Let X {\displaystyle X} be a topological vector space. Let I {\displaystyle I} be an index set and x i ∈ X {\displaystyle x_{i}\in X} for all i ∈ I . {\displaystyle i\in I.}
The series ∑ i ∈ I x i {\displaystyle \textstyle \sum _{i\in I}x_{i}} is called unconditionally convergent to x ∈ X , {\displaystyle x\in X,} if
Unconditional convergence is often defined in an equivalent way: A series is unconditionally convergent if for every sequence ( ε n ) n = 1 ∞ , {\displaystyle \left(\varepsilon _{n}\right)_{n=1}^{\infty },} with ε n ∈ { − 1 , + 1 } , {\displaystyle \varepsilon _{n}\in \{-1,+1\},} the series ∑ n = 1 ∞ ε n x n {\displaystyle \sum _{n=1}^{\infty }\varepsilon _{n}x_{n}} converges.
If X {\displaystyle X} is a Banach space, every absolutely convergent series is unconditionally convergent, but the converse implication does not hold in general. Indeed, if X {\displaystyle X} is an infinite-dimensional Banach space, then by Dvoretzky–Rogers theorem there always exists an unconditionally convergent series in this space that is not absolutely convergent. However, when X = R n , {\displaystyle X=\mathbb {R} ^{n},} by the Riemann series theorem, the series ∑ n x n {\textstyle \sum _{n}x_{n}} is unconditionally convergent if and only if it is absolutely convergent.
This article incorporates material from Unconditional convergence on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.