Polynomial convergence order of stochastic Bernstein approximation

被引:8
|
作者
Wu, Zongmin [1 ,2 ]
Zhou, Xuan [1 ]
机构
[1] Fudan Univ, Shanghai Key Lab Contemporary Appl Math, Sch Math Sci, Shanghai, Peoples R China
[2] Shanghai Ctr Math Sci, Shanghai, Peoples R China
基金
美国国家科学基金会;
关键词
Stochastic sampling; Bernstein polynomial; Finite difference; Higher-order moments; Polygamma function;
D O I
10.1007/s10444-020-09742-w
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Recently, authors of Wu et al. (Adv. Comput. Math. 38:187-205, 2013) studied a Bernstein polynomial approximation scheme based on stochastic sampling and obtained a sixth-order moment estimate for the underlying random variable in terms of the modulus of continuity. In the current paper, we employ a new technique and establish estimates for all the even-order moments. Our work gives a strong indication that the probabilistic convergence rate of the stochastic Bernstein approximation is exponential with respect to the modulus of continuity, which we leave as a conjecture at the end of the paper.
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页数:14
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