoods since you know how the basis elements sit inside them
i think one useful way to think about the commonality between bases is that they are generating sets
a basis for a vector space generates the space by taking all possible linear combinations of vectors in the basis
a base for a topological space generates the space by taking all possible unions of sets in the basis
one difference between the two is that a vector space basis also needs to be "minimal", in that removing any vector from the set should result in failing to generate the vector space. we don't really have this requirement in topology
in general it's useful to reduce larger systems to generating sets, as long as you can prove that properties of the generating set also apply to the larger system
Thanks for the answer 🙂
i agree with the advice that others have given previously, that you shouldn't try to relate bases in topology and bases in linear algebra for the most part.
however, there is some sense in which they are the same. this may be a bit complicated and is not explicitly used very much, but it expresses the relationship.
fix a topological space X. a basis for a top space X is a collection of subsets which cover X and are such that for any two basis elements B1 and B2, and any x in the intersection of B1 and B2, there is a B3 in the collection such that x is in B3 and B3 is a subset of B1 and B2.
there is a (posetal) category Basis(X) of collections satisfying the two properties above.
similarly, there is a (posetal) category Topologies(X).
there is a free functor Basis(X) -> Topologies(X) and a forgetful functor Topologies(X) -> Basis(X) which forms a free-forgetful adjunction.
a basis for some topology on X freely generates that topology, just like a basis for a vector space freely generates that vector space.
this is set theory, not topology, but i am struggling with problem 45. in the solution they claim that |Zg(αᵢ, n)| ≤ n, but all i see is that |Zg(αᵢ₊₁, g(αᵢ, αᵢ₊₁))| ≤ f(αᵢ, αᵢ₊₁) ≤ n. and we can have |Zg(αᵢ₊₁, g(αᵢ, αᵢ₊₁))| < |Zg(aᵢ₊₁, n)| right?
(i think i see how to fix the proof — if the sequence f(αᵢ, αᵢ₊₁) is bounded, find the maximum value n that occurs infinitely many times in the sequence g(αᵢ, αᵢ₊₁). then work on some final segment where g(αᵢ, αᵢ₊₁) ≤ n. then find some k such that g(αₖ, αₖ₊₁) = n and large enough that |Zg(αₖ, g(αₖ, αₖ₊₁))| = |Zg(αₖ, n)| > n. this will be the contradiction.)
how do I show that a space X is Hausdroff if and only if {(x,x): x \in X} is a closed set in X×X?
by definition more or less
write down the definition of what it means for the complement of the diagonal to be open
if x is not equal to y, then (x,y) is in the complement of the diagonal
Hi!, I'm back to ask if my understanding is correct.
In this case I need to check if my understanding of adherent point is correct:
For me, a adherent point is a point which is arbitrarily close to a subset A of X, in which the intersection between A and the neighborhood of X is not the empty set
Am I right?
your intuition sounds like it’s on the right track but your explanation is wrong. a point x in X is an adherent point of A if every open neighborhood of x meets A.
so from the point of view of the topology on X, or when viewed under the lens of the open subsets of X, the point x adheres to A, or appears to be glued/stuck to A.
according to this intuition of topology an adherent point of a set A would a point such that you cant distinguish it from A.
PKThoron
That's a stronger statement then adherent
That means x is in the boundary of A
Or intuitionwise, x is indistinguishable from A and x is indistinguishable from complement of A.
then $x \in \bar{A}$?
PKThoron
I see
thanks
Im back xd
Im still facing difficulties understanding the concept of adherent
Even when trying to draw it in R^2
So, I have a point x in X, and is an adherent point of A if every open neighborhood of x meets A, but this means, the nerighborhood is arbitrary, so it can be as big as X, or as small as x, so, if a subset A exists then everypoint of X is an adherent point of A?
I know this is not true
but it's where my reasoning leads me to
well no
for example x = 2 is not an adherent point of A = (0,1) as a subset of R
as the neighborhood (1.5, 2.5) does not intersect A
There's a difference between "every neighborhood meets A" and "some arbitrary neighborhood meets A"
Can I have a hint for why Q is not locally compact? Let's take the point 0 as an example; if Q was locally compact, there would be a compact subspace C of Q with 0 \in C. Now C can be covered by a finite union of open sets of Q, thus C is finite. I'm having trouble progressing further from this though
why is C finite exactly?
Oh yeah that's wrong
heres an example that gives you an idea of what the problem is
say you have a sequence of rational numbers converging to sqrt(2)
so 1, 1.4, 1.41, 1.414, ...
you can show this set is not compact by choosing open intervals centered at each of those points which are sufficiently small so as to all be disjoint
any open set in Q which contains 0 would have to contain a sequence like that, converging to some irrational number
Hi. Can anyone give me a hint as to how to do part (c)?
The definition of an equivalent metric that I am introduced to is given in the second image.
I am not particularly sure how to set up my proof... How would I show that ball with a metric defined by $d_{(p)}$ is contained in another ball?
Average Math Student
what do you have right now?
Well, so far, if I keep $x = (x_1, x_2)$ and $r$ fixed, then I have that $B_1$ is the set of $y = (y_1, y_2)$ such that:
[ d_{1}^{p}\left(x_{1},y_{1}\right)+d_{2}^{p}\left(x_{2},y_{2}\right)\le r^{p} ]
And similarly for $B_2$, we want to show that there exists a $\rho$ such that:
[ d_{1}^{q}\left(x_{1},y_{1}\right)+d_{2}^{q}\left(x_{2},y_{2}\right)\le\rho^{q} ] Is contained in $B_1$.
Aside from that though, I don't know what I should be doing after this.
Average Math Student
you know, you have control over p and q as well
what does the question mean by uniformly equivalent
you can WLOG set p=1
that all the metrics are equivalent regardless of the choice of p?
it is then sufficient to show that q is always equivalent to p=1
Oh uniformly equivalent, I missed that part. Yeah it should be that the $\rho$ is independent of $x$ used.
Average Math Student
ok fair enough, makes sense
Ah okay yea that makes sense... If every q is equivalent to 1 then it is just equivalent to each other. Okay, let me work with that. Thank you!
(uniformly) equivalent
Hi, I have a question regarding solving the exercises of topology, so, I understand the theory but I'm not able to do any exercise of my book. I'm starting out so common exercises are : Verify that this is topological space, test that two bases generate the same topological space
But I'm not able to do them even though i know the theory, any advice?
Why aren’t you able to do them?
Where do you get stuck?
Im not able to even start the problem xD
I mean, I know what to do, but I don't know how to express it formally
Look at the definitions and any relevant theorems
for example, testing that something is a topological space, it has to pass the 3 axioms, and well, the triviality axiom is easy, but to test for the union and intersection axioms is pretty hard for me
What are you struggling with with checking them?
I don't know how to prove it
take an arbitrary collection of open sets in your space and see if their union also falls under the definition of open in your space
Which book are you following?
do it for metric spaces
its my uni book
its custom made
It comes from this books
Is my reasoning right?
sorry if something in english is wrong, I had to translate it from my language
"arbitrary intersection" is not the correct axiom
you're supposed to verify closure under finite intersections
"arbitrario" is still arbitrary
oh yeah
u are right
Is this also right?
Im sorry but my book doesn't have a solutionary😅
more or less
you technically didnt list every possible finite intersection but i dont recommend
I have a silly question about CW complexes.
I'm trying to show that a map from a CW complex into any topological space is continuous iff its restriction to every skeleton is continuous.
Restrictions of continuous maps are continuous, so suppose I have a map $f \colon X \rightarrow Y$ where X is a CW complex and Y is a top space. If V is a closed subset of Y, I need to show $f^{-1}(V)$ is closed.
By the weak topology, it suffices to show that $f^{-1}(V) \cap \bar{e}^q_i$ is closed for an arbitrary cell $e^q_i$.
I can take a q-skeleton $X^q$ containing $e^q_i$, so by assumption $(f|_{X_q})^{-1}(V) = f^{-1}(V) \cap X^n$ is closed. But I'm not sure how I can use this to argue about how its intersection with each cell in the skeleton is closed?
Eternal Way
A cell is a subspace of the skeleton
Does that necessarily imply the intersection with each cell in the skeleton is also closed?
I mean, by definition of subspace topology, the closed sets are exactly what you get by intersecting with closed sets
Ah right, the weak topology definition wants the intersection with each cell to be closed in that cell
This wasn't clear with the way my book worded the statement of the weak topology
But wait, how come I can't apply this reasoning directly to X^q as a subspace of X to conclude f^-1(V) is closed in X?
