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Series in a Real Inner Product Space

Partial sums of a sequence of vectors, convergence of the associated series in the metric of the space and its sum, and absolute convergence.

Statement

In the setting of Real Hilbert Spaces: Standing Notation and Background, let EE be a real inner product space, with its norm ∣⋅∣|\cdot| and distance dd, and let (xk)k∈N(x_{k})_{k\in\mathbb{N}} be a sequence in EE.

1. (Partial sums) For n∈Nn\in\mathbb{N}, the nn-th partial sum of (xk)(x_{k}) is the finite sum in EE

sn=∑k=1nxks_{n}=\sum_{k=1}^{n}x_{k}

of the restriction of (xk)(x_{k}) to [n][n], which by claim 1 of Properties of Finite Sums of Vectors does not depend on which map extending those summands is used; (sn)n∈N(s_{n})_{n\in\mathbb{N}} is a sequence in EE, called the sequence of partial sums of (xk)(x_{k}).

2. (Convergence and sum) The series ∑k=1∞xk\sum_{k=1}^{\infty}x_{k} converges if the sequence of partial sums converges in (E,d)(E,d), and diverges otherwise. When it converges, the limit of the sequence of partial sums is unique by Uniqueness of Limits in a Metric Space; that limit is the sum of the series, and is also written ∑k=1∞xk\sum_{k=1}^{\infty}x_{k}.

3. (Absolute convergence) The series ∑k=1∞xk\sum_{k=1}^{\infty}x_{k} converges absolutely if the series of real numbers ∑k=1∞∣xk∣\sum_{k=1}^{\infty}|x_{k}| converges.

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