Limit in closure, topology stuff

The use of the same epsilon in the intersections doesn't seem to affect the final topology, however....why the same epsilon does not matter.(edit 1)But this was probably a useless remark......but this remark is not useless.
  • #1
jostpuur
2,116
19
Let [itex]A\subset X[/itex] be a subset of some topological space. If [itex]x\in\overline{A}\backslash A[/itex], does there exist a sequence [itex]x_n\in A[/itex] so that [itex]x_n\to x[/itex]?

In fact I already believe, that such sequence does not exist in general, but I'm just making sure. Is there any standard counter examples? I haven't seen any.

If the point x has a countable local basis, that means a set [itex]\{U_n\in\mathcal{T}\;|\;n\in\mathbb{N}\}[/itex] so that [itex]x\in U_n[/itex] for all n, that for all environments U of x, there exists some [itex]U_n\subset U[/itex], then the sequence [itex]x_n[/itex] is simple to construct.

I guess that the existence of the countable local basis is a nontrivial matter, and since the sequence comes so naturally with it, it seems natural to assume that the sequence would not exist without the countable local basis. But what kind of topological spaces don't have countable local basis for each point? And what would be an example of a point in closure, that cannot be approached by some sequence?
 
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  • #2
Let your underlying set of X consist of all countable ordinal numbers, as well as the first uncountable ordinal number. Let the topology on X be the order topology: a basis is the set of open intervals.

Let S be the subspace of countable ordinals.

Warmup exercise: Let T be the subspace of finite ordinals. Prove that the first infinite ordinal is in the closure of T.

Exercise 1: prove that any countable collection of ordinal numbers has a supremum.
Exercise 2: prove that any countable subset of S has a supremum in S.
Exercise 3: prove that the closure of S is X.
Exercise 4: conclude that this is a counterexample.



The usual set of hyperreals makes another good counterexample; I believe in that set with its order topology, countably infinite sequences converge if and only if they are eventually constant.
 
  • #3
Take [itex]\bar{S}_\Omega = [0, \omega_1][/itex], the one-point compactification of the ordinal space of the section by the first uncountable ordinal [itex]\omega_1[/itex]. Then [itex]\overline{[0, \omega_1)} = \bar{S}_\Omega[/itex] but [itex]\omega_1 \in \bar{S}_\Omega \backslash [0, \omega_1)[/itex] is not the limit of any sequence out of [itex][0, \omega_1)[/itex].

Edit:
Too late. :-p
 
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  • #4
Hurkyl said:
Let your underlying set of X consist of all countable ordinal numbers, as well as the first uncountable ordinal number. Let the topology on X be the order topology: a basis is the set of open intervals.

What are the open intervals in X?
 
  • #5
(a,b) = {x : a<x<b}, where < is the ordinal ordering.

For instance (1,2) is empty, (1,3)={2}, (1, w) = {2,3,...} (w is the first infinite ordinal), and so on.
 
  • #6
And the rays:

L_a = { x : x < a }
R_a = { x : x > a }

I suppose the rays are enough to define a basis, since each interval with two endpoints is the intersection of two rays.
 
  • #7
Alternatively, let X be the set of functions R->R with the topology of pointwise convergence. Let A be those functions that are 0 except on a countable subset. Then A is sequentially closed, but its closure is all of X.
 
  • #8
I believe I understood the ordinal example.

gel said:
Alternatively, let X be the set of functions R->R with the topology of pointwise convergence.

I have difficulty seeing what precisely the open sets would be in this topology. I mean I understand what's the desired property of the topology: [itex]f_n\to f[/itex] in the topology [itex]\Leftrightarrow[/itex] [itex]f_n\to f[/itex] pointwisely, but I don't see how such topology exists.
 
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  • #9
Wikipedia has a page on the topology http://en.wikipedia.org/wiki/Pointwise_convergence" , although they don't explicitly describe the open sets.