I think you can, or how are you defining the topology on X?
the weak topology right? A set F of X is closed iff for any cell e^q_i, the intersection F \cap \bar{e}^q_i is closed (this is what's in my book at least)
So then f^-1(V) closed means the intersection with each cell is closed.
Since X^q also has the weak topology the intersection with X^q is also closed
Do the subspace topology and weak topology on X^q coincide out of curiosity?
Yes
Ah very nice
But I suppose the spirit of the problem is to use the weak topology
roblox is banned in my country what am i missing with the point set topology rp
Is there a simple example where the cartesian product of two CW complexes does not satisfy the weak topology axiom?
Iirc counterexamples to this need to be pretty big
Like continuum-many n-cells sharing an edge
there's a weak topology on CW??
don't they know we already use weak topologies in other contexts???
I thought countably infinite cells in both factors already gives you an issue?
Nevermind I remembered the classical example wrong
Whose "they" here? Are you saying it's bad that the weak topology appears more than once in math?
I am going to start studying topology from Bourbaki 
Im curious if there is any like, useful point set theoretic topology studies
There's a few areas that spring to mind
Continuum theory
Wild topology
Cech cohomology I think is of a point theoretic flavor
Curious if anyone has more input
yes 🥸
how so?
i haven't really studied it but i think it's more used for 'badly behaved spaces' (ie stuff that require you to do point set shenanigans), like I've seen it used for stuff like the sierpinski carpet in wild topology
At the very least it isn't as 'combinatorial' as simplical compexes or CW Complexes
huh i see
yeah i dont know much about this either, my impression is that for poorly behaved spaces people usually work with sheaf cohomology
Any hints for the given problem?
What's the problem here?
I tried to find the sets A and B that satisfy the given condition, but I couldn’t.
I would try to find open dense disjoint sets
or maybe not disjoint that's impossible
but if you can find sets with A, B dense in R then the first one is B, second is A, fourth is R
It is not possible
Ah I guess the intersection of open dense sets is dense so you wouldn't be able to distinguish 3 and 4
I'd probably start just playing with unions of intervals then
basically if you can find sets where any two are distinct
You can combine them by shifting them suitable far from each other and taking unions
I tried using the union of intervals, but it didn’t help
It’s possible to find an example where the difference between closure(A \cap B) and closure(A) \cap closure(B) is just a single point
And you can do it with a couple of intervals
no, i don't think so.
|| if cl(A \cap B) U {x} = cl(A) \cap cl(B) for some x not in cl(A \cap B) then {x} is open in cl(A) \cap cl(B), and so is an isolated point of cl(A) \cap cl(B). ||
|| for an isolated point to be in the closure of a set, it must be in the set itself (since it can't be a limit point) so x must be in A and B, which is a contradiction. ||
Take (-1,0) and (0,1)
Then the closure of A cap B is empty so the closure is empty
While the intersection of their closures is {0}
ah, let me see where i am going wrong
Yeah uh, cl(A) \cap cl(B) does not appear to be the closure of a set in my example
cl(A) \cap cl(B) is closed, so it is equal to it's own closure
what example?
Just because x is an isolated point in the intersection doesn't mean it's an isolated point in each set on it's own
Check your DM
Why tf dm them lol
thanks for pointing that out
I am not willing to post the example while Noether is still working on the problem
you can spoiler it
what about if you demand that the intersection is non-empty
Check the same DM as before…?
i don't quite understand the double brackets
if they even mean anything
are you drawing the intersection?
okay, i think i understand now, lemme look
Here is the example for reference
you can still take something like A = (-3,-2) U (-1,0) and B = (-3,-2) U (0,1)
Then cl(A) cap cl(B) = [-3,-2] U {0} while cl(A cap B) = [-3,-2]
these four aren't distinct tho?
oh wait
I see what you did
okay this is a clever solution
It first came to me to ||have open sets that partitioned the line, so that the closure of the intersection would be empty but the intersection of the closures would be the shared boundary||
Then to get four distinct intersections I bodged the situation by ||introducing a small overlap||
At some point in the past I worked out an example that solves Kuratowski’s closure-complement problem — given a subset A of a topological space X, show that there are at most 14 sets obtained by taking repeated closures and complements of A, and show that this bound is optimal (it’s in Munkres somewhere)
So if you want a tougher problem along the same theme as the previous, there’s one to try
this feels like more of an algebra problem
also, this problem never really appealed to me; i have never seen it used other than as an exercise
i guess this?
That exercise is from Bourbaki
Let X be a topological space. Consider the collection of all sets that are complements of closures of subsets of X, where the closure is taken with respect to the given topology on X. Is this collection the same as the given topology on X?
what do you think so far?
I think this is true
yea, it is.
What do we know about all closures?
is my clue
I guess, I don't know how much more of a clue you can give though without giving the answer entirely
its like two lines, assuming I'm not being dumb
maybe add "in relation to open sets"
True, that adds some direction once they recall the important property of the closure. Thanks, always open to how I can offer more constructive clues
I am considering the collection of all closures of subsets of $X$, and I am trying to show that it forms a topology by closed sets. I have already proved that it is closed under finite unions. Now I am trying to show that it is closed under arbitrary intersections. For that, it suffices to prove that
[
\overline{A \cap B} \subset \overline{A} \cap \overline{B}.
]
Emmy Noether
there is a more straightforward way to go about this
Okay, what is the way to do that?
This is a different question; I have already proved the previous one.
Sorry, I don’t see how this helps me
a set is called closed if it is the complement of an open set
Yes
if we take a finite collection C1, ..., Cn of closed sets any collection C_i of closed sets
expand out \bigcup_{i = 1}^n C_i \bigcap_i C_i
if each C_i = X - U_i for some open set U_i
But no topology is given
|| can't you just argue that all closed sets equal their closures, and all closures are closed sets, so the set of closures of subsets of X is just the set of closed sets in X, meaning the set of complements is the set of open sets in X ||
@tall crown then how are you considering all closures of subsets of X?
yeah different question but that is the way for the first one i think yes
Here, I made a mistake: this is not a closure. It is just a function that maps a set $M$ to $\overline{M}$ with some property
Emmy Noether
okay, so problem 9
Yes
what is B(X)?
this inclusion follows from the fact that the intersection of two closed sets is closed right?
and obviously AnB is contained in \overline AnB
I am reading Bourbaki for the first time, and the notations are confusing. As far as I understand, $B(X)$ is supposed to denote all neighborhoods of $X$, but that does not make sense if a topology is not given. What if we treat it simply as the power set of $X$?
Emmy Noether
It is indeed meant to be the power set; whether this is a mistake, or bourbaki has some (unexplained) reason to use this notation here anyway I cannot say
Hi! I'm a bit stuck on this question (again), so I would like a few more hints. \
I'm doing Q3c. I know that for some arbitrary $p$, I have $d_{(p)} \le d_{(1)}$, which means that for every ball defined under $d_{(1)}$, there will exist a ball defined under $d_{(p)}$ contained in the previous ball. \
I'm not sure how to prove the other way, that is that for every ball defined under $d_{(p)}$, there will exist some ball defined under $d_{(1)}$ contained in this ball.
Average Math Student
for uniform equivalence id recommend comparing the p-metric to the max metric (i.e. just the max of both metrics), then compare the max matrix to the 1-metric.
and if you combine those you should get the constants you need
thats likely easiest. alternatively you can show directly that d_1 <= C_p d_p for a suitable constant C_p > 0 depending on p
in particular you can take C_p = 2^{1-1/p}
would this be the topology generated by the preimage of every basis element under f_\alpha for every X_\alpha?
you can just take it to be the preimage of all open sets i think because every open set is a union of basis elements by definition
but yeah thats correct
this construction is strongly related to weak topologies btw
its not given that X_alpha has a topology generated by a basis
i mean if you have any topology its trivially generated by a basis no
just take the basis to be all open sets or something
its useless but technically its not wrong
okay thanks, I'll do the construction with all open sets
Hi! Wdym by max metric? I mean, you only mentioned the p-metric here... did you mean using the max metric on the p-metric and the 1-metric?
Hi! How'd you derive this C_p? Could you give me a hint?
I mean max(d_1,d_2)
you could go directly but at least to me this is a bit more straight forward
ill admit i nuked the bound by invoking jensens inequality to get that oddly specific constant
Ohh okay
the max metric imo is more natural to use, but if you really want that exact bound you may be able to derive it through some sort of derivative argument
I'll have a play around with that then, thx 👍
I see
I was thinking that too but the expression is a little bit dodgy. Maybe I will attempt that as a last resort.
fait enough, play around and see what you get
(big hint): try to show that all norms are equivalent on R^2 first
Thank you
This is basically a question about $p$ norms on $\mathbb{R}^2$. You can explicitly find the optimal constants $c, C$ such that $|x|_p \leq C|x|_q$ and $|x|_q \leq C|x|_p$ for all $x \in \mathbb{R}^2$.
