#point-set-topology
1 messages · Page 111 of 1
How does the mandelbrot set relate to the fibonacci sequence
anyone able to explain this to me since I cant seem to get it
Is the interval [0,1] path connected? What is its boundary?
yes its path connected, and its boundry is 0,1 i think its the (1-t)x + ty function
oh i see the boundry isnt connected
is that the point?
It's neither connected nor path-connected
the interval [0,1] isnt connected in real numbers?
The boundary I meant
yea i kinda got the point of that now 😛 i saw it as i was answering hehe
Thank you so much you made me see it
For the interior, imagine two closed balls touching at exactly one point on their boundary.
In R^2 for example
Like
The interior is the disjoint union of two open balls
that makes sense, and then i gotta show the intersection isnt an iterior right
could you also have two disjoint balls, then connect them with a line?
Yes, that also works.
Highly recommend this book, btw: https://editorialdinosaurio.wordpress.com/wp-content/uploads/2012/03/counterexamples_in_topology_-_l-_steen__j-_seebach__1970__ww.pdf
(Support Dover and pay $10 for a real copy)
i actually have the pdf for this alreayd 🙂
i got an exam in less than a month and im just trying to keep afloat
ill look at it when i got time
when i looked at it last time i couldnt understand it
It's meant as a reference.
I continued watching the video I was watching yesterday to review and here he says this that contradicts what I've been told here. Just what is going on?
What have you been told before and what's the contradiction?
Is it about the fact that in this example (1,3] is both open and closed?
If so, then: whether a set is closed and/or open depends on the space it's in. (1,3] is closed (and open) in the space X from this example, but it's neither closed nor open in the space R (the set of all real numbers with the usual metric)
Oh it seems that that was my mistake. I mistook A being open / closed in X as it being open / closed in the space R. Thank you for clearing that up.
So in the example, A is open in X because despite including 3, the epsilon ball B_1(x) is fully contained within X? If this is the case, why is A closed? Does A have any boundary points?
is the closure of A (0,inf) for x and for y its [-1,1]?
no the closure of A would include zero right, since its a limit point?
Did you sketch A?
Proving that A is closed (in the space X) is a good exercise, and how exactly you should go about it depends on what definitions/characterizations of closed sets you have available at this stage.
yes of course, thats not difficult
its all wiggly around the orgin, and it goes towards zero as it goes to infinity
Also I'm not sure what you mean by "for x" and "for y" in your description of the closure
a set is closed if its complement is open. the complement of A in X is (4, inf), which you can check is open 
Yeah, that's the fastest way, but relies on knowing this characterization of closed sets.
Although it's also a good exercise to prove closedness using various criteria (for example, a set is closed if and only if it contains all its limit points, or a set is closed if and only if for every convergent sequence of its elements, the limit is also its element)
Or indeed a set is closed if and only if it contains all its boundary points
My preferred three characterizations of closed sets, in no particular order, are "the complement is open", "is closed under the operation of taking limits of convergent sequences", "contains all its adherent points (i.e. if x is in X and for every epsilon the ball B(x,epsilon) has nonempty intersection with A, then x is in A)"
The last one is almost the same as "contains all its limit points", but the definition of adherent point is simpler (there isn't that clause about excluding the point itself from consideration).
Is it possible that a subspace of X is homeomorphic to Y and a subspace of Y is homeomorphic to X, but X is not homeomorphic to Y? Why or why not?
[1/2, 1) is homeomorphic to x
And X is not homeomorphic to Y
The thing I am confused is: U_alpha is open convering of A, so it might contains some elements even outside of A. But U'_alpha intersects A must totally contained in A, why U_alpha=U_alpha' intersects A?
if that is typo, then how we can modify this part, can someone give me some ideas?
Is R\Q separable?
yes
if U is open in A, then U = U' \cap A for some U' open in X. this is the definition of the subspace topology.
but my confusion is, U might contain some elements in X but outside of A, so I think we can not say U is open in A?
I mean U_alpha might not be subset of A, why it can be open in A
no, U' is open in X. U is open in A by definition.
but U_alpha is also every open covering of A, this means we even can let U_alpha cover many points that does not belong to A. I know that subsapce topology on A is U' intersects A as U' is open in X, but it must be subset of A
so since U_alpha is possible to contain points that does not belong to itself, why we can define it as subspace topology of A
I think U_alpha can only be open in X, so it should be wrong. but we can write {U_alpha} union X-A that covers X. In that case, because X is compact, we have finite subcover of X. Then we can just discard the set X-A as the subcollection of subcover contains X-A, and the resulting subcollection of cover is finite for A
The above argument seems correct to me.
Consider a set that as an empty interior, a non empty boundary, and it contains all of its boundary (so like the subset {(x, y) in R^2 | x^2 + y^2 = 1) . . . Is this set Clopen?
Because if yes because it technically contains all it’s interior points (which are none), then the example this is a non trivial Clopen set of R^2, which doesn’t make sense since R^2 is connected,
And if no, then how does it not qualify as a Clopen set which it contains all interior points (is open) and it is it’s closure (it’s boundary union it’s interior aka is closed),
Oh and I also checked to make sure open set (belonging to topology) means is contains only interior points (there might be something wrong with this?):
And likewise for closed sets:
those are some interesting notes...
But because it has an empty interior it technically contains its interior points?
We use the same logic for empty set right? That it is open because it contains it’s interior points (which is none),
Oh,
OH
So open sets ONLY contain interior points?
,rotate
Couldn't find an attached image in the last 10 messages.
i think converse is true but i am not sure, can anyone verify it?
How can I show that in order topology [a,b] is a closed set? Can I say it is a complement of open sets by studying cases ?
Order topology on X
obvioulsy the image of A is the ray or projection onto x, which is homemorphic to (0,inf) which is path connected.
to show that X is connected can i say that A is dense in X. Let X = U cup V
A = A cap X = (A cap U) cup (A cap V) Let V be empty, and then A is dense in X, and the space X has an everywhere dense subset A and is thus connected?
$f_n(x) = \frac{x^n}{n}, \quad f_n'(x) = \frac{nx^{n-1}}{n} = x^{n-1}, \quad |f_n|Y \to 0, \quad |Df_n|{\infty} = 1$
noctambulant
is the counter enough to state the desired ?
alternatively you can take f_n(x)=sin(nx)/n which goes to 0 in the \infty-norm, but f'_n(x)=cos(nx) does not
but yeah any sequence of functions which goes to 0 in the \infty-norm, but whose derivatives do not, suffices as a counterexample
so that proves it right ?
yeah
alr
is it hard to generate continous fucntion from (a,b) \to R for which F^- is also continous
Using topology and geometry by Bredon, in definition 9.5 he uses the equality with three lines (which i only know from modular arithmetic). It's not introduced anywhere and isn't in the list of used symbols
Does anyone have a clue what it is?
my guess is f(x) = 1 for all x in C
can i say in arbitrary topological space X times Y, (x_n, y_n) converges to (x,y) if and only if x_n converges to x and y_n converges to y.
i know it is true in metric space, but i think it is also true in topological space
It's true here also as product of open sets is a basis for product Topology
yes, thank you
there is a question characterize the continuous function from R(co-countable topology) to R(usual topology), now i know constant functions are continuous, and identity function is not, but no idea how to characterize it?
It might be easier to think in terms of closed sets, since in the co-countable topology a set is closed if and only if it's countable (or all of R).
So for a function to be continuous, the preimage of every closed set has to be either countable or all of R.
yes
i got it but i don't get it how to write, can i write simply this one ?
