Uniform Convergence Homework: Solution Check

Click For Summary

Homework Help Overview

The discussion revolves around the concept of uniform convergence in the context of a specific function sequence. The original poster attempts to apply the Cauchy criterion for uniform convergence but faces challenges in their reasoning and assumptions regarding the parameters involved.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants question the choice and definition of the variable N, its implications in the proof, and the conditions under which the theorem holds. There are discussions about the necessity of using the condition g(0) = 0 and its relevance to the proof's validity.

Discussion Status

Several participants have pointed out potential flaws in the original proof, particularly regarding the treatment of N and the assumptions made about the function g. There is ongoing exploration of how to correctly apply the definitions and conditions for uniform convergence, with hints provided for further clarification.

Contextual Notes

Participants note that the original proof does not adequately utilize the condition g(0) = 0, which is crucial for the argument. The discussion also highlights the importance of maintaining consistent definitions for N throughout the proof process.

dirk_mec1
Messages
755
Reaction score
13

Homework Statement


http://img384.imageshack.us/img384/1643/60357312ro9.png

Homework Equations



http://img440.imageshack.us/img440/1935/11582858vp9.png

The Attempt at a Solution


I didn't know if I had to use the definition of uniform convergence or its Cauchy variant but I choose the Cauchy variant. Moreover not all relevant equations need to be used I've put equations there which might be useful.

It not difficult to verify that the pointwise limit heads to zero. Now there holds with n > m > N:

[tex]|f_n - f_m | = |g(t)| |(1-t)^n - (1-t)^m| \leq ||g||_{\infty} |(1-t^n|) \leq M \cdot (1-t)^n \leq M \cdot (1-t)^N \leq M \cdot N \leq (M+1) \cdot N[/tex]

with [tex]M = | |g||_{\infty}[/tex]Choose [tex]N = \frac{ \epsilon }{ M+1}[/tex]

So it is uniform convergent.

Is this correct?
 
Last edited by a moderator:
Physics news on Phys.org
What is N? It just appeared as a power, and then a logarithm swept through while no one was looking and pulled it down to multiply with M... If N can be whatever the hell it wants to be, then for small N (1-t)N is certainly larger than N. It looks like you wanted N to be s.t. n,m>N implies |fn - fm| but in that case you most certainly don't get to pick what N is
 
There's quite a lot wrong with that 'proof'. But the most important fact is that the theorem is untrue if g(0) is not equal to zero. And you never even used that.
 
Office_Shredder said:
What is N?
N is an natural number.

It just appeared as a power, and then a logarithm swept through while no one was looking and pulled it down to multiply with M... If N can be whatever the hell it wants to be, then for small N (1-t)N is certainly larger than N.
Nooo, because [tex](1-t)\leq 1[/tex] for all t in [0,1]. Then certainly [tex](1-t)^N \leq 1 \leq N[/tex] since N is a natural number.

It looks like you wanted N to be s.t. n,m>N implies |fn - fm| but in that case you most certainly don't get to pick what N is
Why is that?

Dick said:
There's quite a lot wrong with that 'proof'.
Ok I'll try to explain my steps below.

But the most important fact is that the theorem is untrue if g(0) is not equal to zero. And you never even used that.
Well g(0)=0 in this exercise so why even consider that?I presume these steps are clear (take n<m)

[tex]|f_n - f_m | = |g(t)| |(1-t)^n - (1-t)^m| \leq ||g||_{\infty} |(1-t)^n|[/tex]I call M the sup of G: [tex]M=||g||_{\infty}[/tex][tex]||g||_{\infty} |(1-t)^n| = M \cdot (1-t)^n \leq M \cdot (1-t)^N[/tex]

n is natural number larger than N then this must be true because I only look at the (1-t)^n part this is smaller than (1-t)^N. ( take for example: (1/2)^6 < (1/2)^3 )I explained this step above

[tex]\leq M \cdot N[/tex]

I have to take into consideration that g=0 => M=0 so I add one up then this is still true, right?

[tex]\leq (M+1) \cdot N[/tex]
 
dirk_mec1 said:
Well g(0)=0 in this exercise so why even consider that?

!? That's an amazing attitude to take towards a theorem premise! :)
 
So N is just a random natural number. But then your last step is

[tex] N = \frac{ \epsilon }{ M+1} [/tex]

M is fixed. I can give you epsilon small enough that N<1.

Furthermore, M=/=0. For example, if g(x) = x, M=1. Just because g(0)=0 doesn't mean g is identically 0
 
You might also notice that at t=0, (1-t)^n=1. That's going to make it difficult for a bound like M*|(1-t)^n| to make anything 'small'.
 
Dick said:
!? That's an amazing attitude to take towards a theorem premise! :)
I still don't understand what your point is.

Office_Shredder said:
So N is just a random natural number. But then your last step is
M is fixed. I can give you epsilon small enough that N<1.
I just want to use the definition a Cauchy sequence with a n,m>N ( but N should then be real right?)

Furthermore, M=/=0. For example, if g(x) = x, M=1. Just because g(0)=0 doesn't mean g is identically 0
Where do you get the idea that I presume g=0? I take into account that it might be zero.

