#point-set-topology
1 messages · Page 103 of 1
psie
the RHS is just the definition of rho, the LHS is just rewriting f(s) and f(t) as what you've defined it to be
but the LHS is the metric on Y, whereas the right hand side the metric on X, or?
I'm not sure I'm right though, I might be wrong 🙂
I guess it is the metric on Y, but when we restrict to X, it becomes the metric on X
yeah
By d I mean the relevant metric
I was typing out that $d_Y$ restricted to $X$ is $d$, so we can just use the same symbol for both metrics and might as well take the easier $d$
Edward II
indeed 👍
anyway you know something about certain distances from the limits of s and t (I'm going to call them S and T from now)
because they're limits
ok, showing that f is an isometry looks like to be equivalent to the continuity of the metric, or?
yes
I don't know a lot about simple connectedness. Is it true that an open subset U of R^2 is not simply connected if and only if you can find a point a not in U and r>0 such that the punctured disk centered at a of radius r is contained in U?
No, for example consider either 1) a disjoint union of two discs - this is pedantic but simple connectedness has path connectedness as part of the definition and 2) an annulus e.g. { z : 1 < |z| < 2}
The converse is true though
Beyond that you can also think of drawing a random squiggle in R^2 (and then ensuring it is open by thickening it up); for example an open figure of 8
Right. I'm just trying to see if "simply connected" is "equivalent" to "it doesn't have holes". So I guess I can rephrase the question as: Let U subset R^2 be open and connected, is it true that U is not simply connected if and only if you can find a point a not in U such that every ray emanating from a intersects U?
This is false
The point has the property you want but the set is simply connected
In R^2 iirc a nice characterization for compact simply connected sets is the complement being connected
oh yeah, that was dumb. I'm mainly wondering about the other direction tho
Yeah
Nice
So suppose that U is simply connected, then for every point not in U there's a ray not intersecting U, you mean?
Hm
No, the other one
Which has (part of) jordan's curve theorem as corollary
Ok no not really
I thought it would imply the "interior" of a jordan curve being nonempty but the boundary of this is a counterexample
This should be "bounded open" instead of "compact"
nice
Are there fixed point theorems in S^n with points removed
It’s tough to have fixed point theorems for non compact spaces because you can push all the interesting behavior to infinity. For example, if you subtract a point from S^1, you get R, which has the translation x |-> x+1, which has no fixed points
S^n with points removed is just R^n with points removed
I am working the following problem: \
Problem: Prove that the set of isolated points of a countable complete metric space $X$ forms a dense subset of $X$. \
To solve this, I put $U_x=X\setminus {x}$ for $x$ a non-isolated point, which is open and dense in $X$. By Baire category theorem, the intersection of the $U_x$ are dense in $X$, and this intersection are the isolated points of $X$. \
My question; where in my solution did I use the fact that $X$ is countable? I don't see where.
psie
the amount of Ux's is countable
you're right 🙂 thanks!
If E is bounded and closed in R^k then E is compact, right? Because if E is bounded then we can use the general version of Bolzano Weierstrass theorem on E, so for any sequence in E there exists subsequence which is convergent, now E is closed so limit is in E.
What is the version of Bolzano Weierstrass you know of?
If sequence in A\subset R^k is bounded then there exists subsequence such that it is convergent in A\subset R^K
That's not true: let A= (0,1) and a_n = 1/n
Then a_n is bounded but no subsequence is convergent in (0,1)
I meant in Bolzano Weierstrass theorem replace R by R^k
R is R^1
Limit not necessary in A it can be in R^k
I think this works then
Erm
Okay thank
Technically that only says that E is sequentially compact
Probably because he only works with metric spaces
And it's equivalent for those
If you mean Principles of Mathematical Analysis, that is
Yes
If every infinite subset of E has a limit point in E then E is sequentially compact, right?
Because if I take any sequence in E then if the set { x_n | n in N } is finite we can make a subsequence which is convergent.
And if the set is infinite it has a limit point then we have a subsequence which convergent in E
Yes, I believe Rudin has a theorem precisely about that?
It is the theorem itself
I am trying to prove that the Cantor set is uncountable, using a) that the endpoints make up a dense subset of the Cantor set, b) that it has no isolated points and c) the following exercise: \
Exercise: Prove that the set of isolated points of a countable complete metric space $X$ forms a dense subset of $X$. \
I have solved this exercise, but I don't see the connection between proving the uncountability of the Cantor set using this exercise. Is this clear to someone?
psie
This procedure, to use the exercise, is given as a hint in my book. I thought perhaps they meant some contrapositive of the statement in the exercise, but I can not work out the logic; it seems to be saying if X is a countable complete metric space, then the set of isolated points form a dense subset of X. I am not sure what the contrapositive of this is.
Maybe one could argue by contradiction somehow; suppose the Cantor set C is countable. Since it is complete, the set of isolated points should form a dense subset of C. But C has no isolated points. So the closure of the empty set is the whole space, which is empty. A contradiction I guess?
I believe this works
Hi guys, I have recently been reading about separation axioms. I understand there are different conditions of increasing strength, leading to the T0, T1, T2, etc, classes. From what I gather, for finite set topologies, all of them will be either non-T0, T0, or T1 (the discrete topology), but basically, separation axioms dont make much sense in this context. However, the different topologies of finite set points do not all seem to be "structurally" equivalent, e.g., for N=3, one could argue that the topology {(), (0), (0,1), (0,1,2)} is more complex than the topology {(), (0), (0,1,2)} . Is there any described measurement of this different complexity of finite set topologies?
by “more complex” do you just mean “superset of”? people sometimes use the words “coarser” and “finer”
which refer to the subset partial order of topologies on a set
Hmmm, well, im not sure about that. For example, see the topology {(), (0), (0,1), (0,1,2)} . In order to create this topology, you must take 2 decisions: first which length-1 subset to included, and then which length-2 subset including the previous length-1 subset to include. A topology of same size, {(), (0), (1,2), (0,1,2)} , only requires 1 decision, since the topologies of this homeomorphism class all include 1 subset of length 1, and then the subset of length 2 that does not include it
It becomes more complex with increasing N
By that concept of complexity, also, the discrete topology would be of the same (and lowest) complexity as the indiscrete topology, as it requires 0 decisions to generate it
So that seems to be different to the partial order thing
In fact, so far the best definition I have been able to think of for the concept of complexity I have in mind is how many decisions you must take to make that topology, or equivalently, how many member topologies its homeomorphism class has
Im looking for some better definition / measurement that can be generalized to different values of N
it’s 6 am so i’m just gonna give my shot in the dark and hope it sticks, but maybe someone else has an idea, but you can take, for each T a topology on X, the size of Aut(X, T), since a member of Aut(X,T) represents a different arrangement of elements where the same topology fits, and work with that somehow.
Sorry for my ignorance, but what is Aut(X,T)
it just consists of maps f:X->X where f is a homeomorphism
So you mean, to group together the topologies by the ones that have equivalent structure but putting the different elements of the original set in different places?
Yep
if so indeed, that is the lines Im trying to go along! by doing that I could get a metric of how complex a homeomorphism class of topologies is, which is through the number of topologies that belong to it
But this is not ideal, because that metric is dependent on the value of N
E.g, for N=4, the largest classes have 24 members, but for N=3, 6, in general N!. So it is not generalizable across values of N, unlike the separation axioms
however it partially works, as it gives a value of 1 to both the discrete and indiscrete topologies
also doing that led me to getting this graph for the homeomorphism classes of topologies, for N=4:
it seems to have interesting structure, so im trying to explore it in more detail
im also surprised by the very little amount of literature (compared to other topics) that there is about finite set topology :S
What do the edges and their colours represent?
a metric of the distance between 2 homeomorphism classes of topologies
we can see multiple interesting properties but one of them is that the connection between the discrete topology (the top node) and the closest one to it, is always the longest edge in the graph, and there is no other of this length. I verified this for N=3 also
unluckily cannot verify for N=5 since generating all the topologies by brute force takes unreasonable time
also I generated that graph by taking all the minimum spanning trees from a complete graph that contained an edge between every possible pairs of homeomorphism class of topologies. so originally there was an edge between any 2 topologies. But that was not very informative. so this one shows in a way the shortest way to be able to go to all topologies
I also further pruned it to leave only the shortest paths between indiscrete and discrete topologies:
which revealed interesting properties. but i have no maths background so i struggle to read the literature some times. because of notation
If I take (0, (n-1)/n), n in N and n≥2 then set of all such interval are open covering of (0,1) but no finite subcover covers (0,1), right?
yep
Okay thank you
They take E \subset R^k, but in general is it true?