L
Can somebody please explain how the fact that for all $\epsilon > 0$, the set $[-\epsilon, \epsilon] \cap \mathbb{Q}$ is non-compact implies that $\mathbb{Q}$ is not locally compact?
okeyokay
Never mind, I didn't read the definition of local compactness close enough
there are a few of them. which one are you using?
If $\mathbb{Q}$ is locally compact, and if $x$ is rational, then there exists a compact neighborhood of $x$, i.e. a compact set $K$ and a positive real number $\epsilon$ such that $[-\epsilon+x,,x+\epsilon] \subset K$. This means that $[-\epsilon,,\epsilon]$ is compact, for it is a translation of a closed subset in a compact set.
Then you have a contradiction
La Chouette Aveugle
better like that
I've by the way seen somewhere that $\mathbb{Q}$ is the only countable metric space which is 0-dimensional and nowhere locally compact (up to homeomorphism)
La Chouette Aveugle
Q is also the unique countable metric space without isolated points
ah yes that's it
this has surprising consequences, such that $\mathbb{Q}^n$ is homeomorphic to $\mathbb{Q}$, or that $\mathbb{Q} \cap [0,,1]$ is also homeomorphic to $\mathbb{Q}$
La Chouette Aveugle
to disprove the statement you have to prove that a specific point doesn’t have a compact neighborhood
Am i missing anything for this solution?
I don’t understand what it means to show that a set is inductive. In the previous exercise, it says that in a Kolmogorov space, if it has no isolated points, then every non-empty set is infinite.
b part
how would I show that $(x_1-\epsilon , x_1+\epsilon)\times\dots(x_n-\epsilon,x_n+\epsilon)\times\dots$ is not the same as the epsilon ball $B{_\bar\rho} (x,\epsilon)$ in the uniform topology where $\bar\rho$ is the uniform metric (in $R^\omega)$
Green
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the point with y_n = x_n + epsilon(1-1/n) is in the product but not the ball
|y_n - x_n| = epsilon(1-1/n) of which the sup is epsilon
Hi, so, I'm starting to study topology, and I find it a bit of a mathematical nonsense, I mean, why is it important to define a topology?, why it is important to define a topological space? I do understand the theory behind this concepts, but I don't understand why they are important
one nice motivation is that a topology is exactly what remains invariant when you consider homeomorphisms between metric spaces
there are lots of equivalent metrics you can put on the same space, e.g. think about product spaces
but so long as they're equivalent, you get the same topology
so even if you only care about metric spaces, it's helpful to think in topological language
(indeed most of the topological spaces you'll meet in an introductory course are metrizable, but you consider them as topological spaces)
I see, thank you
historically point set topology developed out of trying to generalize a lot of concepts from real analysis
stuff like extreme value theorem, intermediate value theorem, continuity etc
the big question at the time was how to do it in a way that is useful and applies to most branches of math, even in spaces that lack the nice structure of R^n
there is a nice paper in historia mathematica which tells the story of how the historical things were formalized over time
i think in topology especially it is important to not forget the origins of the subject
because it feels very unmotivated until you see how useful it is
i wonder how differently topology would be viewed if we stuck with defining a topology via its closure operator
What happens in the history of math is that something that originally had a rougher but more clearly motivated definition becomes boiled down more and more because that is the more efficient and general way to work. Topological spaces are one such example. I don't think you should be expected to have an actual concrete intuition to such a broad definition, this is just the happen stance of history that this is the 'right' approach.
I'll say that broadly speaking no one really 'cares' if something is alone a topological space, but more what other properties you can add to it. So don't force yourself to 'care' about the most general notion of a topological space and taking the examples of like a set of 3 elements and making one non hausdorff and no no one cares about that. One cares about whether one is first countable, connected, compact, hausdorff, properties that better let us use it.
Topological spaces are very loosely a way of describing the structure of 'regions' of a space. Regions is a very broad concept (what counts as a region)? I think in a sense it is clear that a point in R^2 is too 'specific'. The use of a region is they give an easier defined structure to speak about points in relation to other points. Think about how in epsilon-delta the question of convergence is answered by points lying in epsilon and delta balls: no other information is needed . The choice of a topological space is the choice of 'regions' you want to be able to use to describe an area in your space. With this epsilon delta framework generalized (now using the alloted regions as the information about where a limit lies), this lets you create new notions of convergence and continuity.
Of course, the topological space notion is so broad that basically anything could be one and the set of regions could either be the entire power set or solely the set itself (and empty set). So its less like a topological space alone 'tells' you a lot.
You get more information from other properties
lol I was trying to come up with examples of non-metrizable topological spaces for smtg recently and was struggling so much
like the examples I had were all too complicated for the specific context
Urysohn metrization (and Nagata-Smirnov metrization) are good conditions to say that basically nice enough topological spaces are metric spaces
huh I've never heard of this. That's messed up
luckily metrics are convenient only in areas of math I don't care about 💀
So are topological spaces
LMAO
For instance:
Let us say I have a topological space that lets me separate two points with two non intersecting regions. I have now in a sense given my space more structure, I've let 'smaller' regions enter the picture so as to be able to separate any two points. This is the Hausdorff property.
Let us say I want a way to say for me to say whether a point x is 'closer' to y or z. One idea for a structure is effectively you have regions that 'increase' and 'decrease' in size. Say a countable many of them U_n in a descending order: U_1 ⊂ ... ⊂ U_n ⊂ U_n+1 ⊂... each containing x and in a manner the intersection of all the open sets if x. If I say have y in U_n but y not in U_n+1 but z is in U_n+1, then in a sense I'd want to say x is closer to y than to z. This definition alone has some issues (do open sets containing x need to have an intersection equal to x, also a countable amount?). If you noticed, this type of reasoning is similar to metric space convergence using ball B(x,1/n), and to do this would require the first countable property and hausdorff property.
The point I want to make is that point-set topology is about studying what properties we should put on these regions and what they entail, and the definition of a topological space is just the bare minimum requirement for that.
i think a relatively simple toy example is the space of binary sequences with the box topology
nagata smirnov is like the theorem for metrization iirc but the hypotheses for urysohn's theorem are easier to understand
Indiscrete topology on two points lol
yeah i guess that works too
well I also wanted useful examples 💀
does the cofree topology even do anything
One question that may come up is if we care about loosely associated this notion of regions, why do we treat in say the euclidean topology only the 'open sets'. Why not just take the closed sets or something? You can but you get all subsets of R^2.
I'm still trying to find a good way to explain this very vague intuition but one way of thinking of why there is arbitrary unions in topological spaces and not arbitrary intersections is that we expect to have arbitrarily small regions, so an intersection of these just gives a single point: not useful. Another way of thinking about it is that an open set is like an inequality: it is an easy to verify piece of information. If x is in the open set (-2,2), I can verify it by simply taking a decimal expansion. If I see the first digit if 2 or -2 I already know it is not in that . If it is 1,0, or -1 I immediately know it is in that open set. I can't do the same with closed sets: if x is in [-2,2], if I see 2.000000000 it might still not be in there or not depending on the next digit. So effectively, to consider elements of closed sets, I need 'exact', effectively infinite information. So it defeats the whole point of using regions to 'simplify' the amount of information I need. Another point: if I say know the distance from x to a point y has d(x,y)<r_1, r_2, ..., r_n, then I can form r=min(r_1,...,r_n) and conclude d(x,y)<r. I can quite easily conclude x is in this region. This idea doesn't work in infinite case: I can know d(x,y)<1+1/n for each n but I can't know d(x,y)<1.
I think on some level this is actually the fundamental reason why topological spaces are used and this connection with this kind of computable kind of intuitionistic logic, but I can't put my finger on how this exactly works. But this is my rough explanation of why we use finite intersection.
this answer here explains a bit about this POV
https://math.stackexchange.com/a/3854718/400654
And in the context of 'torus = coffee cup topology', the reason this idea of region is important is it allows us to effectively talk about the global overall structure of these regions, their connectivity on a fundamental level. Such connection properties don't change if I simply take a torus of playdoh and stretch it. A metric space would effectively be including extra unnecessary information of this connectivity structure, so if we want to study just these 'global structure properties', topological spaces are the right setting.
ngl i think graph theory is very good for getting this intuition: what matters there is the connectivity between the vertices, not the actual distance or how they are arranged, and hence why graph theory is in a sense the first form of topology.
