1990
DOI: 10.1007/bf01386402
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Characterization of the speed of convergence of the trapezoidal rule

Abstract: Summary. Our aim is to determine the precise space of functions for which the trapezoidal rule converges with a prescribed rate as the number of nodes tends to infinity. Excluding or controlling odd functions in some way it is possible to establish a correspondence between the speed of convergence and regularity properties of the function to be integrated. In this way we characterize Sobolev spaces, certain spaces of infinitely differentiable functions, of functions holomorphic in a strip, of entire functions … Show more

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Cited by 50 publications
(29 citation statements)
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“…is in ℓ 2 by Lemma 4 of [31], p. 131. Thus, using the Poisson summation formula (1.23), 15) which is more than enough to prove that the series ∞ j=1 jR j (f ) 2 is convergent.…”
Section: Proofs Of Corollary 14 and The Poisson Summation Formulamentioning
confidence: 85%
See 1 more Smart Citation
“…is in ℓ 2 by Lemma 4 of [31], p. 131. Thus, using the Poisson summation formula (1.23), 15) which is more than enough to prove that the series ∞ j=1 jR j (f ) 2 is convergent.…”
Section: Proofs Of Corollary 14 and The Poisson Summation Formulamentioning
confidence: 85%
“…First, we can control directly the size of the R j 's by Jackson type inequalities as in [10], [13] or [31]. Or we may use the Poisson summation formula given in (1.23) and use the decay of the Fourier coefficients of f .…”
Section: The Case Of Unbounded Variance Gaussian Limitsmentioning
confidence: 99%
“…For the differential equation of time (9), we approximate it by using a trapezoidal integration rule [19], written as the following equation…”
Section: A the Mixed Logical Dynamic (Mld) Modelmentioning
confidence: 99%
“…The MLD model is subject to the linear constraints (19), (20), and (21), which can be written more compactly as…”
Section: A the Mixed Logical Dynamic (Mld) Modelmentioning
confidence: 99%
“…Let us, by analogy with [6], consider the space C ∞ ( , a, N m ) of functions f : R → C of period 1 and their Fourier coefficients satisfying the inequality…”
Section: Error Analysismentioning
confidence: 99%