On best quadrature formulas for evaluating curvilinear integrals for some classes of functions and curves (Q2343903)
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| Language | Label | Description | Also known as |
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| English | On best quadrature formulas for evaluating curvilinear integrals for some classes of functions and curves |
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On best quadrature formulas for evaluating curvilinear integrals for some classes of functions and curves (English)
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11 May 2015
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The problem is to find the optimal quadrature formula in the sense of Nikol'skii for integrals of \(f\) over a curve \(\Gamma=\{\mathbf{x}(t): 0\leq t\leq L\}\subset\mathbb{R}^m\). It is shown that if on \(\Gamma\), \(f\) satisfies \(|f(\mathbf{x})-f(\mathbf{y})|\leq \|\mathbf{x}-\mathbf{y}\|_p\), with \(p\) one of \(1,2,\infty\) and if the curve \(\Gamma\) has modulus of continuity \(\boldsymbol{\omega}=(\omega_1,\dots,\omega_m)\), then the midpoint rule for an equidistant partitioning of \([0,L]\) is optimal. The vector \(\boldsymbol{\omega}\) refers to the fact that \(\omega_i\) is the modulus of continuity for the \(i\)th component of \(\mathbf{x}\).
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curvilinear integral
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smooth curve
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quadrature formula
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mean rectangle formula
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modulus of continuity
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midpoint rule
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