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  2. Cauchy sequence - Wikipedia

    en.wikipedia.org/wiki/Cauchy_sequence

    In mathematics, a Cauchy sequence is a sequence whose elements become arbitrarily close to each other as the sequence progresses. [1] More precisely, given any small positive distance, all excluding a finite number of elements of the sequence are less than that given distance from each other.

  3. Contraction mapping - Wikipedia

    en.wikipedia.org/wiki/Contraction_mapping

    A firmly non-expansive mapping is always non-expansive, via the Cauchy–Schwarz inequality. The class of firmly non-expansive maps is closed under convex combinations , but not compositions. [ 5 ] This class includes proximal mappings of proper, convex, lower-semicontinuous functions, hence it also includes orthogonal projections onto non ...

  4. Complete metric space - Wikipedia

    en.wikipedia.org/wiki/Complete_metric_space

    The sequence defined by = is Cauchy, but does not have a limit in the given space. However the closed interval [0,1] is complete; for example the given sequence does have a limit in this interval, namely zero.

  5. Construction of the real numbers - Wikipedia

    en.wikipedia.org/wiki/Construction_of_the_real...

    An axiomatic definition of the real numbers consists of defining them as the elements of a complete ordered field. [2] [3] [4] This means the following: The real numbers form a set, commonly denoted , containing two distinguished elements denoted 0 and 1, and on which are defined two binary operations and one binary relation; the operations are called addition and multiplication of real ...

  6. Uniformly Cauchy sequence - Wikipedia

    en.wikipedia.org/wiki/Uniformly_Cauchy_sequence

    A sequence of functions {f n} from S to M is pointwise Cauchy if, for each x ∈ S, the sequence {f n (x)} is a Cauchy sequence in M. This is a weaker condition than being uniformly Cauchy. In general a sequence can be pointwise Cauchy and not pointwise convergent, or it can be uniformly Cauchy and not uniformly convergent.

  7. Cauchy distribution - Wikipedia

    en.wikipedia.org/wiki/Cauchy_distribution

    The Cauchy distribution is an example of a distribution which has no mean, variance or higher moments defined. Its mode and median are well defined and are both equal to . The Cauchy distribution is an infinitely divisible probability distribution. It is also a strictly stable distribution. [8]

  8. Cauchy's convergence test - Wikipedia

    en.wikipedia.org/wiki/Cauchy's_convergence_test

    Cauchy's convergence test can only be used in complete metric spaces (such as and ), which are spaces where all Cauchy sequences converge. This is because we need only show that its elements become arbitrarily close to each other after a finite progression in the sequence to prove the series converges.

  9. Complete topological vector space - Wikipedia

    en.wikipedia.org/wiki/Complete_topological...

    A Cauchy sequence is a sequence that is also a Cauchy net. [ note 3 ] Every pseudometric p {\displaystyle p} on a set X {\displaystyle X} induces the usual canonical topology on X , {\displaystyle X,} which we'll denote by τ p {\displaystyle \tau _{p}} ; it also induces a canonical uniformity on X , {\displaystyle X,} which we'll denote by U p ...