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  2. T-norm - Wikipedia

    en.wikipedia.org/wiki/T-norm

    As the standard negator is used in the above definition of a t-norm/t-conorm pair, this can be generalized as follows: A De Morgan triplet is a triple (T,⊥,n) such that [1] T is a t-norm; ⊥ is a t-conorm according to the axiomatic definition of t-conorms as mentioned above; n is a strong negator

  3. Hahn–Banach theorem - Wikipedia

    en.wikipedia.org/wiki/Hahn–Banach_theorem

    The Hahn–Banach theorem is a central tool in functional analysis.It allows the extension of bounded linear functionals defined on a vector subspace of some vector space to the whole space, and it also shows that there are "enough" continuous linear functionals defined on every normed vector space to make the study of the dual space "interesting".

  4. Norm (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Norm_(mathematics)

    A vector space with a specified norm is called a normed vector space. In a similar manner, a vector space with a seminorm is called a seminormed vector space. The term pseudonorm has been used for several related meanings. It may be a synonym of "seminorm". [1]

  5. Metric space - Wikipedia

    en.wikipedia.org/wiki/Metric_space

    Infinite-dimensional normed vector spaces, particularly spaces of functions, are studied in functional analysis. Completeness is particularly important in this context: a complete normed vector space is known as a Banach space. An unusual property of normed vector spaces is that linear transformations between them are continuous if and only if ...

  6. Spaces of test functions and distributions - Wikipedia

    en.wikipedia.org/wiki/Spaces_of_test_functions...

    The space of distributions, being defined as the continuous dual space of (), is then endowed with the (non-metrizable) strong dual topology induced by () and the canonical LF-topology (this topology is a generalization of the usual operator norm induced topology that is placed on the continuous dual spaces of normed spaces).

  7. Normed vector space - Wikipedia

    en.wikipedia.org/wiki/Normed_vector_space

    Inner product spaces are a subset of normed vector spaces, which are a subset of metric spaces, which in turn are a subset of topological spaces. In mathematics, a normed vector space or normed space is a vector space over the real or complex numbers on which a norm is defined. [1]

  8. Banach–Mazur compactum - Wikipedia

    en.wikipedia.org/wiki/Banach–Mazur_compactum

    In the mathematical study of functional analysis, the Banach–Mazur distance is a way to define a distance on the set () of -dimensional normed spaces. With this distance, the set of isometry classes of n {\displaystyle n} -dimensional normed spaces becomes a compact metric space , called the Banach–Mazur compactum .

  9. Space (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Space_(mathematics)

    A real or complex linear space endowed with a norm is a normed space. Every normed space is both a linear topological space and a metric space. A Banach space is a complete normed space. Many spaces of sequences or functions are infinite-dimensional Banach spaces. The set of all vectors of norm less than one is called the unit ball of a normed ...