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  2. Weak topology - Wikipedia

    en.wikipedia.org/wiki/Weak_topology

    Both the weak topology and the weak* topology are special cases of a more general construction for pairings, which we now describe.The benefit of this more general construction is that any definition or result proved for it applies to both the weak topology and the weak* topology, thereby making redundant the need for many definitions, theorem statements, and proofs.

  3. Weak convergence (Hilbert space) - Wikipedia

    en.wikipedia.org/wiki/Weak_convergence_(Hilbert...

    The definition of weak convergence can be extended to Banach spaces. A sequence of points ( x n ) {\displaystyle (x_{n})} in a Banach space B is said to converge weakly to a point x in B if f ( x n ) → f ( x ) {\displaystyle f(x_{n})\to f(x)} for any bounded linear functional f {\displaystyle f} defined on B {\displaystyle B} , that is, for ...

  4. Weak convergence - Wikipedia

    en.wikipedia.org/wiki/Weak_convergence

    In mathematics, weak convergence may refer to: Weak convergence of random variables of a probability distribution; Weak convergence of measures, of a sequence of probability measures; Weak convergence (Hilbert space) of a sequence in a Hilbert space more generally, convergence in weak topology in a Banach space or a topological vector space

  5. Convergence of measures - Wikipedia

    en.wikipedia.org/wiki/Convergence_of_measures

    This definition of weak convergence can be extended for any metrizable topological space. It also defines a weak topology on (), the set of all probability measures defined on (,). The weak topology is generated by the following basis of open sets:

  6. Operator topologies - Wikipedia

    en.wikipedia.org/wiki/Operator_topologies

    (Warning: the weak Banach space topology and the weak operator topology and the ultraweak topology are all sometimes called the weak topology, but they are different.) The Mackey topology or Arens-Mackey topology is the strongest locally convex topology on B( H ) such that the dual is B( H ) * , and is also the uniform convergence topology on ...

  7. Tightness of measures - Wikipedia

    en.wikipedia.org/wiki/Tightness_of_measures

    Tightness is often a necessary criterion for proving the weak convergence of a sequence of probability measures, especially when the measure space has infinite dimension. See Finite-dimensional distribution; Prokhorov's theorem; Lévy–Prokhorov metric; Weak convergence of measures; Tightness in classical Wiener space; Tightness in Skorokhod space

  8. Finite measure - Wikipedia

    en.wikipedia.org/wiki/Finite_measure

    The corresponding topology is called weak topology and is the initial topology of all bounded continuous functions on . The weak topology corresponds to the weak* topology in functional analysis. If X {\displaystyle X} is also separable , the weak convergence is metricized by the Lévy–Prokhorov metric .

  9. Convergence space - Wikipedia

    en.wikipedia.org/wiki/Convergence_space

    Convergence spaces generalize the notions of convergence that are found in point-set topology, including metric convergence and uniform convergence. Every topological space gives rise to a canonical convergence but there are convergences, known as non-topological convergences , that do not arise from any topological space. [ 1 ]