Completeness of \ell^1: Proving Convergence of Cauchy Sequences

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In summary, the space of all (real) sequences v = \{v_k\} such that \sum|x_k| < \infty is complete. The Attempt at a Solution is to find a sequence u = \{u_k\} such that u_k = \lim v_{n,k} as n goes to infinity.
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Homework Statement



Prove that [tex]\ell^1[/tex], the space of all (real) sequences [tex]v = \{v_k\}[/tex] such that [tex]\sum|x_k| < \infty [/tex], is complete.

Homework Equations



[tex]\ell^1[/tex] is a normed space with the norm [tex]||x|| = \sum |x_k|[/tex]

The Attempt at a Solution



Let [tex]v_n[/tex] be a Cauchy sequence of sequences in [tex]\ell^1[/tex]. Then for all [tex]\epsilon > 0[/tex] there exists N > 0 such that for all n,m > N we have [tex]\sum |v_{n,k} - v_{m,k}| < \epsilon[/tex] (here [tex]v_{n,k}[/tex] means the kth term of the nth sequence)

in particular this means that [tex]|v_{n,k} - v_{m,k}| < \epsilon [/tex] so we can define a sequence [tex]u = \{u_k\}[/tex] as [tex]u_k = \lim v_{n,k}[/tex] as n goes to infinity.

Now i think the sequence u would be the limit of [tex]v_n[/tex] as n goes to inifnity, but I'm not sure how to prove it. Firstly, I don't know how to prove that u converges absolutely. the problem is by the definition of u, given [tex]\epsilon[/tex] I can find a sequence v_n whose terms are each within [tex]\epsilon[\tex] from the corresponding term in u, but when summing, this is like summin [tex]\epsilon[\tex] infinitly many times.. so how can I do it? any hint would be appreciated :)
Thanks.
 
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  • #2
if we do this:
[tex]\lim \sum |v_{n,k} - v_{m,k}| = \sum \lim |v_{n,k} - v_{m,k}| [/tex] where the limit is taken as m -> infinity, then we have [tex]\sum |v_{n,k} - u_{k}| < \epsilon [/tex] for sufficiently large n. But how can I justify interchanging the sum and the limit?
 
  • #3
Your u is good.

There is a trick to interchanging the sum and the limit, which roughly speaking is this:

(1) use epsilon,
(2) change the bound on the infinite sum to a bound on a finite sum from k=1 to j,
(3) note that the bound is independent of j,
(4) take your limit as m approaches infinity (OK to do, since sum is finite),
(5) bound is still independent of j, so now let j approach infinity.

Here are the details, applied to the problem of showing u converges absolutely.

(1) [tex]v_n[/tex] is Cauchy so it's bounded; thus [tex]||v_n||\le M[/tex] (using M instead of epsilon for this example)

(2) for any j, [tex]\sum_{k=1}^j |v_{n,k}|\le M[/tex]

(3) previous bound is independent of j

(4) take limit as n (using n instead of m) approaches infinity, [tex]\sum_{k=1}^j |u_k|\le M[/tex]

(5) bound is still independent of j, so let j approach infinity, [tex]||u||\le M[/tex].

Now you can try it for the convergence.
 
  • #4
oh, I see! It's now very clear to me. Thank you so much. :)
 

FAQ: Completeness of \ell^1: Proving Convergence of Cauchy Sequences

What is l^1?

l^1 (pronounced "ell-one") is a mathematical notation that represents the set of all absolutely convergent series. It is commonly used in functional analysis and can be thought of as a subset of the set of all real-valued sequences.

What does it mean for l^1 to be complete?

A set is considered complete if every Cauchy sequence (a sequence in which the terms become arbitrarily close to each other) in that set converges to a point within the set. In the case of l^1, this means that every Cauchy sequence of absolutely convergent series will converge to another absolutely convergent series within l^1.

How do you prove that l^1 is complete?

To prove that l^1 is complete, we must show that every Cauchy sequence in l^1 converges to a point within l^1. This can be done by using the definition of Cauchy sequences and the properties of l^1, such as the triangle inequality and the fact that the sum of two absolutely convergent series is also absolutely convergent. A rigorous mathematical proof involves constructing the limit of the sequence and showing that it belongs to l^1.

Why is it important for l^1 to be complete?

The completeness of l^1 is important because it allows us to ensure that certain operations, such as taking limits, can be performed within this set. This is useful in various areas of mathematics, such as functional analysis and signal processing, where l^1 is commonly used. It also helps to establish the uniqueness of solutions to certain problems, as well as providing a framework for studying other complete sets.

Are there any other important properties of l^1?

Yes, in addition to being complete, l^1 also has other important properties, such as being a Banach space (a complete normed vector space) and being a separable space (having a countable dense subset). These properties make l^1 a useful and well-studied set in mathematics.

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