What do you mean by in general?
Either way, in a general metric space a closed bounded set is not guaranteed to be compact.
However, in a complete metric space, a closed and totally bounded set is compact.
(and the proof goes much like the Heine-Borel/Bolzano-Weierstrass ones, because in R^k boundedness and total boundedness are equivalent)
Yes
I mean if every infinite subset of E has a limit point then E is compact in Metric space X
Try proving it.
If every infinite subset of E has a limit point in E then E is sequentially compact, right?
Because if I take any sequence in E then if the set { x_n | n in N } is finite we can make a subsequence which is convergent.
And if the set is infinite it has a limit point then we have a subsequence which convergent in E
In metric spaces sequential compactness is equivalent to compactness.
And to prove last statement what if I take x_n such that d(x_n,x) < 1/n
And yes, that's the proof, the set of terms of your sequence has a limit point, and you can show that there's a subsequence converging to that limit point
Okay thank you ❤️
And let X be metric space in which every infinite subset has a limit point then X is compact because we can take E = X
Yep! a category theorist would probably call it an application of Yoneda's Lemma
So compact also implies that every infinite subset of E has limit point in E
Both are equivalent?
you can say that after every statement
I am reading about product metric spaces. There are various metrics we can put on a product, but my book singles out two defining properties a metric on a product space should enjoy. 1) That a sequence converges in the product space to a limit iff the component sequences converge to the components of the limit and 2) that each component metric on the component space is less than or equal to the metric on the product.
psie
I am basically trying to verify property 1 for the max-metric.
I think I have figured out a way to motivate this. Thanks!
I would be interested in knowing though if there is an upper bound to d(x,y) in terms of d_k for some k. It seems like the maximum of the d_k times any number greater than 1 would be an upper bound, is that right?
In normed vector space, if x_n converges to x and y_n converges to y then x_n+y_n converges to x+y.
But let there be metric space X such that addition is defined in X then is that result true ?
Addition of elements
just like
a random abelian group structure on X?
generally we define a topological group so that addition is continuous, but that is not particular to any concrete metric on the space
Not necessarily.
Example?
Look up the jungle-river metric on R^2
And try to show an example that addition isn't continuous in that metric
Hm, you can probably even do it on R with the metric d(x,y) = |x-y| + |sgn(x)-sgn(y)|
So I need to find two sequences such that x_n converges to x and y_n converges to y but x_n + y_n is not convergent to x+y
Is there someone here working on pointless topology (frames & locales)? Frames generalize topology and now there is this new thing called partial frames, where only certain subsets in the meet-semilattices are allowed to have joins. So partial frames kinda generalise frames. How can one also generalise separation axioms like Hausdorfness in this setting? Some authors have done the relatively easy to translate separation axioms from frames like regularity. Also another question would be what would be the benefit of partial frames?
I am reading a proof of the fact that a sequentially compact metric space $X$ is complete and totally bounded. I have already shown it is complete. But I am stuck at the totally bounded claim. \
Proof: We wish to cover $X$ by a finite number of open balls of radius $\epsilon$. Let $y_1\in X$ be arbitrary. If $B(y_1,\epsilon)\neq X$, let $y_2$ be a point in $X\setminus B(y_1,\epsilon)$. Having chosen $y_1,\ldots,y_n$, we let $y_{n+1}$ be any point in $X\setminus \bigcup_{j=1}^n B(y_j,\epsilon)$, provided the union does not coincide with $X$, otherwise we stop. The points $y_1,y_2,\ldots$ satisfy $d(y_k,y_j)\geq\epsilon$ for $1\leq j<k$. If the procedure of selecting the $y_j$'s does not terminate, then the sequence $(y_j)$ has no convergent subsequence. ... \
I fail to see why $(y_j)$ has no convergent subsequence. Why is this?
psie
I believe it is because of the condition on the distances making it so no subsequence can be Cauchy
hmm ok, do you know what it mean for no subsequence to be Cauchy (symbolically)?
Any subsequence of y_i is of the form y_n_i where n_i is a strictly increasing function from N to N.
I am reading a proof of the fact that if $E\subset\mathbb R^n$ is bounded, then it is totally bounded. It suffices here to prove that $T=[-b,b]^n\supset E$ is totally bounded, as any subspace of a totally bounded space is totally bounded. For this, let $\epsilon>0$. Then the balls $B(\epsilon j,\epsilon)$ cover $T$, where $j=(j_1,\ldots,j_n)$ ranges over all integral lattice points of $\mathbb R^n$ which satisfy $\epsilon |j_i|\leq 2b$, $1\leq i\leq n$. (Recall, an integral lattice point is a point whose coordinates are integers.) \
How can I verify that the balls $B(\epsilon j,\epsilon)$ cover $T$? In particular, why the condition $\epsilon |j_i|\leq 2b$, $1\leq i\leq n$?
psie
psie
Seems true
Every infinite subset of E has a countable infinite set
which has a well order isomorphic to that of the naturals
a limit point of this countable infinite set will be a limit point of the sequence defined by the ordering
that is definition of countable compactness
in metric spaces (or, in general, first-countable spaces (or, even more in general, sequential spaces)) sequential and countable compactness are the same
oh cool, I didn't realize that was another variant of compactness, although of the course it is. what's the example of a space where sequential and countable compactness aren't equivalent?
In mathematics a topological space is called countably compact if every countable open cover has a finite subcover.
never mind, looked it up
For example, the product of continuum-many closed intervals [ 0 , 1 ] with the product topology is compact and hence countably compact; but it is not sequentially compact.
So there exists a sequence in this space which has an accumulation point but no subsequence convergent to that point?
Yes that's right. The problem is that points in this space doesn't have a countable basis of neighbourhoods. So you can't do the naive thing of filtering out elements "too far" away from the acumulation point.
I'm still trying to come up with an explicit example
Not great with intuitions in nonmetrizable spaces 😦
Although, take [0,1]^[0,1], enumerate the rationals in [0,1] as (q_n) and take a_n(x) = 1 if x = q_n and 0 otherwise
And then 0 is an accumulation point of this
But there's no subsequence convergent to 0
Am I thinking right?
A typical neighborhood of 0 consists of functions that are 0 for all but finitely may arguments, right?
No, wait; "close to 0 on finitely many specified coordinates, and arbitrary otherwise"
But then every cylinder around 0 would contain all but finitely many points of my sequence, so that would mean the sequence does converge to 0
Take X = {0,1}^N and let your space be [0, 1]^X. Take fn to be the nth coordinate function.
Yeah, I see that
Take any function for which the value at c is 0 or 1 and is not one that only oucors finitely many times.
Then specifying the value at finitely many points you should always be able to find coordinate functions that give the same value
Hmmm, wait. I need to think about this a little more
I mean, I can see how this sequence has no convergent subsequence, and that the space in question is compact.
I'm just struggling with seeing the accumulation point(s).
Countable compactness?
This is lindelof but not countable compactness
Countable compactness should be open countable cover has finite subcover
lindelofness is sigma-complete filters converge
countable compactness is countable filter-bases converge
So at least it's easy to argue that any infinite set has an accumulation point.
If it didn't, then because of Hausdorffness the complement would be open, so the set would be closed hence compact. But a compact set can't have infinitely many isolated points.
But it does seem tricky to find an explicit example
not only it has that, the space in question is separable
so we have a countable dense subset with no (non-trivially) convergent subsequences
What set is that?