Also it's worth noting there are other definitions of topological spaces, like this one which to me seems to much more immediately generalized metric space theory
One way I explain myself the open sets is the following one : we want to answer the question "what does it mean to be in the neighborhood of a point x ?". But we realise that there is no answer for that, at least no absolute answer. So we definie the neighborhood basis, such that one system describes a way for points to be close to each other, and another describes another way for points to be close to each other, such that two different system can bear different informations.
For me, the real deal in a topology, is the neighborhood basis. The open sets are just "super-neighborhoods" because they are exactly the subsets of the space which are the neighborhood of any point they have. Thoses specials neighborhood, in that case, allow us to describe all of the others neighborhoods, so that's why they're interesting
Then the closed sets : nothing's more important than their border. Indeed a closed set is just it's interior + it's border, and the border is contained inside of it (that's another définition of closed subsets). For me the only important thing to understand closed subsets is to understand their border.
And for the axioms, to take an arbitrary union mean that we can add anything, the loss of precision is unlimited. On the other hand, to do an intersection is to look for more precision, and we can reach points where by taking again and again, we're not look at something that describes us a neighborhood, because it is now too small.
For more formal reasons, topologies would be way more easy to understand without the finite intersection axioms, so it would'nt be interesting
how would I show sums, products, and (well defined) quotients of convergent sequences converge to the sum, product and quotients of their limits (respectively) using the open set definition for convergence in R?
i could show equivalence with epsilon-N but idk if that's how my textbook wants be to do that
that is kinda the point
balls in R form a neighborhood basis for your point
so this is still topology
conceptually i think of this in terms of proving that sum, product and quotient are continuous operations
would using the sequential definition of continuity on those operators along with the fact that the sequence (x_n, y_n) converges to the limit of each component work?
yep!
i like this because i feel like it separates out the distinct parts of solving your original problem
one part is showing that (x_n, y_n) converges to the limit
and the other part is showing that the 2-argument function you're considering is continuous
and these are kind of independent of each other, right?
If you want to prove those facts with sets only, then you'll have to use the definition of the open sets of R, which uses epsilons and inequalities. So in the end, it always comes to the same, even with the epsilon-N stuff. As it has been said, when you use the epsilon-N, you implicitly proove that the sum or the product from RxR to R are continuous
it's because the epsilon-N proves the sequential criterion in a way, right?
thanks for the responses
we use the epsilon-N to verify the sequential criterion, yes, and in general the original definition of continuity implies the sequential criterion, but the fact that the sequential criterion implies the original defintion of continuity is only true in metric spaces, and is a consequence of the axiom of dependant choice
does the dotted arrow in general denote anything different from the other arrows
you use it when you want to say that the given maps p, q together induce a (unique) map f making the diagram commute (i.e., f o p agrees with g)
Usually having the solid arrows causes you to get a dotted arrow
Cat eaters like those arrows
I was talking about category theorists, not about kittens 🫣
category theory mentioned
how would I do part b? i thought of trying something with the quotient map but i couldn't figure anything out
G here is a topological group
A hint could be that multiplication by g is a homeomorphisms, hence takes closed sets to closed sets
sorry could you elaborate
Okay, first, what are the closed sets in G/H (like what's the definition)?
if p is the quotient map, then those sets whose preimage under p is closed
And what is the primage of a one point set?
for {xH} x and all points y such that xy^-1 is in H
Right
This is actually just $xH$ I believe
Pseudo (Cat theory #1 Fan)
oh right
nope
.
oh the mapping q:H-->gH?
No
what then? 🥲
q(a)=ax for any a in H and some a in G?
left-multiplication by x
#1433590201741082624 message need help with 5b: show that product topology and a certain metric topology coincide
Question2: Let $(X,T_x)$ and $(Y,T_y)$ be topological spaces. Let ${C_\alpha}{\alpha \in A}$ be a collection of closed subsets of X such that their union is equal to $X$. Let $f: X \rightarrow Y$ be a function. Assume that $f|{C_\alpha}$is continous for every $\alpha \in A$
you_are_me
I dont get what that last sentence means like what is the notation f|_Calpha a
is it like $f: C_\alpha \rightarrow Y$ is continous? is that what they mean?
you_are_me
C_alpha equiped with the subset topology ofc
What have you tried?
(This is a common question and I think it's probs best not to spoil it lol)
nono i dont have a question regarding how to solve it i just have a question regarding the notation
Oh sorry I didn't read properly aha
i havent tried anything yet because im not sure what the notation in the last sentence means
Restriction
So yes what you said – compose with the inclusion
yes
And give it the subspace topology etc
you sometimes see a symbol that looks like an L for restriction too
oki thank you then i can solve it i believe
I didnt know obama studied math
hes very talented
Barack Obama gets asked a computer science question by Google CEO Eric Schmidt.
Full interview: http://www.youtube.com/watch?v=m4yVlPqeZwo&t=23m
The topology itself is always a basis. Are there any common subbases that contain the topology its generating?
i don't quite know what you mean by subbases containing the topology, its the other way around (every subbasis element is itself open)
i'm confused - the topology geneerated by a subbasis always contained the subbasis (by definition of "generates")
Yeah, its a weird question, since I don't think it should occur in most reasonable situations. I'm wondering if there is a common subbase S for a topology T, where S = T.
Obviously any topology can be a subbase of its own topology, but the question is a well-known or common subbase S, such that the topology generated T = S.
it would definitionally need need to be a topology already if S = T
so you'd just be choosing any topology S
using it as subbases to generate a topology T which is just S
Right, I feel like if a subbase was like that, it would've been mentioned.
i mean not always
most the times subbases are just implied to be smaller in order to generate a topology T
though there are some special cases in which the topology itself is so small that you cant really pick a small generating set (well u could its just trivial to do so) , so in this case you could imply the subbase is equal to the topology
i would read into indiscrete topologies if you want to see these cases but this could be applied to any coarse topology, like i said earlier it just becomes trivial to do so :/
I guess an example that comes to mind is that the Zariski topology on SpecR is usually described by the basis of distinguished opens D(f), but if R is a PID, then these are actually all the opens.
Any ideas on proving pth connected space is connected using contradiction?
suppose for contradiction that the space is not connected, join a path between two points in your separation and use connectedness of the unit interval to get a contradiction
what is pth connected space?
i think it's path connected space (but typo)
How
ill start the proof
suppose $X$ is path connected but not connected, so $X = A \cup B$ for disjoint non-empty open sets $A, B$. choose $a \in A$, $b \in B$ and join them by some path $\gamma: [0,1] \to X$ with $\gamma(0) = a$ and $\gamma(1) = b$. since $[0, 1]$ is connected, $\gamma([0,1])$ must also be connected.
Yea i figured all that
KraySovetov
KraySovetov
Im guessing i need to use continuity here
you already used continuity
that was the statement that [0, 1] connected implies the image of gamma is connected
Sure
how can you make a separation of the image of gamma using A and B
if you can do this you get the contradiction
because we already know it has to be connected by continuity
I split the functiom into the points that are in A, and the ones that map to B
KraySovetov
why is this a contradiction
Ohhh wait
No
I was going to say union of connected is connected
But doesnt make sense
yeah thats clearly false
any two singleton sets
you only know the union of connected spaces is connected if their intersection is non-empty
anyway once you have that and note \gamma([0, 1]) is connected youre basically done
I dont get it
Idk
ok
you are aware that if f is continuous and E is connected, then f(E) is connected yes
if $A, B$ are open in $X$ then $\gamma([0,1]) \cap A$ and $\gamma([0,1]) \cap B$ are open subsets in the subspace topology of $\gamma([0,1])$
KraySovetov
this is by definition
so $\gamma([0, 1])$ is being written as a union of disjoint open subsets in its topology
KraySovetov
which means its not connected
np
I think no, but I can't think one would construct an open cover of an infinite dimensional space in general? What even are the open sets in C0? Apologies if they are silly questions, this is the first question I have come across in my class that talks about spaces of functions rather than finite dimensional ones.
I wonder if there is a result that reduces this to something easier than constructing an open cover
i think sequential compactness would be the right way to go
Alright, thank you. I'll have a think
||if you know that in an infinite dimensional space compact sets have empty interior its also a little trivial||
My knowledge of function spaces in general is just really poor, I'm too used to working with just Rn where things are 'easy to visualise'. How do you intuitively consider the interior of an infinite dimensional space?
I genuinely don't think there is a nice way to visualise C[0,1]. I mean, we can only really visualise R^n for n ≤ 3 anyway
so when you step up from 3 basis vectors to, well, uncountably many, I don't think there's much to be done except to kind of pretend it looks like R^2 lol
Yeah that's true I guess. Would you be able to help me understand why the interior of a compact set in a function space is empty? As per your spoiler. As I say we never really explicitly discussed such spaces in class, at least from what I remember.
