Generalized Hilbert Sequence Space is Metric Space/Well-Defined

Theorem
Let $\alpha$ be an infinite cardinal number.

Let $I$ be an indexed set of cardinality $\alpha$.

Let $A$ be the set of all real-valued functions $x : I \to \R$ such that:
 * $(1)\quad \set{i \in I: x_i \ne 0}$ is countable
 * $(2)\quad$ the generalized sum $\ds \sum_{i \mathop \in I} x_i^2$ is a convergent net.

Let $d_2: A \times A: \to \R$ be the real-valued function defined as:
 * $\ds \forall x = \family {x_i}, y = \family {y_i} \in A: \map {d_2} {x, y} := \paren {\sum_{i \mathop \in I} \paren {x_i- y_i}^2}^{\frac 1 2}$

Then $d_2$ is well-defined.

Proof
Let $\ell^2$ denote the real $2$-sequence space, that is, the set of all real sequences $\sequence {x_n}$ such that the series $\ds \sum_{n \mathop = 0}^\infty x_n^2$ is convergent

Lemma 2
From Characterization of Hausdorff Property in terms of Nets:
 * a convergent net in $\R$ has a unique limit.

To show that $d_2$ is well-defined, it is sufficient to show:
 * $\ds \forall x = \family {x_i}, y = \family {y_i} \in A:$ the generalized sum $\ds \sum_{i \mathop \in I} \paren {x_i - y_i}^2$ converges

Let $x = \family {x_i}, y = \family {y_i} \in A$.

Let $\ds \sum_{i \mathop \in I} x_i^2$ and $\ds \sum_{i \mathop \in I} y_i^2$ converge to $a, b \in \R$ respectively.

From lemma 2, there exists enumeration $J = \set{j_0, j_1, j_2, \ldots}$ of a countable set of $I$:


 * $\set{i \in I : x_i \ne 0}, \set{i \in I : y_i \ne 0} \subseteq J$


 * $\sequence{x_{j_n}}, \sequence{y_{j_n}} \in \ell^2$


 * $\ds \sum_{n \mathop = 0}^\infty x_{j_n}^2 = a, \sum_{n \mathop = 0}^\infty y_{j_n}^2 = b$

From P-Sequence Space with Pointwise Addition and Pointwise Scalar Multiplication on Ring of Sequences forms Vector Space:
 * $\sequence{x_{j_n} - y_{j_n}} \in {\ell^2}$

We have:
 * $\forall i \in I \setminus J : x_i = y_i = 0$

Hence:
 * $\forall i \in I \setminus J : x_i - y_i = 0$

It follows:
 * $\set{i : x_i - y_i \ne 0} \subseteq J$

From lemma 1:
 * $\ds \sum_{i \mathop \in I} \paren{x_i - y_i}^2 = \sum_{n \mathop = 0}^\infty \paren{x_{j_n} - y_{j_n}}^2 < \infty$

That is:
 * the generalized sum $\ds \sum_{i \mathop \in I} \paren {x_i - y_i}^2$ converges

The result follows.