[0; 1]^c
oh
what dense subset
uhhh
dont think i can actually describe it easily
Well, can you argue that it exists?
not really, the only proof i know is an explicit construction
I see, so you can describe it, just not easily
its the Hewitt-Marczewski-Pondiczery theorem
actually i think you can do it pretty easily in this case
maybe
ah, no, unfortunately not
yeah you have to go through the full construction
you can also think of Stone-Cech compactification of N
the same thing is true there
Well, I'm glad it's so complicated because this means I don't need to feel bad about not coming up with an example quickly
Let $f_x : X\times Y \to X$ and $f_y : X \times Y \to Y$, and let $f : X \times Y \to X \times Y,; f(x, y) = (f_x(x, y), f_y(x, y))$. Then $f$ is continuous if and only if both $f_x$ and $f_y$ are continuous, and this follows from the universal property of the product topology, correct?
sheddow
I'm fairly confident, yes
Thanks! Follow-up question: is there a way to write $f$ in terms of $f_x$ and $f_y$ in a more point-free style? Like, does $f = f_x \times f_y$ make sense?
sheddow
what does $f_x \times f_y$ denoting here?
higher!
I'm used to that notation denoting that product map $f_x \times f_y$, which is given by $f_x \times f_y(x_1, x_2) = (f_1(x_1), f_2(x_2))$
higher!
where each f_i is a map from an X_i to a Y_i, that is
I will admit though, I'm also probably not the best person to ask for this question 
I've also seen this kind of product map denoted as $f_x \otimes f_y$
Outsider
To go with how the product sigma-algebra tends to be denoted

the measure defined mu (+) mu_2 for example
Interestingly the product measure I've usually seen denoted as $\mu_1 \times \mu_2$, with the traditional product symbol.
Outsider
So two ways to combine functions would be $\otimes : ((X \to X) \times (Y \to Y)) \to (X \times Y) \to (X \times Y)$ and $\times : ((X \times Y \to X) \times (X \times Y \to Y)) \to (X \times Y) \to (X \times Y)$
sheddow
if you think of $\times$ and $\otimes$ as higher-order functions
sheddow
This is slightly incomprehensible tbh. But for clarity it is perhaps best to just write f(x, y) = (f_x(x, y), f_y(x, y))
its called the diagonal of the two maps
that is, the combination of maps X -> Y and X -> Z into a map X -> Y x Z
one of the standard notations is big delta
i.e. an up-facing triangle
the one you dubbed with the tensor product symbol is the cartesian product of maps
usually dubbed by a cross
I see, so $f = f_x \Delta f_y$? I am familiar with the diagonal of X being the set of points (x, x) in $X^2$
sheddow
exactly
and actually the diagonal of two maps is the composition of natural inclusion of X into its diagonal and cartesian product
Oh nice universal property of the product
I’ve also seen $f = (f_x, f_y)$ for this
Pseudonium
Talking about universal properties and Pseudo shows up, like a bee to honey 
I like this notation, this might be my favourite
Hehe, well y’know I love them
What is a matrix if not a map from a coproduct to a product.
A womb
Is there infinite topological space such that there exists finite dense subset in that space
You can take the indiscrete space
But infinite topological means infinite open sets right?
Depends whether by "infinite topological" you mean "the space is infinite" or "the topology is infinite"
Every topology on an finite space will be finite, but on an infinite space you could have finite topologies
Yes
So if I have infinite topological space means the topology is infinite then is there any finite dense subset exists?
There can be
Just adjoin a single point to any topological space, and add it to every open set
Then the closure of that point is the whole space
Every non-empty
(And make that point be open)
More directly, let your space be R and let the topology consist of all sets that include 0 (and of the emptyset)
I see
You can't just add 0 to the opensets in the Euclidean topology (although you could do this is you used a point that isn't already in R)
i, complex number
But why can't I add 0?
Because in the Euclidean topology {0} is closed
But now it is a new topology
Oh wait, you meant replacing all the existing open sets with versions that also include 0
Then yes, that would probably work
And also containing {0} because we can add 0 to empty set
Thank you ❤️
Basically the key thing is that you want to have some element x that's in every nonempty open set
And then the closure of {x} is the whole space, because that's the only closed set that contains x
I see
Thank you
I have been thinking a lot about a specific problem, and this question arose and I am somewhat tired of thinking about this problem, so this question might be silly. Consider the open ball $B(0,\epsilon)$ of radius $\epsilon>b$ in $\mathbb R^n$ with the maximum metric. Does it contain the cube $T=[-b,b]^n$?
psie
Here b>0 is some real number.
It almost does but no
It is the open cube ]-b,b[^n
er
I misread sorry
It does
It is the open cube ]-epsilon, epsilon[^n
If x is in [-b,b]^n then it is of the form (x1, ..., xn) where each xi is in [-b, b]
right
And since -b > -eps and eps>b, xi is in ]-eps, eps[
ok, thank you 👍 I have to read up on why B(0,\epsilon) is an open cube ]-\epsilon,\epsilon[^n
For brevity I will show the 2 variable case
that would be great 🙂
|(x,y) - (0,0)| < eps iff max(|x|, |y|) < eps. That is equivalent to |x| < eps and |y| < eps. And this is equivalent to -eps < x < eps and -eps < y < eps, which is the same as (x,y) is in ]-eps, eps[^2
how do I prove R is not a product space of a collection of nontrivial topologies?
is it true even
I think you can show this using some reasoning about path-connectedness
Basically if R can be written as a product, then it can be written as a binary product AxB
This gives you (open) projections of R onto A and B
I think you should be able to roughly speaking show that [0,1]^2 has to embed into A x B
which is impossible
i got that far
hmmm
Hmmmm how about this
oh yeah true
You can use the path connectedness
A product of path connected spaces is path connected
And also a continuous image of a path connected space is path connected
So A and B are path connected
Then I think if A and B are nontrivial, removing a single point from A x B still leaves it path connected
But removing a single point from R doesn’t leave it path connected
Maybe that works?
This seems right but how do you actually show that this is true?
I think maybe you can use a similar argument as you’d do for R^2
I guess you literally just go around the point
But we know they’re individually path connected
I’d have to write this out though
Or perhaps maybe you’d want connectedness rather than path connectedness
changing coordinates one at a time works though
Neat
one caveat though you need to wiggle your points around a bit
which is only possible if both of your spaces are not made out of one point
Right, which I think is fine because we said they were nontrivial?
damn i need to learn topology for no particular reason i just feel like it
After all R is a product of R with the singleton, topologically
yeah
How to show sequential criteria is equivalent to continuity?
I know we can show that inverse image of closed set maps to closed set.
But I want to find U such that if x in X and then around any open ball of f(x) in Y then there exists U \subset X such that x \in U and f(U) \subset of that open ball.
X and Y are metric such that f: X->Y
We have if x_n converges to x then f(x_n) converges to f(y)
I don't want to use stronger results here
If A is compact in metric space then A × A is compact or not ?
Yes, Tychonoff's theorem says the product of an arbitrary collection of compact spaces is compact
We can use sequentially compactness, also right? But how
I am not sure
Because let (x_n, y_n) sequence in X × Y, where X and Y are compact spaces in metric space
So x_n have subsequence x_n_k converges to x in X and y_n has subsequence y_n_t converges to y in Y
Now how can I choose the subsequence of (x_n, y_n) ?
Choose a convergent subsequence xnk and then choose a subsequence of the ynk
But subscripts are different, right?
No
So when I choose (x_n_1, y_n_1) but what if y_n_1 not in y_n_t
You want both the x's and the y's to converge at the same time
Yes
So you make the x's converge
you choose subsequence of a subsequence
Yes
And then choose a subsequence of those indexes such that also the y's converge
Subsequence of a convergent sequence is convergent so with the x's you're fine
I see
So first apply to x
Get x_n_k
Then apply on y_n_k
Yes
Thank you ❤️
By the way, this argument extends to all finite products by induction, and for countable products you can diagonalize (iirc uncountable product of sequentially compact spaces is not necessarily sequentially compact so you can't go further)
If I want to show that if f: E -> E then F= { (x, f(x) | x in E }.
