Gδ set in normal space problem

Click For Summary
SUMMARY

The discussion centers on the theorem stating that for a normal space X, a set A is a closed Gδ set if and only if there exists a continuous function f: X → [0, 1] such that f(x) = 0 for x in A and f(x) > 0 for x not in A. Participants explore the proof structure, including the use of the Urysohn lemma and the properties of closed sets in normal spaces. Key points include the necessity of demonstrating that A equals the countable intersection of open neighborhoods and the implications of continuity in defining the function f.

PREREQUISITES
  • Understanding of normal spaces in topology
  • Familiarity with Gδ sets and their properties
  • Knowledge of the Urysohn lemma
  • Concept of continuous functions and their implications in topology
NEXT STEPS
  • Study the Urysohn lemma and its applications in topology
  • Learn about the properties of Gδ sets in various topological spaces
  • Explore the concept of normal spaces and their significance in topology
  • Investigate the relationship between continuity and closed sets in topological spaces
USEFUL FOR

Mathematicians, particularly those specializing in topology, students studying advanced topology concepts, and anyone interested in the properties of continuous functions and their applications in normal spaces.

  • #31
micromass said:
Umm, the Weierstrass-M-test didn't work?? You might want to rethink that :smile:

Well, perhaps my resources were a bit bad.

I hate to mention it, but I looked on wikipedia, too :)

http://en.wikipedia.org/wiki/Weierstrass_M-test

according to this, my constant Mn = 1, for every n and x, right? And the series of "1's" does not converge.

Now that I look at Kurepa's analysis book, I find a more sophisticated formulation. Briefly, it says that if every member fk of a series of functions is less (by absolute value) than the corresponding member of a convergent series of positive numbers, then the series of functions fk converges uniformly.

Actually, this is something I need, since I introduced the power series..Hm.
 
Physics news on Phys.org
  • #32
Yes, but in this case you have to find a Mn such that |2^{-n}f_n(x)|\leq M_n. Your series is

\sum{2^{-n}f_n(x)}

isn't it? If the series were

\sum{f_n(x)}

then I'd agree with you. But you've added the 2^{-n}...
 
  • #33
micromass said:
Yes, but in this case you have to find a Mn such that |2^{-n}f_n(x)|\leq M_n. Your series is

\sum{2^{-n}f_n(x)}

isn't it? If the series were

\sum{f_n(x)}

then I'd agree with you. But you've added the 2^{-n}...

This is exactly what I was talking about - lack of concentration :)

In this case, it's simple - we end up with a series 1/2, 1/4, etc. i.e. the series of powers of 2, which converges, right?
 
  • #34
Yes, that is correct! You've actually solved this problem, I'm amazed :smile: I actually teach topology to a class of undergraduates and I don't think any of them would have found this proof. I think you're a very good mathematician :approve:



That said, I want to make some remarks:

- another way to make one function out of the fn, is by taking the supremum. Thus f(x)=\sup_{n\in \mathbb{N}}{f_n(x)}. But showing continuity is (imo) a a little more tedious then with the series.

- a foreshadowing for later: you will use the same technique in the proof of the Tietze extension theorem. But there, the construction of the right series will be a bit more difficult.
 
  • #35
wow, thanks a lot!

I'll post the whole solution tomorrow. Right now, I can't think of anything anymore, but I'll look at the alternative proof tomorrow, too. :)
 
  • #36
Hmm, forget about my alternative "proof". It obviously doesn't work. I guess it's getting late for me to :smile:
 
  • #37
Here, for convenience, I'll just sum up the sketch of the proof of the other direction.

<==

Let A be a closed Gδ set in X, so it equals a countable intersection of open sets in X. For any positive integer m, define Am = \cap_{i=1}^m A_{i}. Further on, for any positive integer m, apply the Urysohn lemma to the disjoint closed sets A and X\Am in order to obtain a continuous function fm such that fm(A) = 0 and fm(X\Am) = 1. So, we obtain a sequence of continuous functions {fm}.

Now, for every positive integer m, define Sm = {x in Am\A : fm(x) = 0}. Then fm^-1({0}) = A U Sm\subseteqAm, for every m. Now, \cap_{m}(A U Sm) = A U (\cap_{m}Sm) = A, which implies \cap_{m}Sm = \emptyset. So, for any x in X, there exists some positive integer m such that fm(x)\neq0. This motivates the following definition:

Define h(x) = \sum_{k=1}^{\infty}\frac{1}{2^k}f_{k}(x). It is easily checked that for any x in A, h(x) = 0, and for any x in X\A, h(x) > 0. Also, one can show that this series converges uniformly, and that its sum (i.e. h(x)) is a continuous function.
 
  • #38
Looks good!
 
  • #39
OK, thanks again for a great guideance!
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
2K
Replies
18
Views
2K
Replies
12
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
Replies
20
Views
4K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
2
Views
2K
Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K