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  2. Measurable function - Wikipedia

    en.wikipedia.org/wiki/Measurable_function

    Real-valued functions encountered in applications tend to be measurable; however, it is not difficult to prove the existence of non-measurable functions. Such proofs rely on the axiom of choice in an essential way, in the sense that Zermelo–Fraenkel set theory without the axiom of choice does not prove the existence of such functions.

  3. Direct integral - Wikipedia

    en.wikipedia.org/wiki/Direct_integral

    The simplest example of a direct integral are the L 2 spaces associated to a (σ-finite) countably additive measure μ on a measurable space X. Somewhat more generally one can consider a separable Hilbert space H and the space of square-integrable H-valued functions (,).

  4. Lp space - Wikipedia

    en.wikipedia.org/wiki/Lp_space

    In mathematics, the L p spaces are function spaces defined using a natural generalization of the p-norm for finite-dimensional vector spaces.They are sometimes called Lebesgue spaces, named after Henri Lebesgue (Dunford & Schwartz 1958, III.3), although according to the Bourbaki group (Bourbaki 1987) they were first introduced by Frigyes Riesz ().

  5. Vitali convergence theorem - Wikipedia

    en.wikipedia.org/wiki/Vitali_convergence_theorem

    When () <, a set of functions (,,) is uniformly integrable if and only if it is bounded in (,,) and has uniformly absolutely continuous integrals. If, in addition, μ {\displaystyle \mu } is atomless, then the uniform integrability is equivalent to the uniform absolute continuity of integrals.

  6. Convergence of measures - Wikipedia

    en.wikipedia.org/wiki/Convergence_of_measures

    For (,) a measurable space, a sequence μ n is said to converge setwise to a limit μ if = ()for every set .. Typical arrow notations are and .. For example, as a consequence of the Riemann–Lebesgue lemma, the sequence μ n of measures on the interval [−1, 1] given by μ n (dx) = (1 + sin(nx))dx converges setwise to Lebesgue measure, but it does not converge in total variation.

  7. Convergence in measure - Wikipedia

    en.wikipedia.org/wiki/Convergence_in_measure

    If X = [a,b] ⊆ R and μ is Lebesgue measure, there are sequences (g n) of step functions and (h n) of continuous functions converging globally in measure to f. If f and f n (n ∈ N) are in L p (μ) for some p > 0 and (f n) converges to f in the p-norm, then (f n) converges to f globally in measure. The converse is false.

  8. Hilbert space - Wikipedia

    en.wikipedia.org/wiki/Hilbert_space

    The problem is a differential equation of the form [()] + = for an unknown function y on an interval [a, b], satisfying general homogeneous Robin boundary conditions {() + ′ ′ = + ′ ′ =. The functions p, q, and w are given in advance, and the problem is to find the function y and constants λ for which the equation has a solution.

  9. Riemann–Lebesgue lemma - Wikipedia

    en.wikipedia.org/wiki/Riemann–Lebesgue_lemma

    In mathematics, the Riemann–Lebesgue lemma, named after Bernhard Riemann and Henri Lebesgue, states that the Fourier transform or Laplace transform of an L 1 function vanishes at infinity. It is of importance in harmonic analysis and asymptotic analysis .