If E is compact and f is continuous on E then F is compact.
Because we can map g:E-> E × E then F is g(E) and also continuous so the image is compact.
Right?
Yes
g is continuous because if x_n converges to x then (x_n, f(x_n) ) converges to (x,f(x) ) because f is continuous
More generally it's true that a function into a product is continuous if and only if each component is continuous (even for general topological spaces where you can't use sequential continuity)
Mhm, that’s the universal property
Yes by using projection maps, right?
Yes
Is it good exercise if E \subset R is closed and f is continuous on E then there exists continuous g: R -> R such that g(x) = f(x) for all x in E?
Now I want to prove the converse part.
Let F be compact and E be compact then f is continuous
So let x_n converge to x
I need to show that f(x_n) converges to f(x)
Now let (x_n, f(x_n) ) in F
Since F is compact
So there exists subsequence (x_n_k, f(x_n_k) ) converges to (x,f(x)) because it converges in F and x_n converges to x so x_n_k converges to x
It shows that f(x_n_k) converges to f(x)
But how to show f(x_n) converges to f(x)
$i:(Y,\beta)\to (X,\alpha)$ is a mapping between the topological spaces and $Y\subseteq X$ and $i$ is inclusion. Now my question is if $i$ is continous then is $\alpha\subseteq\beta$? Remember we know the converse that if $Y$ is equipped with subsoace topology then i is continuous.
Vishnu das
Inclusion mapping is always continuous
But not necessarily $\alpha\subseteq\beta$
Notknow🙇
No i have not said that the topology $\beta$ is a subset of $\alpha$?
Vishnu das
What is your question?
Give me a example?
Take [0,1] to R inclusion mapping
Topology?
What is alpha and beta, topology right?
[0,1] with subspace topology of standard topology on R and R with standard topology
Sorry my question is alpha a subspace topo of beta or not if i is continuouS.
Y is subset of X, if Y is proper subset of X then how alpha is subspace topology of beta? I don't understand your question
Like Notknow says, take [0, 1] with the subspace topology in R. The inclusion map is continuous, but the topologies on [0, 1] and R are incomparable; [0, 0.5) is open in [0, 1] but not in R; conversely, (1, 2) is open in R, but not in [0, 1]
yes, this one is good. you need to figure out a way to extend E to all of R
Let f be a real uniformly continuous function on the bounded set E \subset R. Prove that f is bounded on E.
Since E is bounded so d(x,y) < M, for some M>0.
By uniformly continuously, there exists e>0 such that d(f(x), f(y) ) < e for d(x,y) < M.
So f is bounded on E.
Is it correct?
I think no how can I choose e>0 for M?
take a limit point e of E. there is a sequence of points e_n in E converging to e. f(e_n) is a cauchy sequence due to uniform continuity, so it converges to something. use this idea to extend f to a bigger function F on cl(E).
I am putting the question let $Y$ is a subset of $X$. Now the inclusion map $i:(Y,\beta)\to (X,\alpha)$ between these topological spaces. Now my question is if $i$ is continuous then the topology $(Y,\beta)$ is the subpace topology of $(X,\alpha)$?
Vishnu das
i.e. that mean can we write every member of beta as a intersection of $X$ and some member of alpha?
Vishnu das
-
The inclusion map is always continuous when beta is the subspace topology coming from X
-
alpha is generally not a subset of beta, since, for example, if Y is a proper subset of X, then X is in alpha but not in beta
-
beta is not necessarily a subset of alpha. for example, take Y = [0,1] and X = R. then [0,1/2) is open in Y but not open in R
what is the confusion?
No, no. I never said Y is a subspace topo. This beta is some arbitrary topo on the subset Y
what do you mean by inclusion map then?
Set theoretic map
do you mean an injection?
Yes since Y is a subset of X
It is well defined
And we know the converse of my question is standard .
you are asking if beta makes the inclusion map continuous, then must beta be the subspace topology, correct?
Correct exactly this is the question. @prime elbow
Not exactly I think. Because then there can be more open sets which are not of the form X intersection open set of alpha
{1,2} maps to {1,2} and take first topology with discrete topology and second one with indiscrete topology
So then since cl E is closed and E is bounded its image also bounded
Because we can use compact
correct. im trying to think of a good example tho.
consider the topology generated from the basis of all open intervals and all open intervals minus {1/n : n in N}
this is called the K-topology
it is strictly finer than the usual topology
The subspace topology is the coarsest topology that makes the inclusion map continuous. You could assign the discrete topology to Y for example, that would also make the inclusion map continuous
so endowing, say Y = [0,1] with the K-topology and X = R with the usual topology makes the inclusion map continuous
but the K-topology on Y is not the subspace topology inherited from the usual one on X
I wanted to prove bijective local homeomorphism implies homeomorphism
So let f: X->Y be bijective local homeo
Let U an open of X

For each x in U, there is an open V_x such that f is homeomorphism from V_x to f(V_x)
Denote by U_x the intersection of V_x with U
Since f homeomorphism on V_x and U_x subset V_x, f is also homeomorphism from U_x to f(U_x)
so f(U_x) is open
And U is the union of the U_x's for all x in U
yeah
So f(U) = union of f(U_x)'s is open
So f is open so f is homeomorphism
This works right?
And also this same proof shows that local homeomorphisms are open maps right?
Yeah local homeo being open map feels cleaner
And then bijective implies homeo follows
you can quickly show that a local homeo is continuous by invoking the local criterion for continuity too

Mhm sure
I didn't even notice you don't require continuity in the definition of local homeomorphism
are you learning topology at the moment too, Bequi?
I'm doing the appendix chapters of Lee's smooth manifolds
That review stuff needed for the book
In metric space, if l is subsequential limit of sequence x_n then l is limit point of { x_n | n in N }
x_n may be a constant sequence
I see
How it contradicts that f(x_n) not converges to f(x), if I have subsequence f(x_n_k) converges to f(x)?
I don't understand how uniformly continuous helps me to extend this function?
it tells you that f(e_n) is Cauchy
@prime elbow
are you asking for help showing how uniform continuity implies f(e_n) is Cauchy?
No
So if x in cl E then there exists x_n in E which converges to x.
Now since f is uniformly continuous so it maps Cauchy sequence to Cauchy sequence
And Cauchy sequence is convergent in R
yes
So lim f(x) exists?
Now g(x) = lim f(x) for all x in cl E ?
Now f is continuous so for all y in E lim f(y) = f(y)
you define f(e) to be the limit of the cauchy sequence f(e_n) for any choice of convergent sequence e_n --> e
yes
Yes
yep
And to check continuity of g
on E, g is continuous
At E' points ?
yes
Yes
But on E'?
Means limit point which is not in E
By definition of g
Because we define g(x) as lim f(x)
So any x_n converges to x, so lim f(x_n) also converges to lim f(x)
Because lim f(x) exists
this feels imprecise
Yes
right
so you can actually show that g is uniformly continuous
and this is a bit easier
let ep > 0. from uniform continuity of f on E, there is a d > 0 such that for any x,y in E with |x - y| < d, we have |f(x) - f(y)| < ep/3
set d' = d/3. let e,e' in cl(E)
there are four cases:
(1) e,e' are both not in E
(2) e is in E, e' is not in E
(3) e is not in E and e' is in E
(4) e and e' are both in E
in case (1), suppose |e - e'| < d' = d/3. let e_n --> e, e'_n --> e'. We can choose n large enough so that |e_n - e'_n| <= d by using the triangle inequality
try to show now that |g(e) - g(e')| <= ep by using the triangle inequality and the fact that f(e_n) converges to g(e), f(e'_n) converges to g(e')
cases (2) and (3) are symmetric, and similar to (1), just less complicated
case (4) is trivial
Got it, thank you ❤️
I think we can do it in just one case, right? But yes it helps to understand if we do work on cases
So by this exercise we can say that if E is dense set in metric space X, and let f be a uniformly continuous real function defined on E, then f has unique continuous extension from E to X
Unique because if there exists g then f=g on E, so f = g on X
What if I replace R with another metric space Y ?
well, we are using completeness here
And what about X ? What is the weaker condition we need
Need just topological space
But in topological space I don't think so any concept of Cauchy sequence
metric space
@rancid umbra thank you ❤️
Yes
there are other generalizations, but they are a bit out of scope
this is a good generalization
there is this concept called a uniform space, where the same statements hold, the codomain has to be a complete uniform space
Okay
they generalize top spaces and metric spaces in some sense
but like, the idea is the same
@quartz horizon this the Yoneda lemma?
