关于区间上的有理Abel–Poisson均值和Markov函数的逼近

P. Patseika, Y. Rouba
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引用次数: 0

摘要

研究了在固定数量的几何不同极点的情况下,与代数分数的Chebyshev–Markov系统相关的傅立叶型有理积分算子的Abel–Poisson和对Markov函数的[−1,1]段的近似。给出了近似的积分表示和一致近似的估计。研究了当测度µ满足条件suppµ=[1,a],a>1,dµ(t)=φ(t)dt和φ(t。找到了多数具有最高下降率的参数的最优值。作为一个推论,通过研究一些初等马尔可夫函数的有理逼近方法,给出了区间[-1,1]上近似的渐近估计。
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On rational Abel – Poisson means on a segment and approximations of Markov functions
Approximations on the segment [−1, 1] of Markov functions by Abel – Poisson sums of a rational integral operator of Fourier type associated with the Chebyshev – Markov system of algebraic fractions in the case of a fixed number of geometrically different poles are investigated. An integral representation of approximations and an estimate of uniform approximations are found. Approximations of Markov functions in the case when the measure µ satisfies the conditions suppµ = [1, a], a > 1, dµ(t) = φ(t)dt and φ(t) ≍ (t − 1)α on [1, a], a are studied and estimates of pointwise and uniform approximations and the asymptotic expression of the majorant of uniform approximations are obtained. The optimal values of the parameters at which the majorant has the highest rate of decrease are found. As a corollary, asymptotic estimates of approximations on the segment [−1, 1] are given by the method of rational approximation of some elementary Markov functions under study.
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CiteScore
0.50
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0.00%
发文量
21
审稿时长
16 weeks
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