Show that 1/f_n -> 1/f uniformly

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Discussion Overview

The discussion revolves around proving that the sequence of functions \( \frac{1}{f_n} \) converges uniformly to \( \frac{1}{f} \) given that \( f_n \) converges uniformly to \( f \) and that \( f \) is bounded away from zero. The scope includes mathematical reasoning and uniform convergence concepts.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant presents a proof attempt, using the uniform convergence of \( f_n \) to \( f \) and deriving bounds for \( \frac{1}{f_n} \) based on \( M \), a lower bound for \( f \).
  • Another participant points out that the inequality \( |f_n(x)| \geq M - \epsilon \) holds only if \( M - \epsilon > 0 \), raising concerns about the validity of the proof under certain conditions.
  • Several participants discuss the need to select an appropriate \( \epsilon' \) to ensure that the derived bounds hold, suggesting that \( \epsilon' \) should be chosen to satisfy both \( \epsilon' \leq M/2 \) and \( \epsilon' \leq \frac{\epsilon M^2}{2} \).
  • There is a question about whether it is valid to take \( \epsilon' = \frac{M^2 \epsilon}{2} \) instead of using inequalities, with some participants clarifying the implications of their choices.
  • One participant emphasizes that the choice of \( \epsilon' \) must ensure that both constraints are satisfied, and discusses the reasoning behind using the minimum of the two bounds.

Areas of Agreement / Disagreement

Participants generally agree on the need for a careful selection of \( \epsilon' \) to ensure the proof's validity, but there is disagreement on the implications of choosing equality versus inequality in the context of the proof.

Contextual Notes

Participants express concerns about the assumptions made regarding the bounds of \( f_n \) and the implications of these bounds on the proof's validity. The discussion highlights the importance of ensuring that all conditions are met for the inequalities used in the proof.

evinda
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Hey! :cool:

I am looking at the following exercise:
Let $f_n: I \to \mathbb{R}$ a sequence of functions,that do not get zero anywhere.We suppose that $f_n \to f$ uniformly and that there is a $M>0$ such that $f(x) \geq M, \forall x \in I$.Show that $\frac{1}{x_n} \to \frac{1}{f}$ uniformly.

That's what I have tried:
Let $\epsilon>0.$
Since $f_n \to f$ uniformly $\exists n_0$ such that $\forall n \geq n_0: sup_{x \in I} \{f_n-f\} \leq \epsilon $.

For these $n \text{ and } \forall x \in I$, we have:
$$|\frac{1}{f_n(x)}-\frac{1}{f(x)}|=|\frac{f(x)-f_n(x)}{f_n(x) \cdot f(x)}| \leq \frac{sup_{x \in I} \{f_n-f\}}{|f_n(x)| |f(x)|}$$

$$M \leq |f(x)|=|f(x)-f_n(x)+f_n(x)| \leq |f_n(x)-f(x)|+|f_n(x)| \leq \epsilon + |f_n(x)| \Rightarrow |f_n(x)| \geq M-\epsilon \Rightarrow \frac{1}{|f_n(x)|} \leq \frac{1}{M-\epsilon}$$

So, $$sup_{x \in I} \{|\frac{1}{f_n(x)}-\frac{1}{f(x)}|\} \leq \frac{\epsilon}{M \cdot (M- \epsilon)} \to 0 $$

So, $$\frac{1}{f_n} \to \frac{1}{f} \text{ uniformly }$$
Could you tell me if it is right? Do I have to take maybe a specific $\epsilon$? (Thinking)
 
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The idea is correct, but there are a couple of remarks.

evinda said:
$$|f_n(x)| \geq M-\epsilon \Rightarrow \frac{1}{|f_n(x)|} \leq \frac{1}{M-\epsilon}$$
This holds only if $M-\epsilon>0$.

evinda said:
$$sup_{x \in I} \{|\frac{1}{f_n(x)}-\frac{1}{f(x)}|\} \leq \frac{\epsilon}{M \cdot (M- \epsilon)} \to 0 $$
$\dfrac{\epsilon}{M \cdot (M- \epsilon)}$ tends to 0? But it does not even depend on $n$...
 
Evgeny.Makarov said:
The idea is correct, but there are a couple of remarks.

This holds only if $M-\epsilon>0$.

$\dfrac{\epsilon}{M \cdot (M- \epsilon)}$ tends to 0? But it does not even depend on $n$...

