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  2. 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 ().

  3. Dual norm - Wikipedia

    en.wikipedia.org/wiki/Dual_norm

    The Frobenius norm defined by ‖ ‖ = = = | | = ⁡ = = {,} is self-dual, i.e., its dual norm is ‖ ‖ ′ = ‖ ‖.. The spectral norm, a special case of the induced norm when =, is defined by the maximum singular values of a matrix, that is, ‖ ‖ = (), has the nuclear norm as its dual norm, which is defined by ‖ ‖ ′ = (), for any matrix where () denote the singular values ...

  4. L-infinity - Wikipedia

    en.wikipedia.org/wiki/L-infinity

    In mathematics, , the (real or complex) vector space of bounded sequences with the supremum norm, and = (,,), the vector space of essentially bounded measurable functions with the essential supremum norm, are two closely related Banach spaces. In fact the former is a special case of the latter.

  5. L2 - Wikipedia

    en.wikipedia.org/wiki/L2

    The L 2 space of square-integrable functions; L 2 norm; The ℓ 2 space of square-summable sequences; L 2 cohomology, a cohomology theory for smooth non-compact manifolds with Riemannian metric; L 2 (n), the family of 2-dimensional projective special linear groups on finite fields. Ridge regression, regression and regularization method also ...

  6. Norm (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Norm_(mathematics)

    In mathematics, a norm is a function from a real or complex vector space to the non-negative real numbers that behaves in certain ways like the distance from the origin: it commutes with scaling, obeys a form of the triangle inequality, and is zero only at the origin.

  7. Riesz–Fischer theorem - Wikipedia

    en.wikipedia.org/wiki/Riesz–Fischer_theorem

    The Riesz–Fischer theorem also applies in a more general setting. Let R be an inner product space consisting of functions (for example, measurable functions on the line, analytic functions in the unit disc; in old literature, sometimes called Euclidean Space), and let {} be an orthonormal system in R (e.g. Fourier basis, Hermite or Laguerre polynomials, etc. – see orthogonal polynomials ...

  8. Carleson's theorem - Wikipedia

    en.wikipedia.org/wiki/Carleson's_theorem

    (Here log + (L) is log(L) if L > 1 and 0 otherwise, and if φ is a function then φ(L) stands for the space of functions f such that φ(| f(x) |) is integrable.) Konyagin (2000) improved Kolmogorov's counterexample by finding functions with everywhere-divergent Fourier series in a space slightly larger than Llog + (L) 1/2. One can ask if there ...

  9. Locally integrable function - Wikipedia

    en.wikipedia.org/wiki/Locally_integrable_function

    The classical definition of a locally integrable function involves only measure theoretic and topological [4] concepts and can be carried over abstract to complex-valued functions on a topological measure space (X, Σ, μ): [5] however, since the most common application of such functions is to distribution theory on Euclidean spaces, [2] all ...