Well, I wouldn't consider this to be a characterization, but it might be a good starting point to developing one.
okay
Disclaimer, I don't actually know the answer, but that would be my line of thinking
I suspect it might indeed be just the constant functions
Yeah, it will be, unless I'm misthinking.
this one is nice starting point
Let S be an uncountable set w/ the co-countable topology. You have the following properties:
- If
V ⊆ Sis open thenVis uncountable - If
V ⊆ Sis open andB ⊆ Sis uncountable then their intersectionB ∩ Vis also uncountable
If f is a non-constant function, use the fact that ℝ w/ the usual topology is Hausdorff to get two disjoint open neighborhoods.
here is underlying set S?
i got the 1 point but don't get it 2
wait
Nice, I like this more than my argument
why B cap V is uncountable?
say it is countable
then S/ B cap V is open
so it is uncountable
Oki thanks, i see the "over C" now
let f(x) \neq f(y), so there exists disjoint open set U containing f(x) and open set V containing f(y), if f is continuous then f^-1(U) and f^-1(V) is uncountable so by 2 their intersection is non-empty implies it is not disjoint.
correct?
If U and V are disjoint then their pre-images must also be disjoint, which means those preimages can't be open in the co-countable topology.
So f isn't continuous.
Yes but I don't get the 2nd point
I don't understand how B cap V is uncountable
It's because the complement of V is at most countable.
(assuming V is nonempty)
- indeed doesn't hold if V is empty (as usual the empty set ruins everything)
Neither does 1., actually
(this isn't an obstacle in the actual argument, mind you; we're only interested in nonempty open sets)
What do you mean by at most countable?
Finite or countably-infinite (I'm fine just calling such sets "countable", but I wanted to be extra-precise)
Consider the points of B which are not in V
X/B cap V is countable so B cap V needs to be uncountable because X is uncountable, correct?
How can I prove that an isometry is an injection?
say f(x) = f(y)
Now use isometry property
You've got the sets switched, it's X\V that's countable, but the argument is along those lines.
Oh
The points which are in B but not in V are countable
In general, if you have two non-empty subsets A,B ⊆ X then A ⊆ B if and only if A ∩ (X\B) = ∅. That's just a basic fact about sets.
Well, if V is open and B ∩ V = ∅ then B ⊆ X\V, but X\V is countable, so B has to be countable, too.
(Here I'm using "countable" in the broader sense @alpine nest mentioned, meaning "finite or countably infinite".)
So we just need non-empty, right?
If x = y then f(x) = f(y), and if x is not equal to y, then f(x) is not equal to f(y). So f is injective. But is that enough?
No this is the definition of well defined functions
a function is injective f(x) = f(y) implies x = y
But you used contrapositive
But how you showed if x is not equal to y, then f(x) is not equal to f(y)
It is an isometry, so if f(x) = f(y), then the distance is 0 and so is the dictance between x and y, so x = y
but is that enough?
Yes it is correct here you used isometry property d(f(x), f(y) ) = d(x,y)
Yes because it is contrapositive
thank you
@mighty hull sorry to ping, so if X is uncountable and co-countable topology then every open set intersects we just need that to prove that f is constant mapping.
Thank you
Yes, this shows that if f is non-constant then it's not continuous.
And constant maps are always continuous, regardless of topology.
Yes thank you
say we have a mapping defined by coordinate functions into a product space which is indexed by an arbitrary set
if all of those coordinate functions are continuous, is the original function continuous
yes. In fact, a net converges in the product topology if and only if each component converges.
also this isnt really a product topology property per se, product topology is the weak topology generated by the projections, and a function into a space with the weak topology is continuous iff it is continuous in each of the generators
How can I show that every T_3 space is T_2.5 space?
T_3, when (X, T) is regular with the T_1 axiom.
T_2.5, if for any two distinct points x,y in X there are open sets U and V containing x and y respectively such that cl U cap cl V is empty.
Yes T_3 implies space is Hausdorff
take the nbhds from hausdorff, in each of them take nbhd from regularity
If f is a continuous function from X to Y then cl f^-1(A) \subset f^-1(cl A), right?
right
Thank you
initial topology
$f(\overline S) \subseteq \overline {f(S)}$
nastasya
that is equivalent to being continuous
yes it is equivalent to continuous
okay
i am working on your hint
you mean T1?
no it is equivalent to every point set is closed
ok where can i get this concept in munkres
hausdorff is t2, regular is t3, tychonoff is t3.5, normal is t4, hereditarily normal is t5, completely normal is t6
every single set is closed in that topology
yes
what do you mean?
im asking where, whats the name of the T
T1 seems to be the finest
Tn is a classification scheme
what about T0?
do you know what the Tn axioms are?
i was thinking its the same as when every singleton set is open set
T0 is for every pair of points there is an open set containing only one of them
yes
that just means the space is discrete
is that equivalnet to T1
you mean first i take open set U containing x and V containing y such that they are disjoint, then?
no
In topology and related branches of mathematics, a T1 space is a topological space in which, for every pair of distinct points, each has a neighborhood not containing the other point. An R0 space is one in which this holds for every pair of topologically distinguishable points. The properties T1 and R0 are examples of separation axioms.
R with co-finite topology is T1 but not discrete
every metric space is T1 but not every metric space is discrete
ok, i have never come across this Tn fuckery
welcome to the club
i am doing metric space topology so the book doesnt generalise much topological concept
its all throughout non metric topology
idk i like it, except t3.5 i guess, that one i like to use "tychonoff"
thats the first half
Yes but I don't understand what I do after that
metric spaces are in fact perfectly normal
True, although I'd also say that none of the separation properties are as important as T2
The qualitative difference between Hausdorff and non-Hausdorff is huge, and the other ones are more about various degrees of "niceness"
tychonoffness is pretty huge too
at least if you want any of the nice compactifications
What are the important spaces that are Hausdorff but not Tychonoff?
Not being snarky, genuinely curious since I tend to interact with reasonably nice spaces
hmm
A compact Hausdorff space is immediately normal, isn't it?
Which is even stronger than Tychonoff
And locally compact Hausdorff are Tychonoff
yep
yea but if you want a nice compactification then you need to start with a tychonoff space, then compactification will be normal but the space itself doesnt need to be
I'd still say that intuitively the fact that you can separate points and that compact subsets are closed, is more impactful than what you get from the Tychonoff property on its own (which isn't to say that property isn't impactful, I just don't think it's as big of an impact)
As in I'd say there's more theorems that break without Hausdorffness than ones that break without Tychonoffness
true
Fortunately I've almost never had to deal with non-metrizable spaces in practice 
I enjoy general topology but more as a spectator
i guess its just recency bias for me, im reading a book on rings of continuous functions into R and there everything needs to be tychonoff because you deal primarily with zero sets
and tychonoff gives you that zero sets are a closed base
Well yeah, in specific circumstances you will rely on the other Tn's hugely, which is one of the reasons why they're a thing
¯_(ツ)_/¯
good book by the way, everyone should read it
probably the best math textbook ive ever read
What’s the name of the book?
rings of continuous functions by gillman
Yes
For disjoint non-empty closed sets A and B we can construct function x to d(x,A)/(d(x,A) + d(x,B), right? Then it gives the result
looks like urysohn lemma
yes
what is metric space topology
The topology generated by the open balls in the metric space.
See the Basic Notions section on Wikipedia: https://en.wikipedia.org/wiki/Metric_space#Basic_notions
need a source to get bette grip on tietze extension theorem
thanks
how can i show that if X is perfectly normal then for every closed set C there exists continuous function f:X-> [0,1] such that C = f^-1(0)?
X is topological space
i want to prove this, if X is perfectly normal then every closed set of X is G_delta set.