Wait what is
this guy
uniformly continuous map from a metric space to a complete metric space extends uniquely to a map on the completion
uniformly continuous map from a uniform space to a complete uniform space extends uniquely to a map on the completion
Oh that sounds like a universal property?
So if you call X the uniform space, and X bar the completion
Then uniformly continuous maps X -> Y for Y complete naturally correspond to uniformly continuous maps X bar -> Y
Setting Y = X bar and following the identity X bar -> X bar then gets you the inclusion X -> X bar
where is the natural transformation hiding here?
Ah so
In the category of complete uniform spaces, with uniformly continuous maps between them
ah
You have the hom-functor Hom(X bar, -)
This is naturally isomorphic to the functor sending Y to the set of uniformly continuous maps X -> Y
Yoneda in this case (as in every other case) tells you how one direction of the natural iso works
Precomposition with the inclusion
I think you might be looking for reflective subcategory
Yes this an example of one
This looks a lot like an universal property but I don't see how to phrase it as one
Can it be phrased as an universal property?
Yeah this is the universal property of subset
Continuous functions Y -> S naturally correspond to continuous functions Y -> X whose image is contained in S
This isn't just talking about continuous functions but about functions in general though
It’s equivalent
This also works in the category of sets
And lots of other categories
For any morphism f: Y → X with image in S, there exists a unique morphism g: Y → S such that ig = f
Or
The functor sending Y to the set of morphisms Y → X with image S is represented by S via composing with S → X
Yeah you can get those descriptions using yoneda
The continuous functions S -> S transforms to the inclusion map S -> X, whose image is contained in S
Let f_E: X -> R such that f_E(x) = inf{ d(x,e) | e in E }.
X and E are metric spaces, E \subset X.
Now if E and F are disjoint such that F is closed then f_F: E -> R is a positive real valued function, right?
Think so yeah
So if E is compact also so there exists M>0 such that M < d(p,q) if p in E and q in F.
Because f_F is continuous mapping so it maps to compact set in R and it will be [a,b], where a>0, right?
Not [a,b]
a union of closed bounded intervals yes
cuz otherwise u can construct a sequence using definition of infimum
So can I say that there exists M >0 such that M < all elements of that compact set
What is the characterization of compact sets in R? Closed and bounded
yea closed and bounded
But generalize?
I didn't read the whole conversation but there are compact subsets of R that aren't unions of closed bounded intervals like the cantor set
but yea i'm pretty sure u can say M < image(f)
Singletons are intervals of form [a,a]. I guess technically every set is an union of closed bounded intervals if you include those
honestly the convention around intervals is kinda weird
whats this mean by open sets?
when it says U is said to be open
does it mean like (x,y)?
open sets are elements of tau
its what they are, definitionaly
a naming convention
also i find that paragraph to be a piss poor definition
of what?
why is it a bad definition? 
okay so its just a naming convention, its just the sets that form the topology?
yup
okay im getting hung up on like why couldnt i use closed sets and form a basis that way.
so i think its squatched now thank you
you can do all this from the perspective of “closed” sets as well
You can phrase topology in terms of closed sets too if you want, though the definition of basis would have to be a little different
I found that definition needlessly confusing when I first read it, I wish they would just write that a family of sets is a basis if every open set can be written as a union of sets in the basis
you just invert the conditions on union and intersection
doesnt really motivate it
what would motivate it better?
Yeah i think there’s often a difference between “easy to check definition, hard to see consequences” and “hard to check definition, easy to see consequences”
dunno i dont have strong opinions on trivial things
lol
I think in general mathematicians tend to prefer the former
what makes it different from most definitions then? 
yeah…
I usually see most definitions dropped with little to no motivation anyways
most definitions explain themselves
hm, this has definitely not been my experience
but the motivation is always only found in the exercises section
To be fair, two pages later he writes in a lemma that if B is a basis for a topology T, then T equals the collection of all unions of elements of B. But when I'm confused, I'm not just gonna skip ahead two pages. I prefer if the easy to understand definition came first, then the more practical one later
idk i just woke up
i think it’s a skill to try and reinterpret abstract definitions
yeah, i think i tend to have this preference too
it’s part of why i prefer physics to math
yes this is frustrating
i found it to be the opposite in my physics classes
like
some stuff was all heuristics
maybe i’m getting at a different issue
who cares about definitions
but i hated it it bugged me
intuition wins
munkres

yes i much prefer this
Like, when you know the basis has to generate the topology under unions, both points of the definition make perfect sense. You need point (1) because the X itself is open, and you need (2) because the intersection of two sets are open. But if you don't know that, the definition seems kind of arbitrary
why?
yeah, lots and lots of arbitrary definitions pushed me away from maths
i tend to prefer focusing on what something “does” than what something “is”
physicists don’t tend to make precise definitions of things because this is generally not very helpful for doing physics
that’s what made it feel inaccessible to me
hm, whereas maths felt quite inaccessible to me
i found myself asking my prof a lot: “literally what r u talking about?” when they would gloss over some stuff. ig i just couldn’t let it go by without understanding some stuff first
weird
now look at us
both in a math server
u kinda need both guys
imo
im new to math so idk really but like
u get new ideas and like solve problems
not with ur definitions tbh 😄
with ur like
feel
or intuition
when u write it out then it's l;ike definitions and shit
I mean, im still very much a physicist
I am not a mathematician
yeah, I think different people will have different preferences here, because this is how I felt in my math classes
i think we’re dual-ing
dual-ing?
hm, but im not trying to fight you or anything
cuz thats the wrong way to think about bases for a person whos first learning the subject
there tends to be this tension between what’s more efficient, and what’s better pedagogically
also there wont be a clear parallel if you will be introducing bases at a point
also if you are going to do the generator definition you kinda need to prove that it generates the least topology that contains that basis
which is implicit and obvious if you are mature enough of course, but if you arent its not very good
I should say lol
I have found the "generating under unions" to be the standard one and I see no reason to prefer the other
It is more intuitive and catchy and usable lol
Perhaps the other definition should be a proposition instead, a corollary from the "generating under unions" definition
this is usually the style I’d prefer - present the more usable definition first, and then supply the more efficient definition as a proposition
that's precisely what Lee does in ITM
haha
I think Munkres does it the other way around then?
yes
it was confusing until i realized that the union defn was way more fundamental
our course followed munkres so close except for the ultrafilter stuff
u should read on ultrafilters sometime higher its pretty cool
I see
oh yeah ultrafilters can be used to do compact Hausdorff spaces or something
ultrafilters are super cool they convinced my friend and i to read kunen
what’s kunen
set theory
ah, right
going to a forcing course is probably the most set theory I’ll ever do, I imagine
read "notes on forcing axioms" by todorcevic i hear its great
and by great i mean horrible
i think I’m good…
Any hint? Let D be dense subset of a metric space, and suppose that every Cauchy sequence from D converges to some point of M. Prove that M is complete
each point in the sequence is approximated by a point in D
you can make the approximation arbitrarily precise as n grows
I see
How can one show that the open balls with rational radii form a base for some metric space X? An argument I've seen is that every open ball with irrational radius p is the union of open balls with rational radius r<p, and so every open set is a union of open balls with rational radius (here we have accepted that the open balls with real radius form a base). Does this argument work? Is every open ball with irrational radius a union of open balls with rational radius because the rationals are dense in the reals?
