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Numerical problems arise from singularities in the integrand and from representation of an infinite integral by a finite sum.
A Marcinkiewicz type inequality is useful when we need to estimate (L_{p}) norms of a trigonometric polynomials by a finite sum.
Such symbols exist for example in the case that (sigma (xi)) is represented by a finite sum, and (beta_{k}in{mathbb {Q}}).
Given N observed samples {x 1,x 2,…,x N }, the expectation in (8) can be approximated by a finite sum.
This shows that by replacing the expectation operator by a finite sum over the realizations x k(n), we get the approximate maximum likelihood estimator, only we average over the sub-vectors x k(n).
(8) Equation (8) shows that the polynomial reproducing kernel function (R_{y}^{m}(x)) not only can easily be constructed by a finite sum of basis functions, also this kernel function and the associated reproducing kernel Hilbert space (Pi_{w}^{m}[a,b]) can easily be updated by increasing m.
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Recently Walczak[2] proposed and studied the Szász-Mirakyan operators by considering a finite sum.
By establishing a finite sum inequality based on quadratic terms, a new delay-dependent bounded real lemma (BRL) for delayed singular systems is derived.
Practical implementation requires the truncation of the exact boundary condition by approximating an infinite sum with a finite sum, and by terminating an infinite recursion relation.
Lemma 4.6 The inequality { 1 2 π ∫ 0 2 π | ∫ a b g ( x, t ) d t | r d x } 1 / r ≤ ∫ a b { 1 2 π ∫ 0 2 π | g ( t, x ) | r d x } 1 / r d t. is known as generalized Minkowski's inequality where the generalization is simply replacing a finite sum by a definite (Lebesgue) integral (see Chui [16]).
First, we recall the notion of a finite sum '⊕' defined by Butsan et al. [4].
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Justyna Jupowicz-Kozak
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