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Unconditional convergence

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In mathematics, specifically functional analysis, a series is unconditionally convergent if all reorderings of the series converge to the same value. In contrast, a series is conditionally convergent if it converges but different orderings do not all converge to that same value. Unconditional convergence is equivalent to absolute convergence in finite-dimensional vector spaces, but is a weaker property in infinite dimensions.

Definition

Let be a topological vector space. Let be an index set and for all .

The series is called unconditionally convergent to , if

  • the indexing set is countable, and
  • for every permutation (bijection) of the following relation holds:

Alternative definition

Unconditional convergence is often defined in an equivalent way: A series is unconditionally convergent if for every sequence , with , the series

converges.

If X is a Banach space, every absolutely convergent series is unconditionally convergent, but the converse implication does not hold in general. Indeed, if 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 = Rn, by the Riemann series theorem, the series is unconditionally convergent if and only if it is absolutely convergent.

See also

References

  • Ch. Heil: A Basis Theory Primer
  • Knopp, Konrad (1956). Infinite Sequences and Series. Dover Publications. ISBN 9780486601533.
  • Knopp, Konrad (1990). Theory and Application of Infinite Series. Dover Publications. ISBN 9780486661650.
  • Wojtaszczyk, P. (1996). Banach spaces for analysts. Cambridge University Press. ISBN 9780521566759.

This article incorporates material from Unconditional convergence on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.