Yes
You can do this more explicitly though
B(a,r) is the union of B(a,s) over all rational s < r
And then yes this follows by density
ok, I see 👍
You can also show that e.g. balls of radius 1/n form a basis though
Where you can't use the same trick but yeah
ah interesting. I believe this is the next theorem in the book
Ah I remember this hint in Rudin chapter 2
It is impossible to. If that was true then in particular (1+1)x1 = (1+1)x(1+1) which is false
let m,m,p be a cardinality then (m+n)p=mp+np.
It this a false proposition?
To proof this, I think one-to-one corresponding f: (A∪B)×C → (A∪B)×(A∪C) (card A=m, card B=n, card C=p)
Maybe you meant to say (AxC) ∪ (BxC) instead of (A∪B)×(A∪C)?
Consider the following definitions in my book: \
A family $(U_{\alpha}){\alpha\in A}$ of sets is said to cover a set $S$ if $S$ is contained in the union of the $U\alpha$'s. An open cover of a metric space $X$ is a family of open subsets of $X$ that covers $X$. And $X$ is compact if every open cover has a finite subcover.\
So is it true that the finite subcover, or the open cover for that matter, will always equal $X$? Seems strange somehow, but this is what I infer from these definitions.
Sorry. You are right.
psie
ok, so we have that X is contained in the open cover by definition. But since every set in the open cover is a subset of X, the open cover is also contained in X. So hence equality.
No
The (open) cover consists of (open) subsets of X
not of elements of X
For example {X} is always an open cover of X
hmm, but a union preserves inclusion, or? If U_i are a collection of subsets of X, then their union is still a subset of X I think.
If I take my set X = N union {0}, and d_1 is discrete metric on X and d_2 is standard metric induced on X by R. Then d_1 and d_2 induce same topology but d_1 and d_2 are not bi-lipschitz, right?
Yes
There's not even a lipschitz surjection from (X,d_1) to (X,d_2) since d_2 can get arbitrarily big while d_1 is always at most 1, right?
Yes so it is not bi-lipschitz
What is lipschitz surjection ?
A surjective function that is lipschitz
I believe so
Thank you ❤️
In b part, I think we need to define y_n as recursively, right?
Since e_n is positive so there exists k_n such that d(x_i, x_j) < e_n for all i,j ≥k_n.
So let y_n = e_k_n. Now for e_(n+1) there exists k_(n+1) such that d(x_i, x_j) < e_(n+1) for all i,j ≥ k_(n+1).
So if k_n ≥ k_(n+1) then we can choose y_(n+1) = x_(k_n +1) and if k_n < k_(n+1) then choose y_(n+1) = k_(n+1).
Is it correct?
Anyone?
surely this is a typo, right? xn is in a metric space. what does it mean to multiply?
that is really horrific
y_n is a subsequence of x_n. did you mean to set it to a real number?
no
Wait
I meant y_n with the corresponding x_k_(n+1) or x_(k_n +1)
consider a Cauchy sequence in M, call it a = (a_n). You can modify it to be in D by considering b = (b_n) contained in D such that d(a_n,b_n) < 1/2^n (by density). This will still be a Cauchy sequence ( d(b_n, b_m) < 1/2^(min(n,m)-1))
You can construct such a sequence:
Let (i_n) be the sequence of the y_n it is much easier to construct it in terms of the indices.
Take i_n = max{min{k: d(x_r,x_s) < eps_n forall r,s >= k}, i_(n-1) +1}
then take y_n = x_(i_n)
such a sequence constructed this way will convergence incredibly fast btw
these sets {k: d(x_r,x_s) < eps_n forall r,s >= k} are always of the from {k0,k0+1,...}
Which are especially nice to work with, cause there's no gaps
Yes then let b_n converge to x so d(a_n,x) ≤ d(a_n,b_n) + d(b_n,x) < e, right?
Is my proof correct?
Yeah
Does anybody know how to prove this? I've been stuck on it for a good amount of time.
Let $(X,\tau)$, $(A, \mathcal{U})$ be topological spaces, $F \subseteq A \subseteq X$, and A be a subspace of X. Then F is closed in A iff there exists a closed set F' in X such that $F=F' \cap A$.
Do you just want the solution?
Also I'm guessing the topology on A is supposed to be the subspace topology?
Yes, A is a subspace topology. Forgot to add that
snus
I just want hints
Can you do either of the directions?
wdym?
The problem is asking for an if and only if
In other words you're supposed to prove:
\begin{enumerate}
\item If $F'$ is a closed subset of $X$, then $A \cap F'$ is closed in $A$.
\item If $F$ is closed in $A$, then there exists a closed $F' \subseteq X$ such that $F = F' \cap A$.
\end{enumerate}
Can you do either of these?
Exomnium
I've only been able to prove this: let $\tau_A$ be the subspace topology for A, then $A \backslash F \in \tau_A$ iff there exists a closed set F' in X such that $F = F' \cap A$
snus
But that's equivalent to what you're supposed to show
A set is closed iff its complement is open
Can I prove the converse like this: Suppose $U\subseteq Y$ is open, we want to show $f^{-1}(U)$ is open. Let $x\in f^{-1}(U)$ then there is a ngbh $V_x$ such that $f \restriction_{V_x}$ is continuous. Thus $(f\restriction_{V_x})(U)=f^{-1}(U)\cap V_x$ is open. Notice $$f^{-1}(U)=\bigcup_{x\in f^{-1}(U)} (f\restriction_{V_x})^{-1}(U)$$ is open.
(I am talking about proposition 2.19-- local criterion for cont)
wait I wrote line 1 incorrectly

I mean " let U sub Y now we want to show f^-1(U) is open"
my bad
Afzal
yes you can do it like this
take a look at the proof of 2.8 g tho
its the same argument
are you saying I already proved it?
oh yes yes. I see, that bullit point of prop 2.8 is same since $A=\bigcup_{x\in A} U_x$ where $U_x$ is ngbh of $x$
Afzal
thank you c squared
With like one more line, yes
does this mean showing F is closed in A iff $A \backslash F \in \tau_A$?
snus
Yes
may I have a hint? I feel stuck
What is a closed set?
A subset A of B is closed iff $B \backslash A$ is open in B
snus
And what does being in tau_A mean?
$\tau_A = {U \cap A | U \text{ is open in } B}$
snus
If f is continuous mapping from Compact metric set X to metric set Y. Then f is uniformly continuous on X.
Now since f is continuous on X.
f is continuous at x_i, for all e>0, there exists \delta_x_i >0 such that d(x_i,x) < delta_x_i implies d(f(x), f(x_i ) < e.
Now let open covering B(x, delta_x ) over x in X then it covers X. So finite open covering covers X.
So let B(x_i, delta_x_i/ 2 ) , i = 1,2,...,n. It covers X.
So let y in X, so y in some B(x_i, delta_x_i/2 ) so d(x_i, y) < delta_x_i/2 and let x in B(x_i, delta_x_i/2) so d( x,y ) < delta_x_i.
Also d(x_i, x) < delta_x_i implies d( f(x_i), f(x) ) < e
And d(x_i, y) < delta_x_i implies d( f(x_i), f(y) ) < e
So d(f(x), f(y) ) < 2e.
Thus for every e>0, there exists delta>0 such that if d(x,y) < delta then d( f(x), f(y) ) < e.
Is it correct?
just a note: you can just write d_i, no need to double subscript
when you say, “so let y in X, so…”, just say, “let x, y in X with d(x,y) < min(d_i/2)”. it’s more clear that way
otherwise it looks fine
Okay thank you
the picture you've drawn is not that helpful for thinking about ultrametric spaces
when you say "the midpoint" it's not really a thing
for instance, every point of a ball is its center in an ultrametric space
can you expand a bit on that part below the line |AC|_p <= max{|AB|_p, |BA|_p} did you mean |BC|_p for the second term instead?