Since X is perfectly normal so for any closed set C, there exists continuous function f:X->[0,1] such that C = f^-1(0) = f^-1(cap [0, 1/n) over n in N) = cap f^-1[0, 1/n) over n in N, since f is continuous therefore f^-1([0, 1/n)) is open.
hence C is G_\delta set, is it correct?
when we talk about the "path components of an open subset U" where U is a subset of a topological space X, are we talking about the path component which intersects it, or the path component which contains it?
or are we talking about the path components contained in U viewed with the subspace topology
difference of topology between $\Bbb{Q}$ and $\Bbb{R} \setminus \Bbb{Q}$
nastasya
what do you mean?
oh im not into these ideas yet, in anyways can i get hint to get into the differences
both are disconnected
i mean those are two topological ideas idk yet
from whatever i know they're quite identical as a set
one is countable other is not so i think if we define T- co-countable topology on both sets they are different
what about cardinality?
what is even that
so R\Q is like R
if that makes any sense
a topology in which complement of open sets is countable with empty set
kind of but co-finite is coaser than co-countable
made a mistake there
yeah right
cardinality is different so they are bound to be drastically different as topological spaces as well
how can i prove a => b and c => a ?
which text is this ?
Topology course, University of Toronto
why is 4 and 5 false?
i would think if you have a connected space, and you take a subset of it, it would be connected. however as I type this I think of an extreme where you take a subset of singletons which wouldnt be connected
take {-1,1}
you can take literally any subset and turn it into a subspace
for 5) Q is not path connected
its not even connected so yeah i saw that as i was typing it
yeah
im a bit slow, i dont get things very fast haha. thank you :=)
Same bro 😎
we in this together
why are those equivalent?
If an open set U intersects every other open set, that set is dense? And density means closure(U) = X right
yes
Notice that the complement of closure(U) is an open set that doesn't intersect U
There are many equivalent characterizations of "dense". Worth proving their equivalence if you haven't.
I never thought about it before about it before but R^2/{(0,0)} is an open set
\
R^2/{(0,0}} = U(x∈R^2/{(0,0)})({|y-x|<=|x|/2)
Why is discord making the 's invisible
is it some sort of formatting thing
well I'll use / I guess then
\ often signifies an escape character
meaning it combines with the next character to make something else
yea so if you write \\ it means "I don't want this \ to cancel something pls put an actual backslash"
lmao
is the weak topology on a space the basis formed by taking the preimages of all open sets in Y (say we only have one continuous map f: X \to Y)
or would that be the sub-base
Is there an uncountable meager set in the cantor space?
Hi, does anyone know if in a topological group the path-connected component of the identity is a closed normal subgroup? (additional assumptions such as compactness are welcome if needed)
if X and Y are top. spaces, and we consider X x Y with the product topology. Why do we need Y to be compact for the projection morphism on X to be closed?
Isn't the cantor set uncountable and meager itself?
It's definitely a normal subgroup, since you can shift and conjugate paths.
Path components are not in general closed, but topological groups are quite rigid, so maybe that holds there...
right, my bad
Hi, I'm with Maikel with the same question. What we want to know most is if the path-connected component of the identity is closed 🙂
Our group is compact, hausdorff and abelian if that helps
Pretty sure as well that like the original thing is an iff
uhh
oh yeah i remember uh
i remember reading the nlab stuff around compactness and trying to get super constructive and frugal proofs of everything lmao
I think maybe this group will be a counter example
https://search.app?link=https%3A%2F%2Fen.m.wikipedia.org%2Fwiki%2FSolenoid_(mathematics)&utm_campaign=aga&utm_source=agsadl1%2Csh%2Fx%2Fgs%2Fm2%2F4
But I'm not quite sure what the path component of the identity is
This page discusses a class of topological groups. For the wrapped loop of wire, see Solenoid.
In mathematics, a solenoid is a compact connected topological space (i.e. a continuum) that may be obtained as the inverse limit of an inverse system of topological groups and continuous homomorphisms
f
...
But if I understand it correctly, you take something like for example the 2-adic numbers, then connect x and x+1 by a path. So the path component will be the integers and the paths between them, and then the closure should be everything.
looks like it could indeed be a counterexample. We were trying to see if the Bohr compactification of R is path-connected... I think it totally should be
Does anyone know an example of an uncountable meager set in the cantor space 2^N? Ive been trying to figure this out for hours
Or a way to show such set exists
I'm trying to show that I with the endpoints identified is homeomorphic to the circle, and I know that if I can show $h: I \to S^1$ given by $x \mapsto e^{2 \pi i x}$ is open or closed then I'm done (since it's a continuous surjection). Any ideas?
okeyokay
can you picture in your head what that would look like
what do the open and closed sets in I look like, and what about their images in S^1
what does the mapping h look like
yeah i can picture what it would look like
but ig i'm trying to rigorize
i saw somewhere that i can use the open mapping theorem
ig that makes sense
altho i'm not too sure if this would work since they define the map on all of R and say that therefore it maps open sets of R to open sets of C
but i don't know if we can restrict and place subspace topology on [0, 1] and assert the same
ah smart man
thank you
true
is this theorem used a lot in practice?
to me it seems like these are all lemmas leading up to this theorem:
hi , I havent done topology yet, but I want to check if I have the intuitive idea.
compactness if when we have like a closed shape , and if we can cover in pieces every subsection of the shape, then there is a theorem I think that shows we can cover the entire shape , it doesnt matter if the shape is infinite.
is this correct? (in the realm of oversimplification)
For a space $(X, \mathcal{T})$ being $T_1$, i.e., for all $x, y\in X$, there exists a nbhd $U$ of $x$ and $V$ of $y$ st $x\notin V$ and $y\notin U$, is it equivalent to replace $U$ and $V$ with closed sets?
Sara
Finite sets are to functions in general as compact sets are to continuous functions.
If you have a finite set S then functions from that set to the real numbers is bounded. They attain a max and min. All sequences in S have a convergent subsequence (which, for a finite set, means a constant subsequence). The image of f is finite.
Replace "function" with "continuous function" and replace "finite" with "compact".
If I have a collection of sets that cover a finite set then there's a finite sub-collection which also covers them.
If I have a collection of open sets that cover a compact set then there is a finite sub-collection which also covers them.
(You can think about functions to sets other than the reals, but you have to introduce slightly more general concepts.)
@vernal gate Compactness is a kind of "second-best alternative" to being finite.
A lot of reasoning that applies to finite sets also applies to compact sets.
I see
(Whereas most reasoning that applies to finite sets doesn't apply to infinite sets in general.)
Yeah I think that's equivalent, since if U is an open set containing x but not y, then X \ U is a closed set containing y but not x
oh duh ty
my bad
It's what characterizes a quotient so yea
"Continuous map out of X/~" = "Continuous map out of X such that f(x) = f(y) if x~y"
no
or nvm
The algebraic numbers are dense in the reals
Yes
Q+ a^{1/n}
does it follows from the fact that Q is already dense
or am i missing something
oh yeah any open ball has a Q so it also has an algebraic
what should be argument for algebraic numbers are countable?
Do you have some ideas for that?
Q is countable then on the top that we are creating n dimensional vector space so its a countable copies of the Q
n is the degree, and let's say more generally we can add k such root
maybe this is a handwavy argument
Ye that needs to be more concrete
does this cover all ov the algebraic stuff or am i still missing out something
k,n \in naturals
There are algebraic numbers that cannot be expressed in terms of n-th roots, like many roots of degree 5 polynomials.
Maybe restrict the scope first - how many algebraic numbers are there from polynomial of degree 5?
and for n degree poly the choices of coeff are from Q so its too countable
(so countable no of n degree poly)(n) = atmost possible root
i never saw it in practice, but i think that quotient map f is also characterized by Y having final topology induced by f
which seems a much nicer thing to check than all maps to all other spaces from Y
set of polynomials P with integer coeff is countable so there exists an injection f from P to N. For any finite polynomial the set of its roots is finite so we have injection f_2 from set of roots to N
now take set M of all pairs (p, r) ordered lexicographically by (f, f_2) where p \in P and r is a root of p and set g(p, r) = (f(p), f_2(r)). g is obviously an injection M -> N x N. Now take an injection h mapping every algebraic number to its first occurence in M. We then have chain of injections (algebraic numbers -> M -> N x N -> N) so we compose them and get an injection into N
sth like that
Is there any criterion to decide if a normed space is compact?
what is your definition of hte boundary
is it the closure - the interior?
if so then unpack the definition
what does it mean to be a limit point?
what does it mean to NOT be an interior point?
oh gotcha thx
this statement is much weaker than you might think btw
because X or whatever you call the space you're working in is itself a neighbourhood of a and contains both A^c and A, so you would just have to show that both A^c and A are nonempty
the more interesting statement is that when a is in the boundary of A ⊆ X, any neighbourhood U of a contains points from both A^c and A
not just one specific one
Hello
Can anyone give me an example of a topology on a set in which the intersection of an infinite number of the subsets isn't in it?