I haven't taken anything on functional analysis yet if that is relevant
at least the proof I know uses a lemma from functional analysis known as Riesz's Lemma
Okay no worries then haha
In mathematics, Riesz's lemma (after Frigyes Riesz) is a lemma in functional analysis. It specifies (often easy to check) conditions that guarantee that a subspace in a normed vector space is dense. The lemma may also be called the Riesz lemma or Riesz inequality. It can be seen as a substitute for orthogonality when the normed space is not an i...
tl;Dr if you take an open ball you can find countably many disjoint open balls inside it
so the open cover by the set of countably many open balls has no finite subcover
Ah right, that makes sense.
Going back to the sequential compactness argument, I'm not really sure how to construct a sequence in B with no convergent subsequence.
you want some sort of sequence that never really settles down in one spot
there are probably a number of choices
or one that oscillates faster and faster
my advice would be to try and construct a sequence that converges pointwise to zero
but each has norm 1
then there can't be a convergent subsequence
max(0, 1-xn)?
Why do we require uniform convergence for sequential compactness over pointwise convergence? Is it just a definition?
pointwise convergence is bad at preserving properties that you like to have in functions, such as continuity
i wouldnt say pointwise convergence is bad, but in your case youre looking at continuous functions
if you only insist on pointwise convergence then the space wouldnt even be closed, because there are sequences of functions that converge pointwise to a discontinuous function
Right yeah that makes sense
It becomes better in measure theory right?
i mean pointwise convergence still has undesirable properties but the theorems you get in measure theory allow you to tame those kinds of functions yes
stuff like dominated/monotone convergence theorems and egorov
although this isn't pointwise convergent to exactly zero, it is sufficient right because the pointwise limit is unique and f_n(x) is continuous?
yeah and the pointwise limit is discontinuous
Yeah exactly.
I made such a hash of this question lol, I feel like I need to go do 20 questions on pointwise and uniform convergence.
pretty easy example is f_n = x^n. any limit f of a subsequence still needs f(1) = 1 and f(x) = 0 for x<1, which isn't cts
@storm wadi
Ah right yeah, of course
i am confusing myself to hell an dback trying to use the universal property of the subspace topology to show that if X is a top. space, Y is a subspace of X, and A is a subset of Y, that the subspace top. on A from X is the same as the subspace top. on A from Y..
or would it perhaps be better to show this just using the topologies themselves?
This example is simple enough that you can just use the topologies themselves
It would more just be practice working with universal properties if you wanted to do it the other way
I mean once you’re comfortable enough with universal properties the proof with them becomes just as fast
yeah, i (think) i did it correctly with just the topologies themself
but i would like to understand how to utilise the universal properties in a way that i'm not completely lost when i see them
Ok so what is the universal property of the subspace topology, to your understanding?
to my understanding, the universal property of the subspace topology is that for a topological space X, and its subspace A, if you have another topologicla space Y and a map f from Y to A, that for f to be continuous, the composition of the inclusion map from A to X, and the map f, has to be continuous
Yes, there are alternative ways to state it
Here’s my preferred version
Continuous maps $Z \to A$ naturally correspond to continuous maps $Z \to X$ whose image is contained in $A$
Pseudo (Cat theory #1 Fan)
In that you can interconvert between these
So given $f : Z \to A$ continuous, you can compose with the inclusion map to obtain $\iota \circ f : Z \to X$, which is continuous and has its image contained in $A$
Pseudo (Cat theory #1 Fan)
The universal property allows you to go in reverse
If you have a continuous map $g : Z \to X$ whose image is contained in $A$, then you obtain a continuous map $g^T : Z \to A$, shrinking the codomain
Pseudo (Cat theory #1 Fan)
This satisfies $\iota \circ g^T = g$ so that the processes are inverses of each other
Pseudo (Cat theory #1 Fan)
Does that make sense?
mm somewhat
What parts feel unclear?
well, i can state how i understand what you just said, and you can correct me if you see anything i missinterpreted
So, what i take from this is that you have these three topological spaces with maps going between them.
So if you have a continuous map f from Z to A, and given the inclusion map that from the (alternate) definition of the subspace topology, is continuous, you can get a continuous map from Z to X by composing the two. Though, here, why is it important that the image is contained in A? or is that just the result of the definition of the inclusion map?
And from the other part where you have a continuous map g from Z to X, the transpose(?) of g where you end up with g^T being a sort of restriction on g?
For the latter it’s called a “corestriction”
Since you’re shrinking the codomain, not the domain
that does make sense yeah
Also, it’s important that the image is contained in A because this doesn’t apply to arbitrary maps
If you have an arbitrary continuous map Z -> X, there’s not an obvious way to produce a continuous map Z -> A
Only when the image of your map is already contained in A does it make sense to shrink the size of the codomain
Yeah that does make sense
In general you can shrink the codomain to the image of your map using the subspace topology
But yeah the condition is imposed to ensure there’s a two-way equivalence
Indeed this is what the subspace topology “does”
You have a collection of continuous maps into X satisfying some condition
In this case, their set-theoretic image being contained in A
And what you do is represent such maps by continuous maps into A satisfying no extra conditions
The original conditions you were imposing just get baked into the definition of the topology on A
Do you see what I mean?
and the original conditions being the continuity and image containment? or am i misunderstanding
Yes exactly
There’s no image containment condition for the maps Z -> A, only continuity
right.. that does make sense i suppose
Would you like to now see how to prove your original statement with universal properties?
could i tell you how i tried to solve it first?
Sure
so my argument being that we set the space Z equal to A with the subspace top. inherited from Y, and let A have the subspace top. inherited from X - we already have the inclusion map from A to X, so we want to find a map from A to itself s.t. the inclusion composed with this map is continuous.
The natural choice falls to the identity map, so we set id: (A, T_(AY)) to (A, T_(AX). We then see the composition of the inclusion with the identity to just be the inclusion from (A, T_(AY)) to (X, T) - but here i think i might not get a continuous map?
and i'm not sure how to argue that it should be one
Having a snack but will get back to this afterwards
Ok I’m back
Lemme introduce some notation to help
Let’s say $A_1$ is the set $A$ with the subspace topology from $X$
Pseudo (Cat theory #1 Fan)
And $A_2$ is the set $A$ with the subspace topology from $Y$ from $X$
Pseudo (Cat theory #1 Fan)
As you suspected, we want to show the identity map is continuous both ways
right
Let’s start with $A_1 \to A_2$
Pseudo (Cat theory #1 Fan)
The identity map here is continuous if and only if the composite map $A_1 \to Y$ is continuous, by the universal property
Pseudo (Cat theory #1 Fan)
Now we do know that the inclusion map $A_2 \to Y$ is continuous - however, as you saw, this doesn’t immediately imply $A_1 \to Y$ is continuous
Pseudo (Cat theory #1 Fan)
I think this is where you got stuck before
yeah, it is
However, we have more we can do
The composite map $A_1 \to Y$ is continuous iff the corresponding map $A_1 \to X$ is, by using the universal property for $Y$ as a subspace of $X$
Pseudo (Cat theory #1 Fan)
And this time we do know the map is continuous!
wait, so A_1 to X is the inclusion again right?
Essentially, we take the inclusion map A_1 -> X, corestrict to Y, and then further corestrict to A
Indeed
Because the composite of the inclusion A -> Y with Y -> X is just the inclusion A -> X
that sounds about right
This shows the identity map A_1 -> A_2 is continuous
Now we just need to check that for A_2 -> A_1
Using the universal property, this is iff the inclusion map $A_2 \to X$ is continuous
Pseudo (Cat theory #1 Fan)
However, we can write this map as a composite $A_2 \to Y \to X$, and those individual maps are continuous by definition of the subspace topologies
Pseudo (Cat theory #1 Fan)
Thus, being a composite of continuous maps, this map is continuous
And so we can corestrict to A to show A_2 -> A_1 is continuous
Mhm, sure
i realise this looks horrendous, but would it be smt like this?
or am i misunderstanding something
Why do you have j^-1?
I didn't see what other map i should've used instead - as both k and j are inclusions into X, i thought it would be natural to use the preimage of the inclusion back to Y, but that is maybe not always continuous?
Well the preimage isn’t even a function from X to Y right
yeah, i mixed up cuz i had in my head that j^{-1}(X) = A ∩ X which doesn't actually help
xpp
It is true that you can corestrict k to Y
Yeah, i just don't quite see what map i should use there instead
Well you use the universal property for Y as a subspace of X
.