I gotta go, feel free to ping me, but you might also like to try proving that if |x| != |y| in an ultrametric space then |x+y| = max(|x|,|y|) (the strong triangle inequality becomes an equality) and also try proving that fact about the center of balls earlier
No, the terms are what I meant
I think I made two mistakes
I knew I did, I'm just checking what the correct thing is
I have no clue how to prove them, if you may link me to good resources please
Also is there anything specific I don't know about plotting ultrametric spaces or projecting them onto orthonormal ones?
If I'm not wrong, by ostrowskis lemma, all ultrametric spaces are equivalent to p-adic ones sorta. Can't we plot p-adic points on the real number line by reading them right to left? (Basically treating them for example as numbers from 1 to 0)
Though I think then p-adic "straight lines" would look like fractals
Is that what the cantor set is about?
I'm so sorry for asking so much I'm really lost and not nearly equipped with the necessary prerequisites
not quite what ostroski's lemma says, and also sort of unrelated to that way of plotting p-adic points. You can do that but it's not really particularly useful to think of p-adic numbers with their digits reversed thrown on the real number line that way
I'd say get an intro book to p-adics like Gouvea's Intro to p-adic numbers or Katok's p-adic numbers compared with reals, or whatever they're called
Thanks so much
Some other good books are Koblitz's p-adic and zeta function book, Alain M. Robert's book (forgot the title), Schikhof's ultrametric calculus but may be a bit tougher
Thanks a lot
You are the best
you're welcome lol, there are quite a few people better than me here I assure you 🤣
You have no clue how horizon expanding this is
Imagine that 2 days ago the most mathematically knowledgeable person I knew was my highschool teacher
I am trying to wrap my head around how $\mathbb R^2$ and $\mathbb C$ share the same open sets (I am studying Folland's real analysis text, and out of the blue, he just states that the Borel $\sigma$-algebra on $\mathbb R^2$ is the same as that on $\mathbb C$). If we equip both spaces with the usual metrics, the Euclidean one, then they have the same open balls, hence the same open sets. But can we equip the spaces with metrics such that they have different open sets?
psie
Their standard topologies are the same (the one induced by the euclidean metric) but you can give them different metrics that result in different topologies sure
R^2 is in bijection with R, so you can certainly equip topology from that as well
But this is not something we usually care about in the context of real analysis
In that context we're basically only worried about the standard topology
Ok 👍 so I assume Folland has simply assumed R^2 and C are equipped with the standard topology
If someone talks about their open sets or metrics without additional information then that's pretty much always what they're assuming yeah
When someone says that arctan(x) is a homeomorphism between the extended reals and [-pi/2,pi/2], how can that fact help me determine/characterize the open sets of the extended reals?
I don't know a lot about homeomorphisms, except the definition. I know what the open sets in [-pi/2,pi/2] look like. Since it is subset of the real line, an open set U in [-pi/2,pi/2] is just U= [-pi/2,pi/2] cap V, where V is open in the real line. However, with the extended reals, I feel like I can't make the same argument, since, at least to my knowledge, it is not a subset of some metric space I know the open sets of.
If f: A->B is a homeomorphism then a subset U of A is open in A iff f(U) is open in B
Ok, are all homeomorphisms open maps, i.e. mapping open sets to open sets?
By definition, yes
Although there's a subtlety to keep in mind when one space is homeomorphic with a subset of another.
Since then the homeomorphism will map open sets in one space to ones that are open in the subspace topology (but not necessarily in the whole-space topology)
Ok, so in my case arctan(x) (or really, the continuous extension of arctan(x)) will map open sets in the extended real line to open sets in the subspace topology of [-pi/2,pi/2], i.e. sets of the form U=[-pi/2,pi/2]\cap V, where V is open in R?
Ok 👍
sorry if this is obvious, but why will this occur? Why will the homeomorphism map open sets in one space to ones that are open in the subspace topology (as opposed to sets that are open in the whole-space topology)?
The real line is homeomorphic to the set {(x,y): y = 0} as a subspace of R^2
The image of (0,1) is the set {(x,y): 0 < x < 1, y =0} in R^2
Which is open as a subset of {(x,y) : y = 0} in the subspace topology inherited from R^2, but is not open in R^2 as a whole
The homeomorphism is between space X and some space Y; and if space Y is a subspace of some bigger space Z, the homeomorphism still only cares about the subspace topology.
ok 
I've been trying to think of a counterexample: For X and Y topological spaces, if Y is regular then it is well-known that the space of continuous functions C(X,Y) with compact-open topology is regular. However if we consider the set of all functions F(X,Y), then books (e.g. kelley, willard) claim this is not regular with compact-open topology even if Y is regular
best I could find regarding this in MSE was this unanswered question: https://math.stackexchange.com/questions/4186696/how-to-prove-that-cx-y-is-completely-regular-but-not-normal
item 2 is my question (kinda), and a coment just say to "use a regular space that is not locally compact like the rationals"
I dunno, all functions is too large of a space to think of something useful, does anyone know a counterexample?
Did you try the rationals, as in the comment?
Well I suppose he meant Y = Q? or both spaces being Q, anyway I'm not sure where this would lead, perhaps contradict the fact that Q is not locally compact somehow?
Probably dumb question, but in proving 2.12, how can i be sure that a neighborhood of a contains infinitely many points of X-A?
If there is a neighborhood of a that doesn't contain infinitely many points of X-A, then a is in the interior of A
Oh
That's very simple indeed
And, to be clear, it's because you can take the open ball of radius smaller than distances of a to a finite set and that would contain no elements of the exterior
yes
well no elements of the complement, technically the word 'exterior' is sometimes used to mean the interior of the complement
I guess so, i used ext cuz complement is more letters
Having difficulty with 2.13 as well
You mean with figuring out why the construction satisfies it?
Yeah
I feel like i have a mental picture but i can’t solidify it
nor describe it
Looking back at this, 2.13 seems... not true?
Define R to be the elements of {U} contained in W' and S the elements disjoint from it. This should be a partition of {U}. We should also have \bigcup R and \bigcup S as a partition of A. Then \bigcup R and \bigcup S are open, which should imply that A is disconnected (which is not true for arbitrary X,A)?
I think you might have misread it
It says that the intersetion of U and W' is nonempty implies that U is contained in W
It is definitely not false
Hi sorry apparently I'm illiterate. Just in case you haven't figured it out yet, you need to construct a small enough ball around a and then apply the triangle inequality a couple times.
Not sure what you mean
Could you spell it out a bit more
Let's say we have a ball B of radius r around a, a U in {U} such that B\cap U is nonempty, and a point x in U. What's an upper bound on d(x,a)?
oh my goodness
Much better way to think about this
I think i’ve all but lost my mind overthinking this
Let B(a,r) in W, then W’ = B(a,r/3) will suffice
How do i verify this
I think i basically want to show that if x_U is in W', then x_U is not in any other U
Damn
I think it's just incorrect
$F(x_U)$ need not equal $f(a_U)$, since $x_U$ can be in multiple $U_i$'s. Either way, it doesn't matter.
aNDY
I can show $f(a_{U})\in V$, and that's okay
aNDY
in the axioms of a topology when we say any arbitrary union of open sets is open that union can be countable or uncountable right
Yeah
cool thx
Turns out it was very fucking hard to prove
Hello, I have been working my way through John M. Lee's Introduction to Topological Manifolds and I'm stuck on Problem 4-6 part b).
I've been trying to prove that the long line L is locally Euclidean to R, however there is a problem then I try to get a neighborhood of a point of the form (y, 0) be homeomorphic to an open interval in R, for an arbitrary y in the set Y.
Since for the point to be locally Euclidean, I need to find a y' such that it is the biggest element of Y that is smaller than y.
But such an element does not necessarily exist. Since we can order, for example, the natural numbers such that all the even numbers are smaller than any odd number, and 1 won't have such a smaller number, despite having countably many elements smaller than it.
And without that best I can do a homeomorphism to the closed interval $[0, \infty )$
Zugr
Why? Why specifically do you need the biggest one?
Yeah, you can't just take the "previous" segment, because as you note, one might not exist
There's a discussion and explanation here, on how to handle the limit ordinals
So that I can build an open neighborhood around that point. If I pick an arbitrary y' < y to glue onto {y} x [0, 1), then it won't be an open neighborhood.