I'm not sure what the simplest description of the open sets is, but a basis for the topology can be defined as follows. Given any [tex]f:\Re\rightarrow\Re[/tex], finite [tex]S\subset\Re[/tex] and any [tex]\epsilon>0[/tex] let [tex]U(f,S,\epsilon)=\left\{g\in X:|g(x)-f(x)|<\epsilon\ \forall x\in S\right\}[/tex]. Such sets form a basis for the topology.

For any fixed f, these sets form a basis for the neighbourhoods of f. There is no countable basis because there are uncountably many finite subsets [tex]S\subset\Re[/tex].
 
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  • #10
Isn't that the topology for uniform convergence? Your wiki link says that the topology for pointwise convergence is the product topology -- each element of R gets its own epsilon.
 
  • #11
Hurkyl said:
Isn't that the topology for uniform convergence?
No. It would be a basis for uniform convergence if I hadn't restricted S to be finite (putting S=R gives a basis for uniform convergence).
Letting each element of S have its own epsilon will also work. It will be a bigger basis than the one I mentioned but it gives the same topology.

btw, an alternative basis is given by the sets of the form [tex]\left\{h\in X: f(x)<h(x)<g(x)\ \forall x\in S\right\}[/tex] for all finite [tex]S\subset\Re[/tex] and [tex]f,g\in X[/tex].
 
  • #12
I see. In the product topology the subbasis would be given by sets

[tex]
U(f,x,\epsilon) = \{g\in X\;:\; |f(x)-g(x)|<\epsilon\},
[/tex]

and the basis consists of finite intersections of these.

(edit 1)

But this was probably a useless remark...

The use of the same epsilon in the intersections doesn't seem to affect the final topology, however.

(edit 2)

Or no! Does it?! I'll not say anything to it now.

(edit 3)

Some quick thinking gave me this:
Even if the same epsilon is used in the intersections, when defining the basis, we can in the end write precisely the same open sets by using different functions f. If

[tex]
U = \bigcap_{i\in I} U(f, x_i, \epsilon_i)
[/tex]

then there exists some functions, sets S and epsilons so that

[tex]
U = \bigcup_{k\in K} U(f_k, S_k, \epsilon_k)
[/tex]

where each set S had only one epsilon attached to it. (The sets [itex]I[/itex] and [itex]S_k[/itex] are finite.)
 
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  • #13
jostpuur said:
I see. In the product topology the subbasis would be given by sets

[tex]
U(f,x,\epsilon) = \{g\in X\;:\; |f(x)-g(x)|<\epsilon\},
[/tex]

and the basis consists of finite intersections of these.

Yes, that's exactly it.
 
  • #14
jostpuur said:
The use of the same epsilon in the intersections doesn't seem to affect the final topology, however. Or no! Does it?! I'll not say anything to it now.

The set [tex]U(f,x,\epsilon)[/tex] can be written as a union of such sets with any smaller epsilon, so you can always take the minimum of the finite set of different epsilons and use that in the intersection instead.
 

FAQ: Limit in closure, topology stuff

What is a limit in closure?

A limit in closure is a concept in topology that refers to the set of all points that are either in a given set or are arbitrarily close to the set. It is denoted by the symbol "cl".

How is limit in closure different from limit in a metric space?

While both concepts involve the idea of "closeness", a limit in closure is defined within a topological space, while a limit in a metric space is defined within a metric space. In other words, a limit in closure only considers the topological structure of a set, while a limit in a metric space takes into account the distance between points.

Can you give an example of a set and its limit in closure?

One example is the set of rational numbers (Q) in the real number line. The limit in closure of Q is the set of all real numbers (R), as any real number can be approximated by a sequence of rational numbers that get closer and closer to it.

How is limit in closure related to closure of a set?

The closure of a set is a subset of its limit in closure. In other words, the closure of a set includes all the points in the set itself, as well as the points that are arbitrarily close to the set.

Why is the concept of limit in closure important in topology?

Limit in closure is important in topology because it helps define concepts such as continuity and connectedness, which are fundamental in understanding the properties of topological spaces. It also allows for more flexibility in defining limits, as it does not rely on a specific distance metric.

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