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Convex space information


In mathematics, a convex space (or barycentric algebra) is a space in which it is possible to take convex combinations of any sets of points.[1][2]

  1. ^ "Convex space". nLab. Retrieved 3 April 2023.
  2. ^ Fritz, Tobias (2009). "Convex Spaces I: Definition and Examples". arXiv:0903.5522 [math.MG].

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Convex space

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mathematics, a convex space (or barycentric algebra) is a space in which it is possible to take convex combinations of any sets of points. A convex space can be...

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Locally convex topological vector space

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locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They...

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Convex set

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In geometry, a subset of a Euclidean space, or more generally an affine space over the reals, is convex if, given any two points in the subset, the subset...

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Uniformly convex space

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In mathematics, uniformly convex spaces (or uniformly rotund spaces) are common examples of reflexive Banach spaces. The concept of uniform convexity...

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Convex hull

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In geometry, the convex hull, convex envelope or convex closure of a shape is the smallest convex set that contains it. The convex hull may be defined...

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Strictly convex space

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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...

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Topological vector space

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locally convex. Banach spaces, Hilbert spaces and Sobolev spaces are other well-known examples of TVSs. Many topological vector spaces are spaces of functions...

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Reflexive space

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mathematics known as functional analysis, a reflexive space is a locally convex topological vector space for which the canonical evaluation map from X {\displaystyle...

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Convex cone

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subset of a vector space that is closed under linear combinations with positive coefficients. It follows that convex cones are convex sets. In this article...

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Convex combination

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… , x n {\displaystyle x_{1},x_{2},\dots ,x_{n}} in a real vector space, a convex combination of these points is a point of the form α 1 x 1 + α 2 x...

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Convex polytope

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n} -dimensional Euclidean space R n {\displaystyle \mathbb {R} ^{n}} . Most texts use the term "polytope" for a bounded convex polytope, and the word "polyhedron"...

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Normed vector space

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spaces Locally convex topological vector space – a vector space with a topology defined by convex open sets Space (mathematics) – mathematical set with some...

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Contraction mapping

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a subcontractor f is compact, then f has a fixed point. In a locally convex space (E, P) with topology given by a set P of seminorms, one can define for...

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Banach space

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Fréchet space – A locally convex topological vector space that is also a complete metric space Hardy space – Concept within complex analysis Hilbert space –...

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Barrelled space

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or a barrel in a topological vector space is a set that is convex, balanced, absorbing, and closed. Barrelled spaces are studied because a form of the Banach–Steinhaus...

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Bornological space

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a bornological space into any locally convex spaces is continuous if and only if it is a bounded linear operator. Bornological spaces were first studied...

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Strictly convex

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convex set of points Strictly convex set, a set whose interior contains the line between any two points Strictly convex space, a normed vector space for...

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Convex metric space

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In mathematics, convex metric spaces are, intuitively, metric spaces with the property any "segment" joining two points in that space has other points...

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Nuclear space

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{\displaystyle X} is nuclear if for every locally convex space Y , {\displaystyle Y,} the canonical vector space embedding X ⊗ π Y → B ε ( X σ ′ , Y σ ′ ) {\displaystyle...

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Metrizable topological vector space

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vector space (TVS) is a TVS whose topology is induced by a metric (resp. pseudometric). An LM-space is an inductive limit of a sequence of locally convex metrizable...

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Totally bounded space

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topological vector spaces; it dates to a 1935 paper of John von Neumann. This definition has the appealing property that, in a locally convex space endowed with...

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Seminorm

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analysis, a seminorm is a vector space norm that need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the...

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Strong dual space

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X} is a locally convex space, the strong topology on the (continuous) dual space X ′ {\displaystyle X^{\prime }} (that is, on the space of all continuous...

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Convex function

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In mathematics, a real-valued function is called convex if the line segment between any two distinct points on the graph of the function lies above the...

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