What could I do to improve my idea? :confused:
 
evinda said:
What could I do to improve my idea?
In the beginning of the proof, you are given an $\epsilon>0$. You need to find an $N$ such that \[
\|1/f_n-1/f\|=\sup_{x\in I}|1/f_n(x)-1/f(x)|<\epsilon\qquad(*)
\]
for all $n>N$. Now, one of the first steps of the proof is instantiating the definition of uniform continuity of $f_n$ with some potentially different number $\epsilon'$:
\[
f_n\to f\text{ uniformly}\implies
\forall\epsilon'\,\exists n_0\,\forall n>n_0\;\|f_n-f\|\le\epsilon'\qquad(**)
\]
You know that whatever $\epsilon'$ you use, in the end you get an upper bound of the form
\[
\|1/f_n-1/f\|\le\frac{\epsilon'}{M(M-\epsilon')}.
\]
In order to obtain (*), we must have
\[
\frac{\epsilon'}{M(M-\epsilon')}\le\epsilon
\]
It is possible to solve this inequality for $\epsilon'$, but we can simplify it and at the same time ensure that $M-\epsilon'>0$, which will solve the second problem later. Unlike $\epsilon$, which was given, we can select $\epsilon'$. Let us do it so that $\epsilon'\le M/2$, i.e., $M-\epsilon'\ge M/2>0$. Then $1/(M-\epsilon')\le 2/M$, so
\[
\frac{\epsilon'}{M(M-\epsilon')}\le\frac{2\epsilon'}{M^2}.
\]
To make the right-hand side $\le\epsilon$, we make the second restriction: $\epsilon'\le\dfrac{\epsilon M^2}{2}$. So, if
\[
\epsilon'=\min\left(\frac{M}{2},\frac{\epsilon M^2}{2}\right)
\]
and we find $n_0$ by instantiating (**) with $\epsilon'$, then according to your calculations in post #1, we have
\[
\|1/f_n-1/f\|\le\frac{\epsilon'}{M(M-\epsilon')}\le\frac{2\epsilon'}{M^2}\le\epsilon.
\]
Choosing $\epsilon'\le M/2$ also allows concluding
\[
|f_n(x)| \geq M-\epsilon' \implies \frac{1}{|f_n(x)|} \leq \frac{1}{M-\epsilon'}
\]
because $M-\epsilon'>0$.
 
Evgeny.Makarov said:
In the beginning of the proof, you are given an $\epsilon>0$. You need to find an $N$ such that \[
\|1/f_n-1/f\|=\sup_{x\in I}|1/f_n(x)-1/f(x)|<\epsilon\qquad(*)
\]
for all $n>N$. Now, one of the first steps of the proof is instantiating the definition of uniform continuity of $f_n$ with some potentially different number $\epsilon'$:
\[
f_n\to f\text{ uniformly}\implies
\forall\epsilon'\,\exists n_0\,\forall n>n_0\;\|f_n-f\|\le\epsilon'\qquad(**)
\]
You know that whatever $\epsilon'$ you use, in the end you get an upper bound of the form
\[
\|1/f_n-1/f\|\le\frac{\epsilon'}{M(M-\epsilon')}.
\]
In order to obtain (*), we must have
\[
\frac{\epsilon'}{M(M-\epsilon')}\le\epsilon
\]
It is possible to solve this inequality for $\epsilon'$, but we can simplify it and at the same time ensure that $M-\epsilon'>0$, which will solve the second problem later. Unlike $\epsilon$, which was given, we can select $\epsilon'$. Let us do it so that $\epsilon'\le M/2$, i.e., $M-\epsilon'\ge M/2>0$. Then $1/(M-\epsilon')\le 2/M$, so
\[
\frac{\epsilon'}{M(M-\epsilon')}\le\frac{2\epsilon'}{M^2}.
\]
To make the right-hand side $\le\epsilon$, we make the second restriction: $\epsilon'\le\dfrac{\epsilon M^2}{2}$. So, if
\[
\epsilon'=\min\left(\frac{M}{2},\frac{\epsilon M^2}{2}\right)
\]
and we find $n_0$ by instantiating (**) with $\epsilon'$, then according to your calculations in post #1, we have
\[
\|1/f_n-1/f\|\le\frac{\epsilon'}{M(M-\epsilon')}\le\frac{2\epsilon'}{M^2}\le\epsilon.
\]
Choosing $\epsilon'\le M/2$ also allows concluding
\[
|f_n(x)| \geq M-\epsilon' \implies \frac{1}{|f_n(x)|} \leq \frac{1}{M-\epsilon'}
\]
because $M-\epsilon'>0$.
I understand..Thank you very much! :)
 