Writing this question I found the answer
The intersection of the neighborhoods of √2 within Q
Thank you very much to Sam for answering
(I'm Sam)
Most of them TBH.
Yeah lol
The intersection of
(0, 1/n) for n natural numbers
That's 0
Wait ni
0 is in none of them
....?
A topology on X contains X and ∅
Yeah, but the intersection of sets is always a set.
Are you asking for intersection of open sets to not be open?
Like the intersection of (-1/n, 1/n) is just {0}
I asked for an infinite intersection of subsets of X which isn't in a topology of X
That doesn't make sense
Wait
If you intersect subsets of X you get a subset of X
Only finite intersections
Proof: R
No
Ok
Intersection just means the set of elements they have in common
Intersection of all neighborhoods of √2 on Q with radii 1/n for all n
Is the empty set
n in N
The definition of a topology concerns open sets.
The intersection of infinitely many open sets need not be open
But its supremum (assuming closed neighborhoods) is in Q
For example the intersection of (-1/n, 1/n) is not open
I know, I have finished Ch 2 of baby rudin
T is the collection of open sets.
So a subcollection of T is some collection of open sets
Oh ok thank you very much
Can a first-countable set (and not second-countable) be separable?
yes
In mathematics, the lower limit topology or right half-open interval topology is a topology defined on
R
{\displaystyle \mathbb {R} }
, the set of real numbers; it is different from the standard topology on
R
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Thx!
is the best way to show that S^n for n >= 1 is path connected to use induction
oh wait nvm i could just normalize in the denominator i think
never mind the denominator would be zero if we used straigh tline
for S^1
damn
would it just be the two hemispheres or something?
project the coordinates onto S^n and then use the fact that S^n is path connected maybe?
ah, two points on S^n + 1 always lie on a homeomorphic copy of S^n
so we can use the path connectedness there
idk how to prove this tho lol
Can you use the result that S^n is a quotient of [0, 1]^n ?
but then i have to show that [0, 1]^n / ~ is path connecte dright
which might be easier, assuming that continuous images of path connected spaces are path connected?
Yep, it's fairly straightforward to prove
oh okay that's actually a lifesaver
but then I guess i would have to show that S^n is the quotient of [0, 1]^n for all n lol
which is hopefully an easier problem
Not sure actually, it might be tricky 🙃 S^1 is relatively easy with the right lemmas, since you can parametrize the circle by its angle, but it might be more difficult for S^n, n > 1
A (metric) space X is said to be connected if the only
sets which are both open and closed in X are \emptyset and the full space X, when X is a metric space
im working with just this definition now
next i was asked to prove the statement of not connected disconnectedness ig)
to which i assume A to be a nonempty subset (open and closed)
nastasya
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nastasya
next question is When is a finite subset of a metric space connected?
\emptyset, {x}
is this all correct ?
(i dont have any grasp on connectedness yet)
how do i get of the notion of metric to talk about connectedness ?
i think i have to solve more problems, but im asking anyways
I don't really understand what your questions are supposed to be
but a topological space is connected if it cannot be written as the disjoint union of two open subsets
you do not need a metric to give a meaning to this
im trying to get rid of metric, but i love this book too much, its all exercise
i need to suffer through munkres ig
It is called an exclusion. Often, these are by definition with regard to sweeping nets.
why is there a notion of pseudometric ?
what do we gain by inferring 0 distance
to create equivalance class for quotienting out ?
there is certain structures where the natural topology on them is induced from a psuedometric rather than a metric, the equivalence class turns them to actual metric spaces (or even better, normed spaces) which are much nicer to work with topologically
sometimes you don't care that points with 0 distance aren't the same, and you are just using the pseudometric to quantify distances in some sense.
every metric space with induced topology is hausdorff, which means we can find disjoint neighbourhoods of any two given points, so if you have more than one point you can just pick two of them and a small enough neighbourhoods so that they don't contain any other points
I think you raise a decent point, namely, that the so called, "Real," numbers aren't actually a field - they are a projective system of quotient spaces under modular reduction. Inferring zero distance only serves to embed paradox in the notational language. In reality, there are at least five different "zero-like," symbols differentiated based upon whether or not existential quantification is observed, acting, but unobserved, unobservable, and each of these acts within a field of numeric energy - topological energy numbers hold that is a priori to their mapping to the real or complex plane.
I need to prove cos(2Pit) is continuous , but I'm kinda lost on how to start. Can someone give me a starting tip ?
I know that if f is continuous then the preimage of an open set must be open. But chosin an open set ]a,b[ in R, how do I show it's pre-image is open?
you should be able to do it with this book: https://s2pnd-matematika.fkip.unpatti.ac.id/wp-content/uploads/2019/03/Elementary-Diffrential-Aquation-and-Boundary-Value-Problem-Boyce-DiPrima.pdf
do you need to actually show that it is continuous by definition?
anyway if you need to show directly, just use the formula for subtracting cosine from cosine
otherwise its just a composition of continuous functions
No I don't think I need to show by definition, just that it's continuous
is a topology generated by dictionary order on R^2 and usual topology on R^2 same? in usual topology on R^2 which is product topology therefore its basis elements are product of two open intervals in R.
but now i am thinking about basis element in topology generated by dictionary order on R^2
No, they are not the same.
how can i show that? does i need to consider an open set and show that it is not in other
Yes, that would suffice.
It's easy. Pick almost any two points and think about what the interval between them looks like in the order topology.
( (1,2), (1,3) ) is open in order topology on R^2
That's true. Now expand the definition.
What does that look like in the plane?
i have to show it is not open in usual plane
just straigth line
Yes, a little line segment with its endpoints missing.
straight spelling mistake i don't know
endpoints means width?
as rectangles are basis elements in usual toplogy
but there is no width
The endpoints of an interval
(a,b) doesn't include its endpoints, a and b
sorry but can you explain more?
Do you know what the endpoints of an interval are? Like on the real line?
yes
Ok...that's all I'm saying.
A is (1,2) and B is (1,3)
The interval between those two points looks like a line segment between those two points, but excluding the those two points.
Are you unsure about whether it's open or not? If you understand what it means to be open in a metric space then you should have an immediate idea of why it can't be open.
It might be a little annoying to prove the details, if you're required to, but the path should be clear.
??
i got it
yeah usual topology is on R^2 is equivalent to max metric space on R^2, so let (1, 2.5) so if i take any open ball around it must contain some points, take open ball of radius r>0, then it must contain ((r+2)/2, 2.5) which is not in given set
I dunno what "max metric space" means, but the metric topology just is the usual topology on R^2.
In any case, yes, that's the idea. Pick any point on the little line segment. Any ball centered at that point contains points in R^2 not on the segment, so it's not open.
i mean d( (x1,y1), (x2, y2) ) = max { | x1-x2|, |y1-y2| }
it was my mistake
That's...well, alright. That feels like pulling out a bazooka to kill a fly.