Because of the order topology, it's basis is made up of the sets of elements that are strictly smaller or bigger than any element. There are no finite intersection of such sets that gives us an open set {y} x [0, 1).
And by gluing I mean just taking the union of {y} x [0, 1) with a {y', (a, 1)} for some a and calling it a an open neighborhood of (y, 0)
Yep, and that works great if y is the successor of y'
For limit ordinals you need to be more tricksy, as described in the MSE post I quoted
Thank you linking that. I'm currently trying to wrap my head around it. From what I understand, it takes a countably infinite number the the segments that are below (y, 0) as the neighborhood and contruct a homeomorphism from that to (1, 3). Though I'm still trying to wrap my head around the given function.
It should also work for my specific set L, I'll just need to do a cut-off at (y_0, 0)
Yeah, thinking in ordinals takes some getting used to, I often struggle with intuitions as well. But for an intuitive example of how these intervals work: think of the union $\left(\bigcup_{n=1}^\infty \left[1-\frac{1}{n},1-\frac{1}{n+1}\right)\right)\cup[1,2)$
Outsider
You've got countably many intervals which add up to [0,1), and then you glue [1,2) to it at the end
So 1 has a perfectly nice neighborhood in this set, even though [1,2) doesn't have an immediately preceding interval
And the whole thing is locally euclidean (0 aside)
That makes perfect sense, thank you.
What's described on MSE is basically this, except you need to prove that you can do this kind of interval packing for an arbitrary countable ordinal.
I'll get right to it then.
And yeah, it gets very hard to visualize very quickly
Hi, idk if this is the correct chat, but does anyone have a demonstration of why The Sorgenfrey Plane is not T4 ? Ty.
Consider the sets {y=-x:y,x\in Q} and {y=-x:y,x\not\in Q}
its a separable space with a closed discrete subspace of uncountable cardinality
that doesnt happen in normal spaces
"And the sphere (surface of a ball) can be constructed by taking a disc and collapsing
its entire boundary to a single point; see Figure 22.2"
wut
it's true
i dont understand it really
what does collapsing boundary to a single point mean
instead of the boundary being distinct points, we now identify the whole boundary as one single point?
Yes
Precisely, it means the quotient space of the disc by the smallest equivalence relation such that all points on the boundary of the disc are equivalent
In topology and related areas of mathematics, the quotient space of a topological space under a given equivalence relation is a new topological space constructed by endowing the quotient set of the original topological space with the quotient topology, that is, with the finest topology that makes continuous the canonical projection map (the func...
serendipitously it's the first example in the quotient space article on Wikipedia
ok so there is some sort of stretching going on too?
so that quotient set under quotient topology is homeomorphic to sphere?
I guess it would prob be nice to see it all worked out and to see a homeomorphism
hahaha I hardly understand the quotient in a group.
I mean, the animation in the picture is the homeomorphism.
If it's easier one dimension down, it's exactly the same idea as of you take a line segment and identify the endpoints you get a circle.
Using spherical coordinates will help write out an explicit homeomorphism
Together with the universal property of the quotient
How does that work here?
Ah, every continuous map from the disk into some space Z which is constant on the boundary, corresponds to an unique continuous map from the sphere into Z
That’s roughly the idea
You do still want a continuous map from disk to sphere
I was going to suggest following geodesics
Yeah, but then use the universal property to avoid working with the quotient topology directly.
I like this.
Mhm
Then you can use topological inverse function theorem
Since you’re mapping from compact to Hausdorff
So you just need a continuous bijection
I think this is the first time when I genuinely find this kind of reasoning advantageous.
Nice lol
So far every time I saw universal properties mentioned, I didn't find that approach much more useful than arguing directly.
But using quotient topology directly is annoying.
Mhm, it’s often easier to look at what the quotient topology “does” than what it ”is”
True, since the most intuitive way of looking at quotient topology is that it glues together certain areas of your space.
I also agree that starting with an explicit construction for the one-dimensional case (an interval with endpoints identified is homeomorphic to a circle) will probably be much easier to handle.
And the idea of universal property is to focus on how that gluing affects continuous functions out of the space, i suppose
Continuous functions can’t separate “glued” points, essentially
Well yeah, since topology can be characterized by what functions are continuous.
That is something that's often used whether or not you employ the language of universal properties etc.
Weak topology and product topologies are often defined as "the weakest topology in which a certain collection of maps is continuous"
Mhm
Specifically, which functions to the sierspinski space are continuous
But also in the sense you mean with initial/final topologies
I was thinking of the more specific cases, where in the weak topology you're looking at linear maps into R or C, and in product topology you're looking at projection maps into the component spaces.
Mhm mhm
You can also phrase these as universal properties, which is often called their “characteristic property” for some reason
i dont understand this example, starting from why h is a homeomorphism. isnt the map from M_f to N a deformation retract. or inclusion map? it isnt bijective right?
and whats the mapping cylinder? ive been thinking of it as a join of the domain and the image
TBH I prefer the term "characteristic property", since to me it conveys that it's a kind of property that uniquely characterizes your object. Meanwhile when I see "universal property", it sounds to me like it's some kind of property that all objects have.
I usually read “universal property” these days as specifying how your object relates to everything else in the “universe”
I do see how “characteristic” property as uniquely characterising an object is good, though I think universal/characteristic properties are useful beyond defining an object up to isomorphism
Thanks guys!
when we talk about a circle or a sphere, what is the topology on it? Should I think of these objects on their own or as being embedded in R^n?
Do they take the subspace topology from R^n or smth?
They do
But they're still topological spaces on their own
And they can embed in nonequivalent ways (for some sense of nonequivalent) into R^n
Knot theory is about that
ok, but in a first course i should indeed think of these shapes as being embedded in R^n and having subspace top?
with usual topology on R^n
Yes
Thx
I mean topologically they are all equivalent though, no?
Their topologies are equivalent, but embeddings have more information than just the topology of the domain
To say that p is a quotient map is equivalent to saying that p is
continuous and p maps saturated open sets of X to open sets of Y (or saturated closed
sets of X to closed sets of Y )
I'm not really understanding this too well
The saturated open sets of X are a smaller collection than the open sets of X, im just not seeing how if the saturated open sets map to open sets in Y, then all open sets in X map to open in Y
You’re right, in general quotient maps need not be open maps
An surjectivebopen map will be a quotient map but the converse is not true
For a counterexample, consider identifying two sides of a square to a cyllinder. In the square, an open semicircle on one of those sides will be open (by the def of the subspace topology), but its image in the cylinder is a semicircle together with a closed line segment, and its image is neither open nor closed
Oh ok I was getting definition of quotient map confused!
One sec
Let X and Y be topological spaces; let p : X → Y be a surjective map.
The map p is said to be a quotient map provided a subset U of Y is open in Y if and
only if p−1(U) is open in X.
This does NOT mean that open in X gets mapped to open in Y
i thought it did but i think i see the difference now
Yeah. The nuance here is that the semicircle I described isn’t saturated
Bc the line segment is on one of the edges of the square, so getting identified, it’s preimage isn’t just the open semicircle but the semicircle together with a line on the other side. The full preimage isn’t open
I think this example is a bit too much for me rn
Lemme draw it
Shitty notes app drawing
Notice that the inside of the red semicircle, including the line on the right, is open in the drawing on top
But in the bottom, it gets mapped to this half open thing where half of its boundary is open and half isn’t
I really should’ve drawn the semi circle part with a dashed line
That would’ve made it clearer what I meant
For p bijective (or probably just injective), the saturated open sets are the same as the open sets right
Random question, [0,1] U [2,3] with the subspace topology from R, the set [0,1] is both open and closed?
Yes
thx
#JustSayClopen
apparently some people are oposed to that
And they are wrong
like me, who prefers to say "oposed" instead 
ah, I just realized you said the joke too
well done!
Some like the word clopen. Others are oposed.
what a terrible joke