Uniform Convergence, help with proof of theorems

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Homework Help Overview

The discussion revolves around proving theorems related to uniform convergence of sequences of functions defined on a set D. The original poster presents two statements requiring proof, both involving sequences of functions and their convergence properties.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to apply the definition of uniform convergence directly to both problems, suggesting that they can choose specific values for N and relate them to the sequences involved. Some participants question the appropriateness of equating certain variables and clarify the distinction between convergence types.

Discussion Status

Participants are actively engaging with the original poster's reasoning, providing clarifications and corrections. There is a recognition of the need for precise definitions and understanding of the concepts involved, particularly regarding the implications of the conditions given in the problems.

Contextual Notes

There is an ongoing exploration of the definitions and implications of uniform convergence, particularly in relation to sequences that converge to zero. Some participants express confusion regarding the relationship between the sequences and the definitions provided.

spenghali
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Homework Statement


1.) Prove that if { f_{n} } is a sequence of functions defined on a set D, and if there is a sequence of numbers b_{n}, such that b_{n} \rightarrow 0, and | f_{n}(x) | \leq b_{n} for all x \in D, then { f_{n} } converges uniformly to 0 on D.

2.) Prove that if { f_{n} } is a sequence of functions defined on a set D, and if { f_{n} } converges uniformly to zero on D, then { f_{n}(x_{n}) } converges to zero for every sequence { x_{n} } of points of D.

Homework Equations



Definition of Uniform Convergences:

{ f_{n} } is said to converge uniformly on D to a function f if, for each \epsilon > 0, there is N such that,

| f(x) - f_{n}(x) | < \epsilon whenever x \in D and n>N.

The Attempt at a Solution



1.) SO for this one, it seems that i can just pick N = b_{n} = \epsilon and then this theorem follows immediately from the definition of uniform convergence.

2.) Similarly, for this one, because x_{n} is just a sequence of points in D, then we just replace x with x_{n} and the proof will also follow immediately from the definition of uniform convergence.

Am I on the right track with these? They both seem some what trivial.
 
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spenghali said:
1.) SO for this one, it seems that i can just pick N = b_{n} = \epsilon and then this theorem follows immediately from the definition of uniform convergence.

Not exactly. The \epsilon isn't necessarily equal to any of the b_n (and certainly N isn't equal to either of them!), but can be any positive real number. But then you know that you can find an N such that b_n \leq \epsilon for all n \geq N, and the result follows from this.

2.) Similarly, for this one, because x_{n} is just a sequence of points in D, then we just replace x with x_{n} and the proof will also follow immediately from the definition of uniform convergence.

Pretty much, although I can't say for sure unless you write down exactly what your argument is.
 
For #1, we know that bn converges to zero, and thus by definition of convergence, i can pick N = eps. The fact that bn is only convergent and not uniformly convergent is confusing me as to why fn(x) being less than or equal to bn implies UNIFORM convergence.
 
spenghali said:
For #1, we know that bn converges to zero, and thus by definition of convergence, i can pick N = eps. The fact that bn is only convergent and not uniformly convergent is confusing me as to why fn(x) being less than or equal to bn implies UNIFORM convergence.

I'm not sure what you mean by N = \epsilon[/tex]. If you picture plotting the sequence \{b_n\} on a graph, with n along the horizontal axis, and the value of b_n on the vertical axis, then N is a horizontal-axis value, whereas \epsilon is a vertical-axis value. It doesn&#039;t make any sense to set one equal to the other.<br /> <br /> As to why f_n(x) &amp;lt; b_n implies uniform convergence, it is because b_n is a constant that does not depend on x.
 
ok, so i figured out #1, I used the fact that |fn(x)| is less than or equal to bn if and only if it is greater than or equal to -bn, and less than or equal to bn, then applied the squeeze theorem. Still working on #2
 

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