It's true that all norms on R^2 generate the same topology, but if you can take that for granted then surely you can take for granted the fact that the standard Euclidean metric ball contains contains points not on the line segment.
yes thank you
I think you mean all norms? For example the discrete metric doesn't induce the same topology
Sorry, yes.
$$
\left{\left\langle\partial \theta \times \vec{r}{\infty}\right\rangle \cap\left\langle\partial \vec{x} \times \theta{\infty}\right\rangle\right} \rightarrow$$ $1$
\blue {kevlat}
r u ok
$$H_n(X) = H^{n-k}(X)$$
Moamen
$I(X, Y) = \lim_{n \to \infty} \sum_{p \in X_n \cap Y_n} i(p, X_n, Y_n) \rightarrow 1$
\blue {kevlat}
Hi, I had the following problem: Prove that every n-manifold with boundary can be embeded into an n-manifold (without boundary). I have no idea about how I should approach this question. In the book's deffinition, n-manifolds are T2 and M2. So we can probably use some metrizibality theorem (but I don't know how it can help). So if someone could give me a slight hint or direction, I would appreciate it.
Also, idk if it is a commonly used deffinition, but manifold with boundary refers to topological spaces with manifold properties, but insted of them being locally R^n, we can also let some points be locally n-dimensional half spaces.
whitney's embedding theorem is for 2n though isnt it
Would just gluing the boundary times [0, 1) to it work?
In this example, can someone please explain why what I highlighted is true pls?
A set S is open in R if and only if every point in S is contained in an open ball entirely inside S
zero is in B because its in da box
since the preimage is open, it contains some nbhd of 0
That makes sense. Thx!
can you post something more meaningful
uh, what's the context of you sending these
thanks for the answers, gonna try it.
I think this guy is just a spammer
<@&268886789983436800>
don't post AI stuff in the math channels
seems like metal timed you out, but this is for when you get back ^^
Following up on this example, how can I know if the functions is or not continuous in the uniform topology?
And why can't I use the same argument of the coordinate functions being continuous for the box topology? Is the identity not continuous in the box topo?
f(x) =(x,x,x,x,x,...) from R to R^omega with the box topology is not continuous
Yes I understand that. I just wanted to know where I'm thinking wrong. For a function to be continuous all it's component functions must be continuous, in this case the component functions are all f_n(t) = t . Aren't they all continuous in the box topology?
"For a function to be continuous all it's component functions must be continuous," this is a characteristic of the product topology
the example i gave you is a example that shows that this statement fails in the box topology
Oh ok so it's only for the product topo
yes exactly
thats why its more "prefered"
cuz of this strong theorem
f is continuous iff each component is continuous
infact, it is exactly how the product topology is defined
that is, it has subbasis of inverse image of projections of open sets
ie, it is the weakest topology such that the projections are continuous
so that f is continuosu iff pi_i o f is continuous for all i
Ok I understand now, for some reason I thought that theorem would apply to all topologies on products
it is fine to think so
i think it is exactly why munkres gives u these examples
it is natural to think what u thought
if it wasn't then it wouldn't be a discussion point
to even define the box topology and show ui
etc
it just turns out that it is just wrong
alot of things go wrong with different topologies
f(x) = x is not always continuous if you choose the right topologies
it is cool
So now to show that the func is not continuous in the uniform topology, the only way is to show that indeed the pre-image of an open set in uni topo is open?
I kinda have no clue about how I would do this
you can show that the preimage of an open set need not be open
is that easier in some way than proving it's open?
that is, If i want to know if the function is continuous
i am not following
So the basic question is : is f continuous in the uniform topology?
I'm struggling to understande what the pre-image of V looks like when V is an open set in the uniform topo
Tbh I'm kinda struggling to understand what the pre-image looks like in all the topologies in product spaces
look at a subbasis element
or a basis element
to understand a topology you should see what the basis or the ssubbasis look like
in general
by defintion the product topology has subbasis pi_i^-1(U_i) where U_i is an open set in you ith factor
to go from a subbasis to a basis you consider finite intersections
you also know that pi_i^-1(U_i) is X_1 x X_2 x ... U_i x X_i+1 x ....
once you look at finite intersections of those you get that a basic open set would be a product of open basic open sets finitely many times
so for example in R omega
you would have products of open intervals and then R x R x R x ..
yeah I know what the open sets look like, I don't really know what f^-1 (v) looks like.
So following ur example. An open set in product topo would be V = (U_1,U_2, ... , U_n , R , R , R , ...) . But what does f^-1 (V) look like?
I need to understand what the pre-images look like so I can decide if the functions are continuous or not
well thats up to you to decide
f^-1(something) is the set of x such that f(x) is in something
initial and final topologies my plural beloved
So in this case the pre images would be all the sets in R such that f(t) = (t,t,t,...) are in V = (U_1,U_2, ... , U_n , R , R , R , ...)
does that mean that a set A belongs to the pre-image of f(V) if for i=1,...,n A is in U_i ?
preimages ofw hat
of what
yes
all t such that f(t) are in V
this would be the preiamge of V
yes, f(A) to be contained in V means that every element of f(A) is in U_1 x U_2 x ... U_n x R x R x R ...
So since here we are in R omega each U_i is an open set in R with usual topo. So now A is such that ]a,b[ is in ]a_i , b_i[ . It looks to me then that the pre-image of open sets are open sets, so it's continuous.
if its the box topology then those would be infinite ones
idk how u got that A
A is all elements x such that (x,x,x,x) is in U_1 x U_2 x U_3 ...
so u would want x is in U_1 and U_2 and U_3...
which u would want x is in the intersection of all U_is
now if this were the box topology then this would be an infinite intersection which need not be open
yes I should have written in that way
makes sense
and hence f(x) = (x,x,x,..) is not continuous
thats what munkres is trying to say
thats it
i want u to
as an exercise for yourself
unfold the defintiions and how would a basic open set in the product topology look like
good luck
Thx for the help!
np man
Let $U$ be a Subset of Y, $f: X \to Y$ a continuous function and $U_i$ a open cover of U. Is $f^{-1}[U_i]$ then a open cover of $f^{-1}[U])$?
neuron
I would proof it as follows: if we have $x \in f^{-1}[U])$ then $f(x) \in U$ so for some i $f(x) \in U_i$ and thereby $x \in f^{-1}[U_i])$
neuron
is that proof correct?
well because f is continous all the $f^{-1}[U_i]$ are open so its an open cover
neuron
no u are 
thanks
Let X = (0,1/2) and define topology on X as subspace topology of R.
Let f:X -> R by x -> x^2, then for all x≠y in X d(f(x), f(y) ) < d(x,y) and it is not contraction mapping.
Because if it is then for all x≠y, d(f(x), f(y)) ≤ cd(x,y) for some c in (0,1)
We have, |x+y| ≤ c, for all x,y in X but it is not true.
Is it correct?
yea
Thank you
Is there any other way to prove Uyrsohn lemma than 3 long page proof?
Is that T4 implies disjoint closed subsets are separated by a real function
what defination are you using for T4, yes normal space implies disjoint non empty sets are separated by continuous function
should i go through the long proof?
The idea should be simple though
yes i got the idea little bit
I don't know if it deserves to take up 3 pages
If X is not compact then there is a sequence with no convergent subsequence and {x_n | n in N} is infinite, but how can i say it has no limit point?
are you talking about metric spaces?
because what you are saying is not true, there are non compact spaces that are countably compact
for example omega 1
Yes metric space
having a converging subsequence is the same as having a limit point (in first countable spaces, which metic spaces are)
Why is the circle not homeomorphic to the annulus?
Im trying to understand what the crucial issue/difference is
you mean... a circle in R^2 versus a solid ring in R^2?
Yes but what if there is a convergent sequence by rearranging the elements of {x_n} ?
any rearrangement for a sequence has the same limit points
The size of the set of homotopy equivalence classes between some {a} and a top space Y would be like the number of path-connected components of Y, right?
what
number of path connected components of Y probably would be the rank of the 0th sinuglar homology group
Idk, im just learning this stuff rn
We had an example of “a path is a homotopy” where he did some h: {a} x [0,1] -> Y
where h(a,0) = f(a) = c1
h(a,1) = g(a) = c2
Idk just a weird way of writing a path in Y
So i mean i was thinking then shouldnt f is homotopic to g be when there is a path in Y from f(a) = c1 to g(a) = c2?
