I am reading the introduction to Hilbert space by P. R. Halmos. I found there the following definition of convergence of a series:
A family $\{x_j\}$ of vector will be called summable with sum $x$, in symbols $\sum\limits_{j} x_j=x$, if for every $\varepsilon > 0$ there exist a finite set $J_0$ of indices such that $\|x-\sum\limits_{j\in J} x_j \|< \varepsilon $, whenever $J$ is a finite set of indices containing $J_0.$
Now, my question is how this definition connects with the convergent of series in $\mathbb{R}$ or $\mathbb{C}$ (The definition involving convergence of the sequence of partial sum). If we assume this definition to be true, then we can always prove the definition of convergence of a series in $\mathbb{R}$ or $\mathbb{C}$. I can also prove the equivalence for convergent series of positive real numbers. However, I am finding it difficult to Equivalence in other cases.
Thanks in advance.
In $\mathbb{R}$ or $\mathbb{C}$, the statement is in fact equivalent to the absolute convergence of the series.
Let $(x_j)_{j\in\mathbb{N}}$ be a sequence in $\mathbb{C}$.
1. Suppose $\sum_{n=1}^{\infty} |x_n| < \infty$. For any $\varepsilon > 0$, choose $N$ such that $\sum_{n=N+1}^{\infty} |x_n| < \varepsilon$. Then with the choice $J_0 = \{1,2,\dots,N\}$, for any finite set $J$ with $J_0 \subseteq J \subseteq \mathbb{N}$,
$$ \left| \sum_{n=1}^{\infty} x_n - \sum_{j \in J} x_j \right| \leq \sum_{n=N+1}^{\infty} |x_n| < \varepsilon. $$
Therefore $\sum_j x_j$ is summable with the sum $\sum_{n=1}^{\infty} x_n$.
2. Suppose $\sum_j x_j$ is summable. Then for each $\varepsilon > 0$, we can pick $J_0$ such that
$$\left| \sum_{j \in J \setminus J_0} x_j \right| < \varepsilon/4$$
for any finite set $J$ with $J_0 \subseteq J \subseteq \mathbb{N}$. Also, by enlarging $J_0$ if necessary, assume that $J_0$ takes the form $J_0 = \{1, 2, \dots, N\}$ for some $N \in \mathbb{N}$. Now we define
\begin{align*} \mathsf{R}^+ &= \{ j \in \mathbb{N} : \operatorname{Re}(x_j) \geq 0 \}, & \mathsf{R}^- &= \{ j \in \mathbb{N} : \operatorname{Re}(x_j) < 0 \}, \\ \mathsf{I}^+ &= \{ j \in \mathbb{N} : \operatorname{Im}(x_j) \geq 0 \}, & \mathsf{I}^- &= \{ j \in \mathbb{N} : \operatorname{Im}(x_j) < 0 \}. \end{align*}
Then for any $M > N$,
$$ \sum_{j \in (N, M] \cap \mathsf{R}^+} \left| \operatorname{Re}(x_j) \right| = \operatorname{Re} \Biggl[ \sum_{j \in (N, M] \cap \mathsf{R}^+} x_j \Biggr] \leq \left| \sum_{j \in (N, M] \cap \mathsf{R}^+} x_j \right| < \varepsilon/4, $$
and similar arguments show that
$$ \sum_{j \in (N, M] \cap \mathsf{R}^-} \left| \operatorname{Re}(x_j) \right| < \varepsilon/4, \qquad \sum_{j \in (N, M] \cap \mathsf{I}^+} \left| \operatorname{Im}(x_j) \right| < \varepsilon/4, \qquad \sum_{j \in (N, M] \cap \mathsf{I}^-} \left| \operatorname{Im}(x_j) \right| < \varepsilon/4. $$
So it follows that
$$ \sum_{j=N+1}^{M} |x_j| \leq \sum_{j=N+1}^{M} (\left| \operatorname{Re}(x_j) \right| + \left| \operatorname{Im}(x_j) \right|) < \varepsilon, $$
and this proves that $\sum_{j=1}^{\infty} |x_j| < \infty$. Then the previous step shows that $\sum_{j=1}^{\infty} x_j = \sum_j x_j$.
Remarks.
By extending the above proof, we can also prove that the followings are equivalent for any families $\{x_j\}_{j\in\mathcal{J}}$ in $\mathbb{C}^n$:
$\{x_j\}_{j\in\mathcal{J}}$ is summable.
$\{\|x_j\|\}_{j\in\mathcal{J}}$ is summable.
$\sup_{J} \sum_{j \in J} \|x_j\| < \infty$, where the supremum is taken over all finite subsets $J$ of $\mathcal{J}$.
On the other hand, the equivalence fails in infinite-dimensional vector spaces. For example, consider the family $\{x_j\}_{j\in\mathbb{N}}$ given by $x_j = (j^{-1} \delta_{jn})_{n=1}^{\infty}$ in the space $\ell^2(\mathbb{N})$ of the square-summable sequences. This family is summable but not "absolutely summable".