Lebesgue constants
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1: 1.8 Fourier Series
2: 3.11 Approximation Techniques
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►to the maximum error of the minimax polynomial is bounded by , where is the th Lebesgue constant for Fourier series; see §1.8(i).
… Moreover, the set of minimax approximations requires the calculation and storage of coefficients, whereas the corresponding set of Chebyshev-series approximations requires only coefficients.
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3: Bibliography F
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Asymptotic expansions of the Lebesgue constants for Jacobi series.
Pacific J. Math. 122 (2), pp. 391–415.
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4: 2.4 Contour Integrals
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►Then
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►Then the Laplace transform
…where () is a constant.
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►If this integral converges uniformly at each limit for all sufficiently large , then by the Riemann–Lebesgue lemma (§1.8(i))
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5: 18.39 Applications in the Physical Sciences
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►Below we consider two potentials with analytically known eigenfunctions and eigenvalues where the spectrum is entirely point, or discrete, with all eigenfunctions being and forming a complete set.
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►The spectrum is mixed, as in §1.18(viii), the positive energy, non-, scattering states are the subject of Chapter 33.
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►with an infinite set of orthonormal eigenfunctions
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►The bound state eigenfunctions of the radial Coulomb Schrödinger operator are discussed in §§18.39(i) and 18.39(ii), and the -function normalized (non-) in Chapter 33, where the solutions appear as Whittaker functions.
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►The fact that non- continuum scattering eigenstates may be expressed in terms or (infinite) sums of functions allows a reformulation of scattering theory in atomic physics wherein no non- functions need appear.
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6: 1.18 Linear Second Order Differential Operators and Eigenfunction Expansions
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§1.18(ii) spaces on intervals in
… ►For a Lebesgue–Stieltjes measure on let be the space of all Lebesgue–Stieltjes measurable complex-valued functions on which are square integrable with respect to , …The space becomes a separable Hilbert space with inner product … ►Eigenfunctions corresponding to the continuous spectrum are non- functions. … ►The well must be deep and broad enough to allow existence of such discrete states. …7: 1.16 Distributions
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►where and are real or complex constants.
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►, a function on which is absolutely Lebesgue integrable on every compact subset of ) such that
…More generally, for a nondecreasing function the corresponding Lebesgue–Stieltjes measure (see §1.4(v)) can be considered as a distribution:
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►where is a constant.
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►Since is the Lebesgue–Stieltjes measure corresponding to (see §1.4(v)), formula (1.16.16) is a special case of (1.16.3_5), (1.16.9_5) for that choice of .
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8: 2.10 Sums and Sequences
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►Formula (2.10.2) is useful for evaluating the constant term in expansions obtained from (2.10.1).
…where is Euler’s constant (§5.2(ii)) and is the derivative of the Riemann zeta function (§25.2(i)).
is sometimes called Glaisher’s constant.
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►where () is a real constant, and
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►Hence by the Riemann–Lebesgue lemma (§1.8(i))
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9: 1.5 Calculus of Two or More Variables
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►that is, for every arbitrarily small positive constant
there exists () such that
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►In particular, and can be constants.
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►Moreover, if are finite or infinite constants and is piecewise continuous on the set , then
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►A more general concept of integrability (both finite and infinite) for functions on domains in is Lebesgue integrability.
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10: 18.2 General Orthogonal Polynomials
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►More generally than (18.2.1)–(18.2.3), may be replaced in (18.2.1) by , where the measure is the Lebesgue–Stieltjes measure corresponding to a bounded nondecreasing function on the closure of with an infinite number of points of increase, and such that for all .
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