So then shouldnt the equivalence classes be the different path connected components of Y?
im not following im sorry
a path is a continuousu function from the interval to the space
with such and such endpoiunts
h is not that
you can have a homotopy of paths
a path is a "homotopy"
homotopy betwen what
im also sleepy so i will let someone else help u out
i gtg
gl
I need some help understanding what the elements of a product look like.
If we interpret the set of functions f : X -> Y as the following product.
Then each x in the product is something of the form x = (f(a_1),f(a_2),...) (so kinda the images for all elements in the domain X if I'm not mistaken)
Now when we take a sequence of functions does x_n = (f_n(a_1),f(a_2),...) ?(again the image for all elements in the domain X but this time the functions is f_n)
To try to simplify I think I could choose f: N -> R and now the elements in the product would look like this:
x = (f(1),f(2),...)
x_n = (f_n(1),f(2),...)
Is this really what the elements look like or am I completely misunderstanding everything?
the elements of a cartesian product are functions, more or less
an element of R x R x R looks like (x, y, z)
but you can interpret this as a function on {1, 2, 3} sending 1 to x, 2 to y, and 3 to z
similarly, an element of R^N is a sequence of real numbers
and we actually define sequences to be functions N -> R assigning a real number to each integer index
Yes and how would an element from a sequence of functions look like, that the thing I can't get my head around.
I think the x examples I gave make sense with what you wrote. What about the x_n's
so if your product is P = 🥧_{x in X} Y
that means an element of P is a particular function f : X -> (union of a family of copies of Y, one for each x in X)
but the codomain in this case is actually just equal to Y
hence every element of P is an ordinary function f : X -> Y, or in other words an element of Y^X
now not every element of a cartesian product looks like a sequence
you have to give up a lot of ideas you take for granted, such as your elements (functions) having an order to their values or having discrete, clearly separated values
So the only thing I really know is that the f_n in a sequence of functions is an element in Pi_{x in X} Y
you know the difference between a function and a function evaluated on an input right?
oh hey I'm blue again and it actually matches my avatar this time 
The actual problem I was trying to solve is a bit more concrete but I wanted to make sure I understand the basics first.
So given the sequence of functions in the image I want to calculate the limit in the product topology. So as n -> infty the function goes to 0 so I guess it sounds like a good ideia to try and prove it converges to 0.
So I guess now I need to show that for any neighbourhood U of 0 there exists and N such that n > N => f_n is in U. Is this correcT?
Since I don't really know how to answer your question, I'd probably say no xD
alright well
a function is a thing that takes inputs in a domain and sends them to outputs in a codomain
an example of this would be f : R -> R defined by f(x) = x^2, sending x in R to x^2 in R
now we think of f as the function, not f(x)
because f(x) implies we've chosen a particular input x, say, x = 5, and we're calculating the value f(x)
working with just f removes this bias
so let's say C(R) is a function space and you consider the product pi_{n in N} C(R)
each element in this product is a mapping (i.e. a function) assigning to each integer n a continuous function f_n : R -> R
That makes sense
Taking a point-set topology course rn, and it seems like a lot of topologies you learn about are really only useful for counter-examples (lower limit topology, finite complement topology, K-topology, etc...). Are most topologies like this, or do students only learn about these niche topologies first b4 moving on to more useful topologies?
Well, if you want to illustrate a counter example you usually want to reach for an example that is easy to construct / demonstrate. So then you might end up with some somewhat arbitrary things.
But I'm not sure I agree that most topologys one usually learns about in such a course are just for counter examples.
Like I'm hoping you learned about, the standard topology on R / metric spaces, the product topology, subspace topology, quotient spaces, discrete and indiscrete topology.
It also wouldn't be unusual to learn about the weak topology or the order topology.
I think most of the topologies that are useful/interesting to an undergrad are actually metric spaces, while the useful non-metrizable topologies like the Zariski topology requires more background knowledge. So some parts of topology may feel kind of useless until you encounter it later on (and of course some mathematicians never need general topology beyond metric spaces)
if i have a pushout square, where the left arrow is the inclusion of a strong neighborhood deformation retract, is the right one also one?
I have to prove that every open subspace and closed subspace of a sequential space is sequential space.
Now if U is closed set in X, where X is sequential space.
Let V\subset U which is sequentially closed in U, then it is also sequentially closed in X, because there is no sequence in V which convergent in X\U, because X\U is open so it does not intersect with V.
Now V = U cap V which is closed in U.
But I have a problem when U is open.
What does it mean by the discrete subgroup of R in the topological sense? Does it mean if we treat that subgroup as subspace of R then it is discrete space
Yes
does anyone know🥲
I was hoping someone could check my proof, especially for the second part because I am not entirely sure what it means by "or they are not comparable"..
"not comparable" means neither is a subset of the other
(which you correctly showed cannot be the case)
I see, thank you
I know an open continuous mapping of a Baire space is a Baire space.
Can the above result help me to show an open subspace of the Baire space is Baire space?
For a set of subsets to be a basis for a topology, do we require that the set is closed under intersection?
I thought that was a requirement to be a basis for a topology. But my topology prof docked points off my hw and he said that “such a property makes it a basis, but not all bases satisfy this”
I think his definition of basis is that: a set of subsets B of X is a basis if, for any open set U in X, U = union of elements in B
I think closure under intersection is slightly too strong, you just need that for any two sets B1 and B2 in the basis there exists a basis set B3 such that B3 \subseteq B1 \cap B2. So you need a set in the intersection, not necessarily the intersection itself
it might also be useful to know that there is a difference between a basis for a topology on X and a basis for the topology on X
For example, {(a, b) | a, b in Q} U {(0, pi)} is a basis for the topology on R, but the intersection (1, 4) \cap (0, pi) = (1, pi) is not in the basis
the former is defined for sets not yet endowed with a topology, while the latter is for sets with topologies
the former is the one you’re talking about in your first message, and the latter is the one referred to in the second message (the prof’s def)
hmm, is there really a difference? Both follow the same rules, namely to generate the topology under unions, right?
one generates a new topology and one generates a specific, given topology
yep, that is my understanding too
Yeah, right, i actually remember that. That was probably the property i was actually thinking of
Does that follow from the definition i gave for a basis for a topology?
For The question on my homework, we had the topology given to us, by defining it as the topology generated by a given subbasis. The question then asked why isnt the subbasis a basis?
I thought it was because the subbasis elements arent closed under intersection, which was not the correct reason i guess
Hello! I am looking for assistance with the structure of a proof I need to write. The problem is as follows:
Let X be a Hausdorff space in which every subspace is compact. Prove that X is finite.
I am considering a proof by contradiction, in which I assume X is infinite, and use some property of the closure of a set containing infinitely many points from X to show that it, in fact, cannot be infinite. But I'm not sure if the logic is right, or what properties I can assume of the set to make such a conclusion.
Thank you in advance for any help!
The definition of compact is what is troubling me, so perhaps I should've started there.
I think so, you want the basis to generate a topology under unions, and for the generated collection of sets to be a topology you need it to be closed under finite intersections. So if every point in the intersection A \cap B is contained in a basis set (which itself is contained in A \cap B), then the union of those basis sets ensures that A \cap B is also open
Yeah, I guess it's not quite correct, since a basis also doesn't have to be closed under intersection
Do you need to prove it like that?, if not I think is easier to prove it directly. In a Hausdorff space every compact subspace is closed, use this to prove that X is discrete, then it follows that X is finite.
i don't need to, i just like making things difficult for myself i guess lol
I will think about it more using your hint
Everyone needs that time to time to feel alive, don’t worry haha
Good luck
okeyokay
Given a locally compact Hausdorff topological group which is a directed union (as a set) of a family of closed subgroups, does it necessarily have the final topology with respect to the inclusions of those subgroups?
