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Best Approximation of a Differentiation Operator on the Set of Smooth Functions with Exactly or Approximately Given Fourier Transform

机译:具有精确或近似给定傅立叶变换的光滑函数集上的微分算子的最佳逼近

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Let Y~n, n ≥ 2, be the set of continuous bounded functions on the numerical axis with the following two properties: (1) the Fourier transform of a function is a function of bounded variation on the axis (in particular, a summable function); (2) a function is n — 1 times continuously differentiable, its derivative of order n — 1 is locally absolutely continuous, and the nth order derivative is bounded, more exactly, belongs to the space L_∞ In the space Y~n, consider the class Q~n of functions, for which the Loo-norm of the nth order derivative is bounded by a constant, for example, by 1. The following two approximation problems are discussed: the best approximation of the differentiation operator D~k of order k, 1 ≤ k < n, by bounded operators on the class Q~n and the optimal calculation of the differentiation operator D~k on functions from the class Q~n under the assumption that their Fourier transform is given with a known error in the space of functions of bounded variation, in particular, in the space L of functions summable on the axis. In interrelation with these two problems, we discuss the exact Kolmogorov type inequality in the space Y~n between the uniform norm of the Kth order derivative of a function, the variation of the Fourier transform of the function, and the L_∞-norm of its derivative of order n.
机译:令Y〜n,n≥2为数字轴上连续有界函数的集合,具有以下两个属性:(1)函数的傅立叶变换是轴上有界变化的函数(特别是可求和功能); (2)一个函数是n -1次连续可微,其n阶1的导数是局部绝对连续的,并且n阶导数有界,更确切地说,属于空间L_∞在空间Y〜n中,考虑函数的Q〜n类,其n阶导数的Loo范数以一个常数为界,例如以1为界。讨论了以下两个逼近问题:的微分算子D〜k的最佳逼近假设Q_n上的有界算子对阶k(1≤k

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