Dick said:
You might also notice that at t=0, (1-t)^n=1. That's going to make it difficult for a bound like M*|(1-t)^n| to make anything 'small'.

Yes you're right... but can you please tell me where my reasoning in my proof is wrong?
 
We just pointed out like 5.

I just want to use the definition a Cauchy sequence with a n,m>N ( but N should then be real right?)

Just intuitively, this is for large N, and hence won't be satisfied for small N. If you pick N to satisfy the Cauchy condition, you don't get to later redefine N to be smaller than epsilon, because N will no longer satisfy the Cauchy condition.

You have to use the fact that g(0) = 0, so g(t)*(1-t)n = 0 when t is zero, which gets rid of the problem of 1-t = 1 at t=0. This was Dick's point... g(0)=0 wasn't just thrown in there for laughs, whoever wrote the question was smart enough to realize it was a necessary condition for the conclusion to be true, and hence if your proof doesn't utilize the fact that g(0)=0, you should be thinking in the back of your mind that your proof isn't a very good one
 
  • #10
Office_Shredder said:
We just pointed out like 5.
Just intuitively, this is for large N, and hence won't be satisfied for small N. If you pick N to satisfy the Cauchy condition, you don't get to later redefine N to be smaller than epsilon, because N will no longer satisfy the Cauchy condition.

You have to use the fact that g(0) = 0, so g(t)*(1-t)n = 0 when t is zero, which gets rid of the problem of 1-t = 1 at t=0. This was Dick's point... g(0)=0 wasn't just thrown in there for laughs, whoever wrote the question was smart enough to realize it was a necessary condition for the conclusion to be true, and hence if your proof doesn't utilize the fact that g(0)=0, you should be thinking in the back of your mind that your proof isn't a very good one

But I said that the pointwise limit is tending to zero. Which utilizes the fact that g(0) =0

because if [tex]n \rightarrow \infty[/tex] then [tex]g(t)(1-t)^n \rightarrow 0[/tex] for t in (0,1] but for t=0 it is also zero hence the pointwise limit is zero, do you get what I mean?

As for the cauchy sequence I just determined the N for the difference becomes smaller than epsilon I'm not redefing anything. But I presume you know this better than me so at what point is the proof wrong?
 
  • #11
dirk_mec1 said:
But I said that the pointwise limit is tending to zero. Which utilizes the fact that g(0) =0

because if [tex]n \rightarrow \infty[/tex] then [tex]g(t)(1-t)^n \rightarrow 0[/tex] for t in (0,1] but for t=0 it is also zero hence the pointwise limit is zero, do you get what I mean?

As for the cauchy sequence I just determined the N for the difference becomes smaller than epsilon I'm not redefing anything. But I presume you know this better than me so at what point is the proof wrong?

Yes, you've got that the pointwise limit is zero. And that uses g(0)=0. Now you just have to show that it goes uniformly to zero. I.e. there is an N such that |f_n(x)|<epsilon for all n>N. I'll give a hint. Use that g(x) is continuous at zero to make sure |f_n(x)|<epsilon for x in [0,a] for some small value of a>0. Now find an N such that |f_n(x)|<epsilon on [a,1] for n>N. (Use that |g(x)| is bounded, like you did).
 
Last edited:
  • #12
But I said that the pointwise limit is tending to zero. Which utilizes the fact that g(0) =0

So mention that in the proof! :p

With the Cauchy sequence thing, (you didn't state this explicitly but this is how I've been interpreting it), given epsilon, there exists N such that [tex]||f_n-f_m||<\epsilon[/tex] if n,m>N. Now N is fixed. You can't swap up what N is later on in the proof. For small epsilon, N is probably something in the hundreds or thousands, or even higher. Yet at the end of your post you put

[tex] <br /> N = \frac{ \epsilon }{ M+1} <br /> [/tex]

Which doesn't make sense! You can't change what N is in the middle
 
  • #13
Dick said:
Yes, you've got that the pointwise limit is zero. And that uses g(0)=0. Now you just have to show that it goes uniformly to zero. I.e. there is an N such that |f_n(x)|<epsilon for all n>N. I'll give a hint. Use that g(x) is continuous at zero to make sure |f_n(x)|<epsilon for x in [0,a] for some small value of a>0. Now find an N such that |f_n(x)|<epsilon on [a,1] for n>N. (Use that |g(x)| is bounded, like you did).

OK, thanks for the hint but I don't recognize the definition of uniform convergence, in my lecture notes my instructor wrote this:

http://img82.imageshack.us/img82/2342/52594065wx1.png So I presume you mean with |...| the infinity-norm, right?
 
Last edited by a moderator:
  • #14
The pointwise limit is f(x)=0. That looks exactly like what I wrote. Showing the infinity norm of f_n(x) goes to zero is exactly the same thing as showing for all epsilon there exists an N such that for all n>N, |f_n(x)|<epsilon. Think about it.
 

Similar threads

  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 18 ·
Replies
18
Views
2K
  • · Replies 24 ·
Replies
24
Views
3K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 5 ·
Replies
5
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
6
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K