In mathematics, a corestriction of a function is a notion analogous to the notion of a restriction of a function. The duality prefix co- here denotes that while the restriction changes the domain to a subset, the corestriction changes the codomain to a subset. However, the notions are not categorically dual.
Given any subset
...
One thing you get used to in cat theory is that there are a lot of operations you can do on functions that aren’t just composition
ah, i haven't really heard of (or used) corestrictions in my classes
but that does make sense
Corestriction is one such operation
And I think it’s conceptually helpful to use it
oh for sure
Incidentally this is where the “closure” axiom for groups comes from, if you know what that is
in this case the composition would be k \circ j^Y?
i am taking abstract algebra this semester as well yeah
I would denote it as $k |^Y$
Pseudo (Cat theory #1 Fan)
k co-restricted to Y
but the message is the same then
A good example is the group of invertible matrices
You have matrix multiplication as a map $\text{Mat}(n, K) \times \text{Mat}(n, K) \to \text{Mat}(n, K)$
Pseudo (Cat theory #1 Fan)
You then restrict this to invertible matrices, so $\text{GL}(n, K) \times \text{GL}(n, K) \to \text{Mat}(n, K)$
Pseudo (Cat theory #1 Fan)
Closure is precisely what you need to co-restrict this to a binary operation on $\text{GL}(n, K)$
Pseudo (Cat theory #1 Fan)
Namely, you check the image of this map is contained in GL(n, K)
I.e. the product of two invertible matrices is also invertible
huh, interesting
It’s the kind of operation that’s often invisible
You use it implicitly without thinking
But in more “geometric” contexts like topology, it becomes something that requires effort to prove
What’s maybe surprising is that this works even at the level of manifolds
If you have a smooth map $M \to \mathbb{R}^3$ whose image is contained in the unit sphere, you can co-restrict it to a smooth map $M \to S^2$
Pseudo (Cat theory #1 Fan)
This is not at all obvious since the way you check smoothness is genuinely different for R^3 and S^2
But nonetheless this statement is true
that is.. very interesting
One thing I like about cat theory is that it makes these implicit operations explicit
because you have to generalise it so much?
or?
like, the reason it becomes explicit i mean
In part yes
I think it’s just that in general cat theory tends to be quite explicit
For example, there’s a difference between knowing that two spaces are isomorphic, and actually having a specific isomorphism between them
Which is more to do with how they’re isomorphic
Cat theory tends to care more about the latter
huh, i always had the impression that it was the former
Interesting, that’s surprising
tbf i haven't had that much exposure to category theory
Because in my experience cat theory treats things like isomorphism as data rather than a property
Not a yes/no Q
curious - i do think i remember watching a video by gpp where he states something about the yoneda lemma
but i'm not so sure
Oh yoneda is a beautiful result
It deserves to be called the fundamental theorem of cat theory
i am planning on taking homological algebra next semester together with our rings and modules course - we unfortunately don't have many topology courses because of funding cuts
Oh cool, idk much homalg myself but I’m trying to get there
we have two additional ones i could take, alg. top. 1 and 2, that focuses on homology/cohomology and the other that focuses homotopy theory and chain complexes
if i understood the thing correctly
the problem being they go every other year now
and next year would be starting off with alg. top. 2
which is the homotopy one
I’m currently trying to learn algtop myself
Maybe the folks in #alg-top-geo-top could help you out
That's what i thought too - and considering I'll be taking homalg and rings and modules, it would be a bit rough i think
Interesting
Maybe wrong channel but I'm curious to hear about
Sure sure, this is what I like to call the categorical perspective on equality
Something something HoTT? Or no
It’s tangentially related to HoTT but more elementary than that
The example I always like to use is counting
2 + 7 is the same as 7 + 2, they both equal 9
But to a small child they’re not the same
Not cause they’re bad at counting, but because they’re genuinely different processes
For 2 + 7 you do 2, 3, 4, 5, 6, 7, 8, 9
For 7 + 2 you do 7, 8, 9
It’s the same result, but two different ways of getting to it
For example, it’s a lot easier for them to do 99 + 2 than 2 + 99
So commutativity is the property? What's the data
Oh don’t think in terms of property and data for now, that comes later
My point is that there’s a sense in which 2 + 7 is equal to 7 + 2, but there’s also a sense in which they’re different
.
Oops
Please listen to what I’m saying
And it’s the sense in which they’re different that actually gives the sense in which they’re the same meaning
It’s why saying “a + b = b + a” is something you have to prove in Peano arithmetic, and a nontrivial property of addition
Otherwise you’d just be saying something like “x=x”
Which, while true, isn’t especially helpful
The categorical perspective on equality, then, recognises that equality isn’t necessarily a yes/no Q
Instead, there often multiple senses of equality you can use - things might be equal in one sense, and distinct in another
So it’s quite helpful to specify how two things are equal, in what sense you’re considering them equal, rather than just saying they are or aren’t equal
And so equality gets upgraded to “data” rather than just a property
like two fundamental groups on the same space but at different points!
Mhm
To answer this, HoTT often considers many different “levels” of equality
And indeed the data of an equality is given by a path
This could be, for example, a specified isomorphism between $A \coprod B$ and $B \coprod A$
Pseudo (Cat theory #1 Fan)
Yeah
Yes, essentially - the data specifies how two things are equal
you can build spheres with this
As another example, it’s a generally agreed upon human right that all humans are created equal
But of course that’s not literally true, some people have different needs than others
So in one sense people are equal, and in another people are distinct, and that isn’t a contradiction
The senses just become more or less relevant in different contexts
@warped shore does that make sense?
Yeah I got the concept in concrete contexts but didn't consider it categorically
\begin{tikzcd}
\bullet \arrow[r, bend left] \arrow[r, bend right] &\bullet
\end{tikzcd}
PKThoron
fr 
Property vs data is like cobordant vs cobordism, diffeomorphic vs diffeomorphism, etc respectively
countable vs bijection to N
the second is lowk so much better because it spares you a lot of choice
This is like a piece of missing syntax in ordinary mathematics
$\exists$ by default is the property version
Pseudo (Cat theory #1 Fan)
We don’t really have a syntax for “exists with a specific witness”
In type theory you have the sigma type for this
This is part of why the “axiom of choice” is a “theorem” in type theory
It’s because by default the sigma types are “exists with a witness”, for which choice is easy to prove
On the other hand the axiom of choice refers to “exists without a specified witness”
This argument feels more pertaining to type theory than category theory, however.
I suppose if i interpret the connection well enough is that the categorical structure lets us take multiple paths to the same point (commutative diagram) and that structure of each of those independent paths can be thought of as a different choice of computation to be considered technically different, and type theory gives the higher structure to encode such a notion.
yup
wdym theorem
iirc it's still a blackbox
It’s called the type-theoretic principle of choice
Choice on what
types?
in zfc the aoc is smth like, given any family of sets, you can pick elements from each set
idk what the type-theoretic analogue is besides encoding exactly that
well we can use a second existential clause for that
∃x, ∃y, y witnesses φ(x)
i think the argument is more so a reframing of the systems in question negate the need for axiom of choice.
for instance, this is point-set relevant: locales (a lattice with the same sort of intersection and union properties as a topology except there is no underlying set), the tychnoff theorem holds as a theorem without axiom of choice. in regular point-set topology, tychnoff theorem requires axiom of choice. the 'axiom of choice' comes up when it comes to showing that every locale can be given as a topology on some set.
the 'axiom of choice' comes in when things have to be 'sets'
i.e. φ(x, y)
alternatively you can "skolemize"
for every existential formula you can replace it by a witness-providing operation
for arity 0 these are called henkin constants i think
i see
but then as soon as sets come into the picture, as in point-set topology...you need aoc?
actually yeah i think skolemization is automatic with axiom of choice but is not without it
so i think the non-type theory way to view this would be "the axiom of choice lets you skolemize your existential statements"
mathematical logic is a spiral, not a circle
ie for instance
the 'axiom of choice' in ZFC would as stated just be some syntax but you use axiom of choice on the outside to do things with that syntax
i think axiom of choice is used in the completeness theorem.
yeah it is
im probably not saying things in a good way pedagogically tbh, sorry if this is true
id roughly view it that way yeah
i will write up an explicit example of what i mean
consider the following two statements:
- ∀n, ∃f, f is a function that embeds the set {0, 1, 2, ..., n} into X
- ∃f, f is an injective function that sends any non-negative integer n to X
AoC is required to prove these are equivalent conditions on X
i think skolemization might have been a bad concept to bring up cuz i think you can still skolemize the former bullet point, you just can't do it uniformly
sorry about that
yeah they're equivalent with choice
how come, whats the justification using aoc
to construct the latter function, we need to make a series of arbitrary choices, one for each n ∈ ω = {0, 1, 2, 3, ...}
the former bullet point guarantees we won't run out of elements to choose at each "step"
an explicit example of how this can fail without choice is the "socks set", consider a countable family of indistinguishable socks. if you could embed ω into it, then you could construct a choice function on the set of pairs of socks in the image, which must be infinite
(sorry for derailing the category theory discussion btw... i didn't mean to do that, hopefully this is a fun side tangent at least)
(a weaker version, fwiw)
oh oh
My argument is going to sound more elementary but the sense in which I think categories is opposed to structures and not so concerned with the information in other ways.
