# Absolutely Convergent Series is Convergent iff Normed Vector Space is Banach

## Contents

## Theorem

Let $\struct {X, \norm {\, \cdot \,}}$ be a normed vector space.

Let $\displaystyle \sum_{n \mathop = 1}^\infty a_n$ be an absolutely convergent series in $X$.

Then $\displaystyle \sum_{n \mathop = 1}^\infty a_n$ is convergent if and only if $X$ is a Banach space.

## Proof

### Necessary Condition

That $\displaystyle \sum_{n \mathop = 1}^\infty a_n$ is absolutely convergent means that $\displaystyle \sum_{n \mathop = 1}^\infty \norm {a_n}$ converges in $\R$.

Hence the sequence of partial sums is a Cauchy sequence by Convergent Sequence is Cauchy Sequence.

Now let $\epsilon > 0$.

Let $N \in \N$ such that for all $m, n \in \N$, $m \ge n \ge N$ implies that:

- $\displaystyle \sum_{k \mathop = n + 1}^m \norm {a_k} = \size {\sum_{k \mathop = 1}^m \norm {a_k} - \sum_{k \mathop = 1}^n \norm {a_k} } < \epsilon$

This $N$ exists because the sequence is Cauchy.

Now observe that, for $m \ge n \ge N$, one also has:

\(\displaystyle \norm {\sum_{k \mathop = 1}^m a_k - \sum_{k \mathop = 1}^n a_k}\) | \(=\) | \(\displaystyle \norm {\sum_{k \mathop = n + 1}^m a_k}\) | |||||||||||

\(\displaystyle \) | \(\le\) | \(\displaystyle \sum_{k \mathop = n + 1}^m \norm {a_k}\) | Triangle inequality for $\norm {\, \cdot \,}$ | ||||||||||

\(\displaystyle \) | \(<\) | \(\displaystyle \epsilon\) |

It follows that the sequence of partial sums of $\displaystyle \sum_{n \mathop = 1}^\infty a_n$ is Cauchy.

As $X$ is a Banach space, this implies that $\displaystyle \sum_{n \mathop = 1}^\infty a_n$ converges.

$\Box$

### Sufficient Condition

Let $\sequence {x_n}_{n \mathop \in \N}$ be a Cauchy sequence in $X$.

We have that:

- $\forall \epsilon \in \R_{>0}: \exists N \in \N: \forall m, n \in \N: m, n \ge N: \norm {x_n - x_m} < \epsilon$

We will prove the existence of a subsequence $\sequence {x_{n_k} }_{k \mathop \in \N}$ such that:

- $\displaystyle n > n_k \implies \norm {x_n - x_{n_k} } < \frac 1 {2^k}$

### Basis for the Induction

Let $\displaystyle \epsilon = \frac 1 2$.

Choose $n_1$ such that:

- $\displaystyle n, m \ge n_1 \implies \norm {x_n - x_m} < \frac 1 2$

In particular, when $m = n_1$:

- $\displaystyle n \ge n_1 \implies \norm {x_n - x_{n_1}} < \frac 1 2$

### Induction Step

Suppose $x_{n_1}, \dots x_{n_k}$ have been constructed.

Let $\displaystyle \epsilon = \frac 1 {2^{k + 1}}$.

Choose $n_{k + 1}$ such that $n_{k + 1} > n_k$ and:

- $\displaystyle n, m \ge n_{k + 1} \implies \norm {x_n - x_m} < \frac 1 {2^{k + 1}}$

In particular, when $m = n_{k + 1}$:

- $\displaystyle n \ge n_{k + 1} \implies \norm {x_n - x_{n_{k + 1}}} < \frac 1 {2^{k + 1}}$

$\Box$

Define:

- $u_1 := x_{n_1}$

- $u_{k + 1} := x_{n_{k + 1}} - x_{n_k}$

Now we have a sequence $\sequence {u_k}_{k \mathop \in \N}$.

Consider the series $\displaystyle \sum_{k \mathop = 1}^\infty \norm {u_k}$:

\(\displaystyle \sum_{k \mathop = 1}^\infty \norm {u_k}\) | \(=\) | \(\displaystyle \norm {u_1} + \sum_{k \mathop = 2}^\infty \norm {u_k}\) | |||||||||||

\(\displaystyle \) | \(=\) | \(\displaystyle \norm {u_1} + \sum_{k \mathop = 2}^\infty \norm {x_{n_k} - x_{n_{k - 1} } }\) | |||||||||||

\(\displaystyle \) | \(=\) | \(\displaystyle \norm {u_1} + \sum_{k \mathop = 1}^\infty \norm {x_{n_{k + 1} } - x_{n_k} }\) | Relabeling: $k \to k + 1$ | ||||||||||

\(\displaystyle \) | \(\le\) | \(\displaystyle \norm {x_{n_1} } + \sum_{k \mathop = 1}^\infty \frac 1 {2^k}\) | |||||||||||

\(\displaystyle \) | \(\le\) | \(\displaystyle \norm {x_{n_1} } + 1\) | |||||||||||

\(\displaystyle \) | \(<\) | \(\displaystyle \infty\) |

Thus, $\displaystyle \sum_{k \mathop = 1}^\infty u_k$ is absolutely convergent.

By assumption in the theorem, $\displaystyle \sum_{k \mathop = 1}^\infty u_k$ is convergent.

In other words:

- $\displaystyle \lim_{k \mathop \to \infty} \sum_{j \mathop = 1}^k u_j = u$.

On the other hand:

\(\displaystyle \sum_{j \mathop = 1}^k u_j\) | \(=\) | \(\displaystyle x_{n_1} + \sum_{j \mathop = 2}^k \paren {x_{n_j} - x_{n_{j \mathop - 1} } }\) | |||||||||||

\(\displaystyle \) | \(=\) | \(\displaystyle x_{n_k}\) | Telescoping Series |

Therefore:

- $\displaystyle \lim_{k \mathop \to \infty} x_{n_k} = u =: x$

So $\sequence {x_{n_k} }_{k \mathop \in \N}$ converges in $X$.

We have that $\sequence {x_{n_k} }_{k \mathop \in \N}$ is a convergent subsequence of a Cauchy sequence$\sequence {x_n}_{n \mathop \in \N}$.

By Convergent Subsequence of Cauchy Sequence in Normed Vector Space, $\sequence {x_n}_{n \mathop \in \N}$ is convergent with the same limit $x$.

By definition, the underlying space is Banach.

$\blacksquare$

## Sources

- 2017: Amol Sasane:
*A Friendly Approach to Functional Analysis*: $\S 1$: Normed and Banach spaces