Let $X$ be a Hausdorff space in which every subspace is compact. Prove that $X$ is finite.
\begin{proof}
Let $X$ be a Hausdorff space in which every subspace is compact. We want to show that $X$ is finite. Since every subspace $Y$ of $X$ is compact, $Y$ is closed in $X$. The complement of any given $Y$ must be open, and will be contained in $X$. This implies $X$ has the discrete topology, thus making $X$ finite.
\end{proof}
Vic
Yes (and I believe it was mentioned above).
I don't think so.
There are some details missing, but what matters is whether you feel those details are trivial or not. Like, do you know why X having the discrete topology implies that X must be finite?
is it because the discrete topology is the collection of subsets of X, of which there are finitely many?
Not quite. The important assumption here is that X is compact
But yeah, the discrete topology consists of all subsets of X, but that is not enough to show that X is finite
I recommend trying to prove that if X is compact with the discrete topology then X is finite
OH the finite subcover
let $A$ and $B$ be disjoint compact sets, now let fix $a\in A$ since $X$ is Hausdroff space. Now let $b\in B$ then there exist open set $b\in V_{a,b}$ and $a\in U_{a,b}$ and $V_{a,b} \cap U_{a,b} =\emptyset$.
Now $V\subset \bigcup_{b\in B} V_{a,b}$, since $B$ is compact so $V\subset \bigcup_{i=1}^{n_a} V_{a,b_i}$
take $U_{a}= \bigcap_{i=1}^{n_a} U_{a,b_i}$ containing $a$ and $U$ is open set because it is finite intersection of open sets.
Now take $A\subset\bigcup_{a\in A} U_{a}$.
Since $A$ is compact so $A\subset\bigcup_{j=1}^{m} U_{a_j}$
now again take $\bigcap_{k=1}^{m} (\bigcup_{i=1}^{n_{a_{k}}} V_{a_k,b_i})$, it is open set because finite intersection of open sets and each $\bigcup_{i=1}^{n_a_k} V_{a_k,b_i}$ contains $B$.
So let $U = \bigcup_{j=1}^{m} U_{a_j}$ and $V= \bigcap_{k=1}^{m} (\bigcup_{i=1}^{n_{a_{k}}} V_{a_k,b_i})$
we will show that $U \cap V=\emptyset$.
I think the idea is correct?
Notknow🙇
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are you trying stuff in as much \cap and \cup's as you can or what
sorry i don't get it
Can anything be said about the number of connected components of the stone--cech compactification of a discrete (infinite) space?
Is that $\Spec(\prod_\kappa\mathbb F_2)$?
croqueta3385
I think it is the case, but don't quote me here. Maybe you can use this then
maybe this is unnecessarily complicated tho, maybe there is a straightforward way to do it. But now at least it sounds reasonable.
Sorry, I'm quite oblivious when it comes to commutative algebra. I remember the spectrum usually not being Hausdorff, while the Stone--Cech compactification is always Hausdorff
It's totally disconnected - for any two distinct ultrafilters U, V on a set X, there is an A ⊆ X which is one but not the other, and then {ultrafilters containing A}, {ultrafilters not containing A} are disjoint open sets with union bX one of which contains U and the other V.
(More generally, any topological space with a basis of clopen sets is totally disconnected.)
I'm not sure if this can easily be shown from the universal property though.
That Spec is Hausdorff
Yep.
Cool!
so, every prime in that ring is maximal
and thus your answer is the size of Spec prod_kappa F_2. Which yeah is what Raghuram said
Nice, thanks!
well its extremally disconnected
each point is its own connected component
the cardinality of \beta D(\kappa) is 2^2^kappa
"extremally" very strange word
it really is
i was reading it as extremely for like a year
\beta D(\kappa) is just a weird space in general
discrete space of cardinality \kappa
for example every infinite closed subspace of \beta N contains a copy of \beta N
btw, do we know the size of beta(kappa)?
I defined f: A -> R : x -> p(x, X-U)
then since this is continous it gets its minimum and distances are positive.
Yes, it's 2^2^kappa if kappa is infinite, and kappa if finite
its pretty easy to prove too
well. i guess easy-ish
by Hewitt-Marczewski-Pondiczery, the space [0; 1]^2^\kappa has a dense subset A of cardinality \kappa. take an arbitrary surjective function f from D(\kappa) to A. then the function f: D(\kappa) -> [0; 1]^2^\kappa has a continuous extension to g: \beta D(\kappa) -> [0; 1]^2^\kappa (g is necessarily surjective), so cardinality of \beta D(\kappa) is at least | [0; 1]^2^\kappa | = 2^2^\kappa
and it cant be more than 2^2^\kappa because the density = \kappa is too small to allow more points
its just corollary of Hausdorffness or regularity or something
If f is continuous and h is continuous, is a composition like h(f(x),t) continuous?
Assuming all the maps make sense
Ty!
How do you guys think of continuity? What is continuity?
Could you think of it simply as, the right condition to impose on functions so that topological properties are preserved ?
Smth like that?
I think that at some point u gotta abandon any traditional notions of continuity and just get down to the abstract definitions.
Especially as you look at rlly abstract topologies that aren't equivalent to the standard topology
I think of it as you can get arbitrarily close to the functions value at $x_0$ by evaluating it at points near $x_0$
L
so it's a quantitative thing at the core
The notion of closeness becomes pretty weird in other topologies though. Take the finite complement topology for example.
In fact, if your space isn't metrizable, you don't even really have a notion of closeness
The only spaces I've had to deal with (other than the space of distributions) were ones whose topology was defined by seminorms or by a metric.
Mmmm I getcha
Even the product topology, although not always metrizable, is determined by seminorms (assuming the factors are all normed vector spaces).
I thought the product topology was metrizable? You can just take the uniform metric right? Unless you're including the box topology
Or I guess if you have a product of non-metrizable spaces
The uniform metric gives uniform convergence, not pointwise convergence (which is what the product topology gives) unless it's a finite product.
It is true that a countable product of metric spaces is metrisable (one valid metric looks like ∑_n 2^{-n} d_n/(1+d_n)), but an uncountable product (assuming each factor has more than one point) is not (it's not even first-countable).
definition-wise, i think the most illustrative one is f(cl(A)) \subseteq cl(f(A))
here i have to encounter the problem, Suppose that (X, d) and (Y, p) are metric spaces, that f_n: X-> Y is continuous for each n, and that ( f_n ) converges pointwise to f on X. If there exists a sequence (x_n) in X such that x_n -> x in X but f_n(x_n) does not converges to f(x), show that ( f_n ) does not converge uniformly to f on X.
here, my doubt is they used f_n(x_n) does not converge to f(x), is that mean f_1(x1), f_2(x2),... this sequence does not converge to f(x)?
and i think we can take a help of contradiction, if it is uniformly continuous then f is continuous, but i have a doubt in f_n(x_n) notation
well if they did converge uniformly, then the sequence would converge to f(x)
yes that i have to prove
just take n where d(f, f_n) < \epsilon and look at f_n
all the functions after the nth are different from f_n by no more than 2\epsilon
yes triangle inequality
that should be enough for what you claiming, you just need to move some epsilons around
how?
im busy atm, if you still want some help in a couple of hours and ill write it out explicitly
okay fine
actually i searched on mse but it don't use d( f_n, f_m ) < 2\epsilon, now i am interested in your way
RealTek
so im not really sure how to show this is surjective.
with B) theres gotta be some connection to compactness and every cover having a finite subcover.
I dont know what a covering map is honestly, but its prob related to the 3 big names of the question.. I can look more into it myself.
whats an approach to A?
Y-f(X) is empty since every point of f(x) maps to Y, thus f(X) = Y?
since Y is connected and the only seperation of Y is the entire space and the empty set?
because if this wasnt so then its a contradiction since Y is compact, it means its closed and its compliment would be open, not clopen. which would violate the connectedness
anyways ping me if you can help
f is continuous so f(X) is closed since Y is Hausdorff and X is compact. Try and also show it is open. It then follows since Y is connected
is what what i said above?