On a conceptual, I feel like math structures come first, then the suitable morphisms and extra structure. Category theory wants you to 'fix' the structure and the morphisms apriori, which to me does not match some of the fluidity of certain areas of math. For instance, if you are in a nice land of Hausdorff spaces, adding just a bit of structure can completely mess up our categorical structure: product of Hausdorff spaces are Hausdorff, product of normal spaces aren't (same with subspaces).
When things are stated categorically, say colimits and limits, it is of a 'there exists this object with these morphisms and these properties' but it does not tell us either the existence of said object or what it will look like. (existence can be given by existence of (co)products and (co)equalizers) so that's neat) and the coproduct of specific categories tend to have different constructions. The coproduct of sets is a disjoint union, of abelian groups it is finite formal sums, of gropus it is the free product, of topological spaces is disjoint union, of based spaces is their wedge sum. and say you can have vector spaces, coproduct and product are the same: add normed structure, product completely goes away. all of these morphism specific properties are highly contingent on the finer s\tructure in question. (category of smooth manifolds and topological spaces in particular are badly behaved)
i think overall i like that category theory encourages being principled about what data you care about, so it can go both ways, i suppose
you can go super heavy type theory pill and record every single way in which 3 + 7 is isomorphic to 7 + 3
or you can just regard it all as the same
And in some cases the universal property you want for something doesn't even make sense (because it is 'mixing' morphisms between two different kinds of objects via a set theoretic map). For instance this universal property characterizing free groups on n generators (im sure you can rework this in the proper language but my point is not all universal properties are thought this way).
to add onto pseudo's point though, natural transformations often feel like "you need to provide an explicit witness that makes sense as part of your data" to me
yeah, i suppose it motivates the idea behind a forgetful functor, cuz it often just goes unwritten otherwise
i.e. you can't have a map from a set to a group but you can from a set to forget(a group)
on the other hand yea you're right some properties are just flat-out versal, i.e. not universal, there are many distinct witnesses, i.e. algebraic closure of fields
at which point it feels like it's not a category theory construct anymore
actually i kind of notice this with the concept of natural isomorphism that is often imagined as between classes of objects (like there is a natural isomorphism from V + W to W+V (+ is direct sum it won't copy pasta), but the natural transformation language would require you to imagine a functor from one category to another so one would take the identity category and then make this correspondence)
Though in language like say algebraic topology where one is inherently working on some form of Top and mapping into Ab through homology, it makes perfect sense to call two groups in Ab from homology naturally isomorphic in the normal natural isomorphism sense between functors (interpreting the homology on a space as a functor on that space).
idk i just feel in most contexts categories are to the aid of some mathematical structure and not the fundamental starting point
I do think though in certain areas it is quite important to find a 'good category' in which you can do things
because when your methods are benefited categorically category theory is a great aid and I think this is a huge crux of certain areas of algebraic topology (I don't know much about this area)
well this is how it started but these days there are many, many constructions that just aren't possible without categorical reasoning
I agree
eg Grothendieck topology
Though I'm sure there are more examples in algebraic topology if i knew more
true
Yes I would say this is sometimes an underrated thing and becomes particularly important when you have homotopy theoretic things or higher categories
i am confusing myself again, trying to show that a certain quotient space is equal to the digital line topology on the integers

So essentially i have $$(\mathbb{R}, \mathcal{T}_{std})$$, and then a map $$\pi : \mathbb{R} \to \mathbb{Z}$$ such that $$ \pi(x) = {x\text{ if } x \text{ is an integer, or n if } x \text{ is in } (n-1, n+1) \text{ and n is an odd integer }}$$
I've found the quotient topology, but i am very unsure of how to peocede to show they are equivalent
is it possible maybe to just show double set containment?
upe
pax_ignis
what is the digital line topology?
it's defined by the basis $$B(n) = { {n} \text{ if n is an even integer, and } {n-1, n, n+1} \text{ if n is odd } } $$
double set containment on the family of opens?
pax_ignis
and n in the integers
this feel like the convention is flipped from the quotient map you gave earlier
it might be
doesn't matter ultimately but
yeah i think a good strat would be like, to prove an open of one is an open of the other and vice versa
if that's what your saying
or er maybe show they have the same basis or something
the task specifically says to show that the quotient topology on Z induced by $\pi$ is equal to the digital line topology on Z
pax_ignis
yeah
it's definitely true as written
cuz we have the basis of both now i assume
yep, so i just need to figure out how to approach this - it would be weird not to have anything with the universal property, but i guess that comes in a later chapter
so double set containment for the basis was it?
just to say, they have introduced the universal property
it's just not used in any of the tasks yet
it's also homeomorphic to the topology that AT people on graphs, on the bi-infinite line graph
idk if that's helpful for the exercise but it's how i visualize it
yea should work
idk im spitballing
it's not as helpful when those things haven't been introduced to us yet
ah, are you aware of what im alluding to
not at all
ah alr wasn't sure based on your phrasing
yeah fair
i am just uncertain about how i could use it
i take it back
i just usually think about quotient topologies by like
the basis is given by sets whose preimage is open
i guess that is the uniprop in a sense
just more concrete
well, i guess
wait nvm
ok fixed
this is gonna sound kinda silly but i also think of it as open sets which dont change when you take their image and then preimage
like i just imagine open sets that are closed under expanding them to fill the entire fibers
idk if that's helpful but that's my excuse for why i fumbled my words a little, i conflated the perspectives a little
and the fibres would be the preimages? 
it's not a term I'm used to so..
but okai - so I'll have to do double set containment
mm
yea
it's like the fancy word
i know you could probably use the uniprop somehow, and just slapping the identity on there and show it's continuous
well fiber has a connotation of preimage of singletons
i sorta think of it as a huge partition of the entire space into these subsets
right 👀
all the glue going to waste xpp
ohhh i see what you mean
yeah could work
i eated it
I'm just uncertain how i can show the identity is continuous - because you got $\pi \circ Id$ right
pax_ignis
ultimately both proof methods will be essentially equivalent
but as of now you don't know if that is even continuous
once you get to the nitty gritty
fsir point
like to prove identity is continuous, is to do an inclusion argument on the basis
identity function on the underlying sets i assume
so i have to do the thing I'm trying to prove to show the inclusion is continuous
yea
i mean, the basis elements for each n are equal, i just need to find an argument that isn't super wishy washy to show that the identity takes each n to itself
in the different topologies
cuz essentially i can claim for both topologies that for n even, the basis elements is of the form blabla, and for n odd, blabla
right
yeah
tbh I'd draft something and then try to rewrite it to be cleaner
i mean i guess
my problem is just that atm i don't really see a way to show equivalence
is this supposed to be read \pi(x) = x if x is an integer, and \pi(x) = n if x is in (n - 1, n + 1) for an odd even integer n?
yea, the easiest, most straightforward way is to show that the two topologies agree.
using quotient maps and universal properties is detracting
for (a), i was able to show A had a single point, but idk how to show that point is the unique fixed point
A is a subset of each A_n, so f(A) is a subset of f(A_n). f(A_n) is a subset of A_n since we are taking images of smaller and smaller subsets, so f(A) is a subset of A_n, for every n. that means f(A) is a subset of the intersection of all A_n, which is just A. since A has one point and f(A) has one point, f(A) = A
i see, thank you!
actually a more clean way to write this is \
$f(A) = f(\cap_n A_n) \subseteq \cap_n f(A_n) \subseteq \cap_n A_n = A$
snowflake
if theres another fixed point q, then d(p,q) = d(f(p), f(q)) \leq a d(p,q)
conclude:
got it, thank you
i wonder how various schools' point-set "topology" courses compare: what texts are used, what topics are covered, etc.
in particular, do many students cover metric spaces as part of their topology courses? is this the first introduction to metric spaces?
at my previous school, studied metric spaces as part of "analysis" courses first and didn't say much about metrization during topology, which used Armstrong. currently, at a different school, we use Munkres and I think it's many students' first exposure to metric spaces.
my undergrad did metric spaces in analysis and a tiny bit in topology. We used munkres as well
yeah we did metric spaces in analysis, before topology.
