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  2. Normed vector space - Wikipedia

    en.wikipedia.org/wiki/Normed_vector_space

    The definition of many normed spaces (in particular, Banach spaces) involves a seminorm defined on a vector space and then the normed space is defined as the quotient space by the subspace of elements of seminorm zero.

  3. 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]

  4. Banach space - Wikipedia

    en.wikipedia.org/wiki/Banach_space

    In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space.Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vectors and is complete in the sense that a Cauchy sequence of vectors always converges to a well-defined limit that is within the space.

  5. Uniformly convex space - Wikipedia

    en.wikipedia.org/wiki/Uniformly_convex_space

    The unit sphere can be replaced with the closed unit ball in the definition. Namely, a normed vector space is uniformly convex if and only if for every < there is some > so that, for any two vectors and in the closed unit ball (i.e. ‖ ‖ and ‖ ‖) with ‖ ‖, one has ‖ + ‖ (note that, given , the corresponding value of could be smaller than the one provided by the original weaker ...

  6. Lp space - Wikipedia

    en.wikipedia.org/wiki/Lp_space

    The Lebesgue space. The normed vector space ((,), ‖ ‖) is called space or the Lebesgue space of -th power integrable functions and it is a Banach space for every (meaning that it is a complete metric space, a result that is sometimes called the Riesz–Fischer theorem).

  7. 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 ...

  8. Strictly convex space - Wikipedia

    en.wikipedia.org/wiki/Strictly_convex_space

    In mathematics, a strictly convex space is a normed vector space (X, || ||) for which the closed unit ball is a strictly convex set. Put another way, a strictly convex space is one for which, given any two distinct points x and y on the unit sphere ∂B (i.e. the boundary of the unit ball B of X), the segment joining x and y meets ∂B only at ...

  9. Weak topology - Wikipedia

    en.wikipedia.org/wiki/Weak_topology

    Let X be a normed topological vector space over F, compatible with the absolute value in F. Then in , the topological dual space X of continuous F-valued linear functionals on X, all norm-closed balls are compact in the weak* topology. If X is a normed space, a version of the Heine-Borel theorem holds.