Evgeny.Makarov said:
In the beginning of the proof, you are given an $\epsilon>0$. You need to find an $N$ such that \[
\|1/f_n-1/f\|=\sup_{x\in I}|1/f_n(x)-1/f(x)|<\epsilon\qquad(*)
\]
for all $n>N$. Now, one of the first steps of the proof is instantiating the definition of uniform continuity of $f_n$ with some potentially different number $\epsilon'$:
\[
f_n\to f\text{ uniformly}\implies
\forall\epsilon'\,\exists n_0\,\forall n>n_0\;\|f_n-f\|\le\epsilon'\qquad(**)
\]
You know that whatever $\epsilon'$ you use, in the end you get an upper bound of the form
\[
\|1/f_n-1/f\|\le\frac{\epsilon'}{M(M-\epsilon')}.
\]
In order to obtain (*), we must have
\[
\frac{\epsilon'}{M(M-\epsilon')}\le\epsilon
\]
It is possible to solve this inequality for $\epsilon'$, but we can simplify it and at the same time ensure that $M-\epsilon'>0$, which will solve the second problem later. Unlike $\epsilon$, which was given, we can select $\epsilon'$. Let us do it so that $\epsilon'\le M/2$, i.e., $M-\epsilon'\ge M/2>0$. Then $1/(M-\epsilon')\le 2/M$, so
\[
\frac{\epsilon'}{M(M-\epsilon')}\le\frac{2\epsilon'}{M^2}.
\]
To make the right-hand side $\le\epsilon$, we make the second restriction: $\epsilon'\le\dfrac{\epsilon M^2}{2}$. So, if
\[
\epsilon'=\min\left(\frac{M}{2},\frac{\epsilon M^2}{2}\right)
\]
and we find $n_0$ by instantiating (**) with $\epsilon'$, then according to your calculations in post #1, we have
\[
\|1/f_n-1/f\|\le\frac{\epsilon'}{M(M-\epsilon')}\le\frac{2\epsilon'}{M^2}\le\epsilon.
\]
Choosing $\epsilon'\le M/2$ also allows concluding
\[
|f_n(x)| \geq M-\epsilon' \implies \frac{1}{|f_n(x)|} \leq \frac{1}{M-\epsilon'}
\]
because $M-\epsilon'>0$.

Hello! (Smile)

I am looking again at the exercise..

At the end, when we have :

$$\frac{\epsilon'}{(M- \epsilon')M} \leq \frac{\epsilon' 2}{M^2}$$

couldn't we take $\epsilon'=\frac{M^2 \epsilon}{2}$ ? (Thinking)
 
How is it different from what I did?
 
Evgeny.Makarov said:
How is it different from what I did?

I just wanted to know if we could take,instead of the inequality,the equality.. (Blush)
 
I did use equality:
\[
\epsilon'=\min\left(\frac{M}{2},\frac{\epsilon M^2}{2}\right)
\]
If the second number is smaller, then $\epsilon'=\frac{\epsilon M^2}{2}$. But the reasoning I suggested also uses the fact that $\epsilon'\le\frac{M}{2}$, which is the reason for using $\min$.

In fact, what do you mean by taking inequality? The two inequalities
\[
\epsilon'\le\frac{M}{2},\quad
\epsilon'\le\frac{\epsilon M^2}{2}\qquad(+)
\]
are constraints on $\epsilon'$ that are used in the proof. The logic of the proof says that given $\epsilon$, we choose an $\epsilon'$ and then an $n_0$ based on $\epsilon'$ in a way that guarantees $\|1/f_n-1/f\|\le\epsilon$ for all $n>n_0$. We have to choose a specific $\epsilon'$; we can't choose all $\epsilon'$ satisfying (+). So, an obvious choice is to select the smaller of the two values. We could also choose the half of the smaller and so on.
 
  • #10
Evgeny.Makarov said:
I did use equality:
\[
\epsilon'=\min\left(\frac{M}{2},\frac{\epsilon M^2}{2}\right)
\]
If the second number is smaller, then $\epsilon'=\frac{\epsilon M^2}{2}$. But the reasoning I suggested also uses the fact that $\epsilon'\le\frac{M}{2}$, which is the reason for using $\min$.

In fact, what do you mean by taking inequality? The two inequalities
\[
\epsilon'\le\frac{M}{2},\quad
\epsilon'\le\frac{\epsilon M^2}{2}\qquad(+)
\]
are constraints on $\epsilon'$ that are used in the proof. The logic of the proof says that given $\epsilon$, we choose an $\epsilon'$ and then an $n_0$ based on $\epsilon'$ in a way that guarantees $\|1/f_n-1/f\|\le\epsilon$ for all $n>n_0$. We have to choose a specific $\epsilon'$; we can't choose all $\epsilon'$ satisfying (+). So, an obvious choice is to select the smaller of the two values. We could also choose the half of the smaller and so on.

A ok.. I understood it..thank you very much! :)
 

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