Why Does Choosing z=1/n Demonstrate Non-Uniform Convergence?

In summary, the example on page 4 of the given link shows a sequence of functions that is not uniformly convergent. The proof involves choosing a specific value of z that depends on n, and showing that for any chosen value of N, there exists an epsilon where the functions do not converge uniformly. This is due to the behavior of the functions near 0, where they do not have a bound even though they are defined everywhere on the interval. This demonstrates that the sequence is not uniformly convergent.
  • #1
Fermat1
187
0
on page 4, example 9 in this link, http://www.personal.psu.edu/auw4/M401-notes1.pdf, they show a sequence of functions is not uniformly convergent. To show this, you need to show that for some epsilon, there is no 'universal' N.

But they didn't pick a particular value of $z$, they chose $z=1/n$, which is a function of $n$. Can anyone explain why this proves that the sequence is not uniformly convergent
 
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  • #2
Fermat said:
on page 4, example 9 in this link, http://www.personal.psu.edu/auw4/M401-notes1.pdf, they show a sequence of functions is not uniformly convergent. To show this, you need to show that for some epsilon, there is no 'universal' N.

But they didn't pick a particular value of $z$, they chose $z=1/n$, which is a function of $n$. Can anyone explain why this proves that the sequence is not uniformly convergent
If you could find a particular (fixed) value of $z$ then the functions would not converge pointwise (because they would not converge at that particular value of $z$). The aim of Example 9 is to provide a sequence of functions that converges pointwise but not uniformly. That necessarily means that the value of $z$ is going to have to depend on $n$.
 
  • #3
Opalg said:
If you could find a particular (fixed) value of $z$ then the functions would not converge pointwise (because they would not converge at that particular value of $z$). The aim of Example 9 is to provide a sequence of functions that converges pointwise but not uniformly. That necessarily means that the value of $z$ is going to have to depend on $n$.

So basically, they hare saying that whatever $N$ is chosen, that $N$ 'won't do' for $z=1/N$ ?
 
  • #4
Pick an $\epsilon < \dfrac{1}{2}$.

For example, say $\epsilon = \dfrac{1}{4}$.

Suppose, for the sake of showing a contradiction, that $\{f_n\}$ was uniformly convergent on $(0,\infty)$.

We then could find a natural number $N$ (having chosen $\epsilon$, this is now a FIXED natural number) such that:

$|f_n(x)| < \dfrac{1}{4}$ for all $n > N$ and all $x \in (0,\infty)$.

Let $x = \dfrac{1}{N+1}$.

We have:

$|f_{N+1}(N+1)| = \dfrac{1}{2} > \dfrac{1}{4}$, contradiction.

So $\{f_n\}$ must not be uniformly convergent, there is no such $N$.

What actually happens here, is we can find an $N$ that works on $(1/n,\infty)$, but no matter how big $N$ gets, there's still a little bit of $f$ for which the convergence is "too slow", even though that "little bit" winds up getting closer and closer to 0.

This example is closely related to the behavior of $f(x) = \dfrac{1}{x}$ near 0. Clearly, as we approach 0, $f$ approaches $\infty$, but no matter "how close" we get to 0, if we are not AT it, $f$ is still finite. We can bound $f$ on any interval:

$[\epsilon,1]$

but we cannot bound $f$ on $(0,1]$, even though it is defined everywhere on this interval.

This is essentially "built-in" to the real numbers, we can keep creeping closer to the cliff, and we're never actually "forced" to jump off. Even a tiny bit of "wiggle room" is enough to allow functions to do some very odd things.
 
  • #5
?The reason why choosing $z=1/n$ proves that the sequence is not uniformly convergent is because the definition of uniform convergence requires that there exists a single value of $N$ that works for all values of $z$. In other words, for any given value of $\epsilon$, there should be a corresponding value of $N$ such that for all $n>N$, the difference between the sequence of functions and the limiting function is less than $\epsilon$ for any value of $z$.

However, in this example, by choosing $z=1/n$, we are essentially letting $n$ approach infinity. This means that as $n$ gets larger and larger, $z$ gets closer and closer to 0. So, for any given value of $N$, there will always be some value of $z$ (i.e. $1/n$) that is smaller than $N$, and therefore the difference between the sequence of functions and the limiting function will always be greater than $\epsilon$. This shows that there is no single value of $N$ that works for all values of $z$, and thus the sequence is not uniformly convergent.
 

Related to Why Does Choosing z=1/n Demonstrate Non-Uniform Convergence?

What is uniform convergence?

Uniform convergence is a type of convergence in mathematics where a sequence of functions converges to a single function in such a way that the rate of convergence is the same at all points in the domain. In other words, the difference between the values of the functions in the sequence and the limit function becomes arbitrarily small for all points in the domain as the sequence approaches infinity.

How is uniform convergence different from pointwise convergence?

Pointwise convergence only requires that the functions in a sequence converge to the limit function at each point in the domain. This means that the rate of convergence can vary at different points. In contrast, uniform convergence requires that the rate of convergence is the same at all points in the domain.

What is the significance of uniform convergence?

Uniform convergence is important in analysis and calculus because it guarantees continuity and differentiability of the limit function. It also allows for the interchange of limits and integrals, which is useful in many applications.

How can uniform convergence be tested?

Uniform convergence can be tested using several methods, such as the Cauchy criterion, the Weierstrass M-test, and the Abel-Poisson summation formula. These methods involve evaluating the behavior of the sequence of functions and the properties of the limit function.

What are some common misconceptions about uniform convergence?

One common misconception is that uniform convergence and pointwise convergence are the same. Another misconception is that uniform convergence guarantees the convergence of the derivatives of the functions in the sequence. In fact, the derivatives may not converge uniformly even if the functions do. It is important to understand the specific properties and limitations of uniform convergence in order to use it effectively in mathematical analysis.

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