Uniform Convergence - Questions Answered

In summary: So, in summary, pointwise convergence of a sequence of vectors in a normed vector space is equivalent to uniform convergence.
  • #1
T-O7
55
0
Hello,

I have two questions to ask regarding uniform convergence for sequences of functions.

So I know that if a sequence of continuous functions f_n : [a,b] -> R converge uniformly to function f, then f is continuous.

Is this true if "continous" is replaced with "piecewise continuous"? (I am not assuming that the sequence functions are discontinuous at the same points)
i.e. if f_n are each discontinuous at finitely many points, is the uniform limit function f discontinuous at finitely many points as well?

Also, does anyone know for what kinds of metric spaces (if any) is "pointwise convergence" for sequences of functions equivalent to "uniform convergence"?

Thanx.
 
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  • #2
T-O7 said:
Also, does anyone know for what kinds of metric spaces (if any) is "pointwise convergence" for sequences of functions equivalent to "uniform convergence"?

Thanx.
Using the L^p spaces have this property in a sense under certain restrictions (such has having an integrable function that is always greater than the sequence).
 
  • #3
e.g. Dominated Convergence Theorem
 
  • #4
I'd like to add that something, but it has to do with functional analysis. If you were to consider "uniform convergence" the same thing as convergence in the norm, then there are cases where this cannot be true. In some cases, pointwise convergence cannot be the same as convergence in the norm (ie. there is no norm, that would have those qualities).

One example would be the set of all sequences (they don't need to be bounded) with either real or complex numbers. There is no norm that would have the following property: a sequence of sequences converges converges pointwise if and only if the sequence converges in the norm. The reason that is not possible can be proven pretty simply by a counterargument.

(Outline of Proof: Assume such a norm exists. For any bounded sequence of sequences, you can then choose a subsequence by induction in each variable--ie. the i-th place of the sequence--so that they converge because each component is bounded sequence of real or complex numbers. The subsequence chosen would then converge pointwise. But that means that it also converges in the norm. What that implies is that every bounded sequence has a convergent subsequence in this norm. That implies that the dimension of the set off all sequences is finite. This is obviously not true and therefore there cannot exist a norm with the mentioned properties.)

So basically it depends on what you mean by "convergence in the norm". Under certain restrictions it can be realized, but in many cases a general convergence from pointwise convergence cannot be realized (which is where topological vector spaces take over for normed vector spaces).
 
  • #5
Norm (or strong) convergence of, say, a sequence of vectors {xn} in a Hilbert space may be defined thus:

[tex]x_{n}\rightarrow x\mbox{ if, and only if }\|x_n - x\|\rightarrow 0\mbox{ as } n\rightarrow\infty[/tex]
 

What is uniform convergence?

Uniform convergence is a type of convergence in mathematics where a sequence of functions converges to a limit function in such a way that the rate of convergence is independent of the point in the domain. This means that the functions are getting closer to the limit at the same rate across the entire domain.

How is uniform convergence different from pointwise convergence?

Pointwise convergence is a type of convergence where a sequence of functions converges to a limit function at each individual point in the domain. This means that the functions may converge at different rates at different points in the domain. Uniform convergence, on the other hand, ensures that the functions are getting closer to the limit at the same rate across the entire domain.

Why is uniform convergence important?

Uniform convergence is important because it allows us to interchange limits and integrals. This is particularly useful in applications such as Fourier series and differential equations. It also has important implications in the study of series and the behavior of functions.

What are some examples of uniformly convergent sequences of functions?

Some examples of uniformly convergent sequences of functions include polynomials, power series, and rational functions. These sequences have a finite rate of convergence across the entire domain, making them uniformly convergent.

What are some techniques for proving uniform convergence?

One technique for proving uniform convergence is the Weierstrass M-test, which states that if the absolute value of a sequence of functions is bounded by a convergent series, then the sequence is uniformly convergent. Another technique is the Cauchy criterion, which states that a sequence of functions is uniformly convergent if the difference between any two functions in the sequence can be made arbitrarily small by choosing a large enough index in the sequence.

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