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  2. Minkowski functional - Wikipedia

    en.wikipedia.org/wiki/Minkowski_functional

    These relationships between seminorms, Minkowski functionals, and absorbing disks is a major reason why Minkowski functionals are studied and used in functional analysis. In particular, through these relationships, Minkowski functionals allow one to "translate" certain geometric properties of a subset of X {\textstyle X} into certain algebraic ...

  3. Seminorm - Wikipedia

    en.wikipedia.org/wiki/Seminorm

    Seminorms on a vector space are intimately tied, via Minkowski functionals, to subsets of that are convex, balanced, and absorbing. Given such a subset D {\displaystyle D} of X , {\displaystyle X,} the Minkowski functional of D {\displaystyle D} is a seminorm.

  4. Locally convex topological vector space - Wikipedia

    en.wikipedia.org/wiki/Locally_convex_topological...

    A topological vector space (TVS) is called locally convex if it has a neighborhood basis (that is, a local base) at the origin consisting of balanced, convex sets. [7] The term locally convex topological vector space is sometimes shortened to locally convex space or LCTVS.

  5. Minkowski content - Wikipedia

    en.wikipedia.org/wiki/Minkowski_content

    Indeed, clearly the Minkowski content assigns the same value to the set A as well as its closure. If A is a closed m-rectifiable set in R n, given as the image of a bounded set from R m under a Lipschitz function, then the m-dimensional Minkowski content of A exists, and is equal to the m-dimensional Hausdorff measure of A. [3]

  6. Dunford–Pettis property - Wikipedia

    en.wikipedia.org/wiki/Dunford–Pettis_property

    In functional analysis, the Dunford–Pettis property, named after Nelson Dunford and B. J. Pettis, is a property of a Banach space stating that all weakly compact operators from this space into another Banach space are completely continuous.

  7. Topological vector space - Wikipedia

    en.wikipedia.org/wiki/Topological_vector_space

    Every topological vector space has a continuous dual space—the set ′ of all continuous linear functionals, that is, continuous linear maps from the space into the base field . A topology on the dual can be defined to be the coarsest topology such that the dual pairing each point evaluation X ′ → K {\displaystyle X'\to \mathbb {K} } is ...

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  9. Strong operator topology - Wikipedia

    en.wikipedia.org/wiki/Strong_operator_topology

    The linear functionals on the set of bounded operators on a Hilbert space that are continuous in the SOT are precisely those continuous in the weak operator topology (WOT). Because of this, the closure of a convex set of operators in the WOT is the same as the closure of that set in the SOT.