Weakly Convergent l^p Sequences: Boundedness and Convergence in C

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In summary, we can conclude that for any p-value greater than 1, if a sequence in the space of p-summable sequences converges weakly to zero, then the individual values within the sequence are uniformly bounded and converge to zero in the space of continuous functions, regardless of the fixed value of m. The converse is also true, as shown by considering the dense space of finite sequences and the fact that it is dense in all \ell^p spaces.
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For 1 < p < oo it is true that:
If we have a sequence ( x_n )_(n >= 1) in l^p that converges weakly to zero then that implies the x_n are uniformly bounded and that ((x^{m})_n) -> 0 in C (as n -> oo) for each fixed m.
(where l^p is the space of p-summable sequences of complex numbers, and I wrote x_n = ((x^{m})_n )_(m >= 1) , couldn't think of a better notation...)

Is the converse true? Why would that be? It doesn't look too obvious... at least not for me.
 
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Provided I've read your post correctly, then yes, the converse is true.

So basically you want to show that [itex]|f(x_n) - f(0)| \to 0[/itex] for all [itex]f \in (\ell^p)^\ast = \ell^q[/itex] given pointwise convergence and uniform boundedness. First consider the space [itex]\ell[/itex] of finite sequences. For every [itex]f \in \ell^\ast[/itex], we have that [itex]\lim_n f(x_n) = 0[/itex] (why?). Now use the fact that [itex]\ell[/itex] is dense in all the [itex]\ell^p[/itex] spaces.
 

Related to Weakly Convergent l^p Sequences: Boundedness and Convergence in C

1. What is the significance of weak convergence in l^p sequences?

Weak convergence in l^p sequences is important because it allows us to study the convergence of sequences without requiring the elements of the sequence to converge pointwise. This is particularly useful in functional analysis, where the sequence is often considered as a function in a function space.

2. What does it mean for a sequence to be weakly convergent in l^p?

A sequence (x_n) in l^p is said to be weakly convergent if there exists a limit x in l^p such that for every linear functional L on l^q (the dual space of l^p), the sequence of values L(x_n) converges to L(x). In other words, the sequence converges weakly with respect to all continuous linear functionals on l^q.

3. How does boundedness affect weak convergence in l^p sequences?

If a sequence (x_n) in l^p is bounded, then it is also weakly convergent. This is known as the Banach-Alaoglu theorem, which states that the closed unit ball in the dual space of a normed space is compact in the weak* topology. This result is particularly useful in proving the existence of weakly convergent subsequences in l^p.

4. Can weak convergence in l^p be characterized in terms of the norm?

Yes, weak convergence in l^p can be characterized in terms of the norm. A sequence (x_n) in l^p is weakly convergent to x if and only if the sequence (||x_n||) is bounded and ||x_n - x|| -> 0 as n -> infinity.

5. How does weak convergence in l^p relate to its strong counterpart?

Weak convergence in l^p is a weaker form of convergence compared to strong convergence. However, in certain cases, weak convergence can imply strong convergence. For example, if the underlying space is reflexive, then every weakly convergent sequence is also strongly convergent. This is known as Eberlein–Šmulian theorem.

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