I’m not entirely certain what you were getting at
what im saying is this. This is compact so Y-F(X) is gonna be open if its non empty. If that occurs then theres a seperation of Y. Which contradicts connectivity. Thus Y -F(X) has to be empty, so F(X) = Y
yeah as long as you show f(X) is clopen that’s how it would go
well if a set is connected, which X is, then the only clopen set is X and the empty set. its a requirment to even be connected.
Let A and B closed subsets of R then I have to find an example such that A + B is not closed.
Idea: Both must have to be unbounded because if one of them is bounded say A then A is compact then A + B is closed.
I have been trying for the last two hours, I tried different examples such that N and {n+ 1/k | n,k in N}
But I don't get a solution, I am not interested in the solution.
I am interested in the thinking process.
And also I am thinking, are there any closed sets A and B of R such that R\( A + B ) is non-empty finite because R\( A + B ) is open and if it is non-empty finite then it cannot be closed because R is connected
what does A + B mean
symmetric difference?
looks like minkowski sum
Sorry, A + B = {a + b, a in A and b in B }
Let (A_k) be a sequential of invertible matrices in M(n, R) converging to an A in M(n, R). Is it necessary that A is invertible?
I think no
Take n = 2, A_k = [ 1/k 0, 0 1/k ] then det(A_k) = 1/k^2 and A_k converges to [0 0, 0 0 ], right?
yeah
or note that the set of invertible matrices is the preimage of the determinant map of <0 and >0
nvm
Yes but that's why I took the matrices which determinant goes to 0
🤛
I forget to mention a metric space on M(n, R) but it is equivalent to Euclidean metric on R^(n^2)
would S^2 be the quotient of I x I / {(1, 1), (0, 1), (1, 0), (0, 0)} then
and in general would we just identify all points which have each coordinate either 0 or 1
Not that it matters but I just tried this and you end up having to glue the sides in the process
lmao i just tried this before ur message and convinced myself it was 😂
oops
THERE'S GOTTA BE AN EASIER WAY TO SHOW THAT S^N IS PATH CONNECTED
yeah but i'm having trouble seeing S^n as the union of two path-connected spaces with non-empty intersection
but isn't that like the same problem, bc then I have to show hemispheres are path connected
oh
wait holup
the top hemisphere would be just the points in S^n whose coordinates are all nonnegative right
i think they would be homeomorphic each to I^n+1, since we could just take a point and normalize it
nvm I^n
intuitively we can bend the top hemisphere of S^1 into a straight line
and the top hemisphere of S^n into a square
just flatten them both
nvm lol
ah u right
i'll try that, thank you
didn't even think of that 😂
yeah i'll try it if i can show this
this problem has been kicking my ass
$$f: [0,1] \to \Bbb{R}^2$$
[0,1] is connected, so $\forall$ continuous $f, f([0,1])$ is connected.
\ \
if we are trying to connect two separated branches($x<0, x>0$) of any hyperbola of the form $x^2 -y^2 = r$
\ \
$f([0,1])$ will have to intersect $y$ aixs (IVT)
but the hyperbola doesn't contain $x=0$ so no such $f$ can exists. so....
is this enough to show the thingy is not path connected ?
nastasya
I went to the compact connected 1-manifold store and all they sold was circles!🤬
Consider B[0, 1], the closed unit ball in C[0, 1] under the sup norm. Show that it is not compact.
Because there is a sequence which has no convergent subsequence, f_n(x) = nx, works right?
that isn't in the unit ball
Oh right
I misread the question
I thought, the question was about to show C[0,1] is not a compact space
f_n(x) = nx/ (1 + n^2 x^2 ) , works? It is pointwise convergent but not uniformly therefore it is not convergent in C[0, 1]. But yes we still need to show it has no convergent subsequence
yes
I think for the same reason we pick any subsequence it is still pointwise convergent to 0 but not uniformly convergent
yes
Thank you
Intuition
Any two points in R^n \ 0 can be joined by a path avoiding 0
Now divide that path by its norm
Hey is anyone familiar with Perron Frobenius theorem and eigen values?
I know some about it, post your question in #linear-algebra though
assuming it's about applying it, if it's about a proof of it using a fixed point theorem it might be fine here
bro uses \mathbb{N} for N
\mathbb{N} supremacy
My brain hurts from it lol
cursed notation fr
Bro u cant be fr
Another way: any two points lie in a 2-dimensional linear subspace (it's just their span unless they're antipodal), homeomorphic to ℝ^2 such that the intersection of S^n with it is the unit circle (under the homeomorphism, if you like). So the problem is reduced to the case of S^1.
That answer has been given...
Hey, could anyone help me with proving that $d(x,y) = \sum_{n=1}^{\infty} \frac{|x_n-y_n|}{2^n}$ is a metric on Hilbert’s cube? Ive been stuck on this, I have some kind of solution but I dont understand it at all.
imobump
the hilberts cube is like product [0,1] right?
yes
correct
so im assuming your having trouble with the triangle inequality
but i want u to observe that |x_n-y_n| <= 2
literally
ahh damn it ive done it again
done what
i asked the wrong question
u wanna show its complete?
i actually meant to ask how to prove that topology generated by this metric is equal to product topology on Hilberts cube
well to do this its kinda systematic but just has details
you know if you have T and T' topologies on a space
T' is finer than T iff for every basis element of T, call it B, and for every point in that B you can find B', basis in T'' such that B' is a subset of B
so you do it bothwise to show that T = T'
this is lemma 13.2 in munkres iirc
and just can be easy to prove
the details are going to be mainly which epislon to choose
so u should know what a basis element looks like in both cases ( the metric top and the product top )
work it out
i think ive tried doing something similar
I got a set U from the product space basis and tried to show that for each x in U you can fit in an open ball
But its extremely confusing because I cant imagine the balls
yes you can do that
the only thing you need to do is just
workout the epislon
you need
(the radius of that ball)
so that it fits inside
you know that this set U in the product space is equal to only finitely many open sets in [0,1] and then [0,1] x [0,1] x ...
these are open sets and hence you can fit an interval intersec [0,1] in there
ie you can fit an epislon interval
hilbert cube is [0, 1] x [0, 1/2] x [0, 1/3] x ... tho?
take the minmimum of these epislons
yeah that
ok ig it doesn't matter
lmao
oh teacher lied to me then
no ur rihgt
but I meant [0,1]^inf
its whatever
now which epislon should you take?
intuition just says you take the minimum of these epislons to that your guranteed ur in every open set
its so confusing
I dont usually have problems with understanding those 'complex' topics
But Im lost this time. At least now I have some direction to go
So thanks a lot
So if $\mathcal{U} = [0,1] \times [0,1] \times \mathcal{U}_1 \times ... \times \mathcal{U}_k \times [0, 1] \times ...$ can I assume that any 'part' of the ball will fit inside the $[0, 1]$'s? Since $y \in [0, 1]^\mathbb{N}$
imobump
I dont really know how to phrase what I mean, but basically I think that the ball consists of intervals/points/whatevers in each of the sets of which the product is made of
So I wanted to only focus on the U_1, ... U_k
yes
Why is a topological space defined as it is?
because it simplifies all the proofs while still generalizing the properties of a metric space well enough
can you make your question more precise?
as in, why this generalisation as opposed to any other
why require e.g. arbitrary unions instead of just countable unions
thats a hard questiona
it took a while to get down to how to define a topology
there was topology b4 the definition of a topology
like for example there was a time where a topology meant a hausdorff space
The sort of most correct but not very satisfying answer is that it turns out those are the properties that work
and then kuratwoski did something too aswell
yeah basically think of it as you are doing a problem that involvles finding a counterexample
u start with something intuitive, it doesn't work
you keep cooking untill you get the finished product
and by finished product they meant it in the sense Nope said
you wanted to generalize ideas from analysis
they had a whole classification of surfaces b4 knowing what a top space is
analysis situs was 1898