Here, you can do both the Metric Spaces course and the Point-Set Topologyat the same time as both of their requirements is a course on Real/Multidimensional Analysis. I myself didn't do that as I thought the Topology course makes more sense after the Metric Space one but you do mention what a topology is, that metric induces a topology, and some other basic topological notions in the Metric Space course.
The book we used for Metric Spaces is from a former professor in the uni, but it's probably used sparingly. The Topology book is Munkres though.
here we had metric spaces baked into the topology course
so we started with metric spaces before moving on to the topological spaces
Yea the topology course at my uni does metric spaces first too, seems more logical that way
oh for sure
I had a separate metric spaces course followed by a topology one
Our Metric Space course is compulsory bot the Topology course is an elective.
i never had a proper point-set course, it was baked into the two analysis courses i took, and then used throughout the rest of the math curriculum. later i ended up taking differential topology, but this assumed knowledge of point-set
diff top was removed from our course plan because money issues - instead they merged lie algebra, diff top and some other course to make differential geometry
iirc
in my topology class we used munkres and covered metric spaces
This problem comes from May's algebraic topology book. I want someone to check for any oversight or see if they know a faster way to do this (though maybe spoil it since it do want to figure this out if something is wrong)
Let a space $X$ be called weakly Hausdorff if for every compact Hausdorff spaces $K$ and map $g:K \rightarrow X$, $g(K)$ is closed in $X$.
The goal is to show that $g(K)$ is Hausdorff.
Proof:
let $g(x)$ and $g(y)$ be two points in $g(K)$. Evidently $y$ is compact hausdorff so by the condition, $g(y)$ is closed in $X$. Then there exists an open set $U$ of $g(x)$ that does not contain $g(y)$. The issue is $g(y)$ may lie in the boundary of $U$.
First, let $h: K \rightarrow g(K)$ be given by $h(x)=g(x)$. First note that $h$ is an open map. To see this, let $A$ be open in $K$. Then $K-A$ is closed in $K$, hence compact Hausdorff, so $g(K-A)=g(K)-g(A)$ is closed in $g(K)$, hence $g(A)$ is open in $g(K)$.
Since $h$ is surjective and open, it is closed.
Since $K$ is regular, there exists an open set $V$ so that $x \in V$ and $\overline{V} \subset g^{-1}(U)$. Then, $h(\overline{V}) \subset U$. Since $h$ is closed, $h(\overline{V})=\overline{h(V)}$, so $\overline{h(V)} \subset U$. Note that from above, $h(V)$ is open and thus an open set separating $g(x)$ from $g(y)$
From above $g(K)-\overline{h(V)}$ is open and contains $y$ (since y is not in U), so there exists an open set $W$ in $g(K)$ so that $h(V) \cap W$ is disjoint, and $W$ contains $g(y)$.
This completes the proof.
One sec
Im typing this on phone thats a bad idea
Edited
Okay here are my hints, it can be simpler. Let me check to see if I know how to write a spoiler: ||test||
im going to be upfront and say that im feeling too tired to be fully helpful, but id like to note that you cant distribute $g$ over set differences unless you know $g$ is injective
for example, $g(x)=|x|$, $A={-1,1}$, $B={1}$. then, $g(A\setminus B)=g({-1})={1}$, but $g(A)\setminus g(B)={1}\setminus {1}=\varnothing$
Convergant
Two facts, that can be proven, but are well known can be used here to keep things cleaner. 1. ||the image of a compact space under a continuous map is compact|| and 2. || a compact subspace of a Hausdorff space is closed||. Finally ||a closed subspace of a Hausdorff space is Hausdorff||. Granted it’s been a while since I have thought about this. So someone please correct me if it’s irrelevant
we arent even given that g is cts
I assume g is cts otherwise it's obviously false
g is continuous
i see
Yeah I think that’s the main issue here, X isn’t assumed to be Hausdorff it’s weak. My mistake
Yeah that was dumb of me
Well hang on because
Gah I see the problem
I think I have a fixed but ill wait until I can write it down
Some nonsense with considering all pre-made points seems essential as I originally thought
Oh I have ab idea
Sarah!
til all functions commute with unions
You could give me 10 years of math training and im never gonna remember the rules
I do think I have a fix tho
like f(A U B) = f(A) U f(B) and f^{-1}(A U B) = f^{-1}(A) U f^{-1}(B)?
I just know f^-1 commutes with everything
yea, preimages commute with everything, the images don't generally commute with intersections
that is the only bad one
and i only remember that one
lol all the others just work as you expect
images also don't commute with set differences though this is (probably) a corollary of not commuting with intersections
yea
you can write every set difference as an intersection so yeah
A - B = A n B^c
I looked up the answer, it does use normality of K theres just one trick on top of that.
The chances of solving a problem as you fixate more and more on it diminishes woth time...
i did not know that compact Hausdroff implies normal
but points are closed if X is weakly Hausdorff
so Hausdorff follows from normality
neat
Its a good proof to try and work out
Not quite
In general two really useful facts to remember are that
Closed subsets of a compact space are compact
Compact subsets of a Hausdorff spaces are closed
One key result the is that if f:X->Y is a bijective map from a compact space X into a Hausdorff space Y, then for is in fact a homeomorphism
the proof of this fact isnt super hard but its a nice exercise in applying compactness
yes, this is a fun proof after working it out
sorry, i was getting things confused here. yes, there is one more trick that you have to employ using the facts you mentioned.
i don't know why i mentioned X...
One result I showed (that ended up not used in this part of the proof... I think) is that such a map is a quotient map onto its image.
you do have to use that points are closed in X for X weakly Hausdorff tho.
so like, if you take g(x) and g(y) in g(K), then points are closed in g(K) since g(K) is closed. now the fibers A and B of g(x) and g(y) are closed. by normality, you get disjoint opens U and V around A and B. K - U is compact Hausdorff since it is closed, and so its image is also closed in g(K), likewise for K - V. g(x) is in g(K) - g(K - U) and g(y) is in g(K) - g(K - V), and these are disjoint opens.
yea, i had proved this before you mentioned the normality hint, but i couldn't find a good spot to use it
is it better to write the separation axiom satisfied by a space as "T_n" or refer to it by the name (Kolmogoroff, Frechet, Hausdorf, etc.)
it probably depends from book to book but I think by name is preferred like normal, regular, and Hausdorff (also you will never see T_2 it will always be called Hausdorff).
ty!
Some people do call it T2, "never" is far too strong, althpugh I agree there is a very strong preference for 'Hausdorff'. Also some authors do not treat the name and Tn for n > 2 as synonyms (e.g. I learned T3 as being T2 + regular, which is not the same as just regular), and think T0 and T1 are more common than whatever the names for them are
Mathlib calls it T2Space unfortunately 🥲 but I agree that "Hausdorff space" is a lot more widely used and probably better
T1 spaces I would rather call T1 than Frechet though, because Frechet space already refers to first-countable complete Hausdorff locally convex vector spaces
why is R special topologically?? Almost every topological space (manifolds, CW complexes, Spheres, Spectra) and operation/object (Suspension, join, homotopy, all the algebraic invariants) is defined using R in some way.
but all the definitions of R i know (complete ordered field, sequences of rational numbers) dont provide intuition about why R would be so useful in topology.
it's THE continuum
i mean R with euclidean topology
as a set almost every space is a continuum ahahah
It's 1d locally compact Hausdorff and contractible.
Those are all nice topological things
But I think your question is sort of the wrong way. People started out studying R and things built from R, then defined topology
Not the other way around
can you elaborate on this?
but if you do go the other way around, you will end up with a lot of nice things being related to R
i'm asking because i don't really see a natural way to consider Q a continuum for example
wdym? for example a manifold is defined using R^n
I mean R is not a continuum in the topology sense.
The continuum is also the name of the cardinality of R, but not super relevant
yeah Q isnt a continuum.
but cardinality of things like manifolds is continuum as far as i know
what does continuum in the topology sense refer to? i learned from munkres that R is considered a "linear continuum"
R is kind of the field that all of physics happens over, at least at first glance. C becomes very relevant later too, but everything you yourself can measure? that's rational/real
I'm not sure what you're saying.
If you build things out of R then they will be related to R, sure...
Compact connected metric space.
"Linear continuum" would be the order theory thing.
I mean, you can't measure things to infinite precision so you could argue that everything you measure is rational, but the real numbers are connected, the rationals are not, and that makes them a lot more useful for e.g. modelling the kind of continuity you encounter in physics