多元多项式样条在L-p(R+d)度下的极值性质

构造了一类连续的多项式样条算子来代替常用的多元Cardinal多项式样条插值算子作为 Rd上多元函数的逼近工具, 得到了这种样条算子的逼近误差, 由此结果, 得到多元多项式样条空间是一些 Rd上的Sobolev光滑函数类在Lp范数下的Kolmogorov 宽度及线性宽度的弱渐近极子空间.     

Lagrange插值和Hermite-Fejér插值在Wiener空间下的平均误差

在L_q-范数逼近的意义下,确定了基于Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差的弱渐近阶.从我们的结果可以看出,当2≤q<∞,1≤p<∞时,基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列的p-平均误差弱等价于相应的最佳逼近多项式列的p-平均误差.在信息基计算复杂性的意义下,如果可允许信息泛函为计算函数在固定点的值,那么当1≤p,q<∞时,基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差弱等价于相应的最小非自适应p-平均信息半径.     

多元多项式样条在Lp(Rd)尺度下的极值性质

构造了一类连续的多项式样条算子来代替常用的多元Cardinal多项式样条插值算子作为R^d上多元函数的逼近工具, 得到了这种样条算子的逼近误差, 由此结果, 得到多元多项式样条空间是一些R^d上的Sobolev光滑函数类在Lp范数下的Kolmogorov 宽度及线性宽度的弱渐近极子空间.     

关于Hasson的一个定理的推广

§1 引言记C_([-1,1])是[-1,1]上的连续函数全体,C_(2π)是具有2π周期的连续函数类,本文有时将C_([-1,1])写为L_([-1,1])~∞,C_(2π)。写为L_(2π)~∞,L_([-1.1])~p是[-1,1]上的p次幂可积函数全体,L_(2π)~p是有2π周期的p次幂可积函数类,[a,b]区间上X尺度下的范数写作‖·‖x[a,b]·以下的记号也是熟知的: E_n(f)_p,是[-1,1)上n次代数多项式在L~p尺度下对,f(x)∈L_([-1.1])~p的最佳通近; E_n~·(f)_p,是n阶三角多项式在L~p尺度下对,f(x)∈L_2π~p的最佳通近; W_k(f)_p是f(x)在L~p尺度下的k阶光滑模。     

Lagrange插值和Hermite-Fejér插值在Wiener空间下的平均误差

在Lq-范数逼近的意义下，确定了基于Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差的弱渐近阶．从我们的结果可以看出，当2≤q〈∞，1≤p〈∞时，基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite—Fejér插值多项式列的p-平均误差弱等价于相应的最佳逼近多项式列的p-平均误差．在信息基计算复杂性的意义下，如果可允许信息泛函为计算函数在固定点的值，那么当1≤p，q〈∞时，基于第一类Chebyshev多项式零点的Lagrange插值多项式列和Hermite-Fejér插值多项式列在Wiener空间下的p-平均误差弱等价于相应的最小非自适应p-平均信息半径．     

|x|在调整的第三类Chebyshev结点的有理逼近问题研究CSCD

1引言非光滑函数|x|在逼近论中起着非常重要的作用.Bernstein[1]在1913年,最先用n次代数多项式逼近|x|,得到确切的逼近阶为E(|x|)=O(1/n).Newman[2]在1964年发现R(|x|)远远优于其多项式的最佳逼近E(|x|).     

推广的Grunwald插值在LBaM,ω空间中的逼近

本文研究了推广的Grunwald插值算子在LBaM,ω空间中的逼近.利用Orlicz空间范数和LBaM空间范数关系的不等式,以第一类Chebyshev多项式的零点为结点时,获得了两类推广的Grunwald插值算子在加权的LBaM,ω空间中的逼近阶.     

Lagrange插值在—重积分Wiener空间下的同时逼近平均误差

在加权L_p范数逼近意义下,确定了基于扩充的第二类Chebyshev结点组的Lagrange插值多项式列,在一重积分Wiener空间下同时逼近平均误差的渐近阶.结果显示,在L_p范数逼近意义下,Lagrange插值多项式列逼近函数及其导数的平均误差都弱等价于相应的最佳逼近多项式列的平均误差.同时,在信息基复杂性的意义下,若可允许信息泛函为标准信息,则上述插值算子列逼近函数及其导数的平均误差均弱等价于相应的最小非自适应信息半径.     

第二类 Hermite-Fejér多项式逼近度

近在[3]中验证了该多项式对这类函数的逼近效果也是很好的,它与最佳逼近多项式的逼近效果不相上下. 关于第二类eeb多项式零点作插值点时,稳定插值多项式(我们称其为第二类Hermite-Fejer多项式)的结果不多.最近见到Bojanic,Prasad和Saxena的结果,他们验证了第二类 Hermite-Fejer多项式(表达式的推导见[5]中的(1)):     

保凸性的代数多项式在L中的逼近

设f(x)∈L[-1,1].以∏_n表示阶不超过n的代数多项式的全体.我们已经熟知∏_n关于f(x)在L中的最佳逼近E_(f)_L可以用它的L中的k阶光滑模w_k(f,1/n)_L来刻划的事实:但是,当被逼近的函数f(x)是凸函数时,如果我们限制去逼近的代数多项式也是凸的,那么对于相应的逼近度能得到什么样的估计呢?以∏_n~*表示∏_n中的所有凸的多项式的全体.     

用样条逼近Sobolev函数类W_p~1(R)的逼近误差

作者研究了定义在全实轴上的Sobolev函数类W_p~1(R)的逼近问题.以一次样条函数作为逼近工具,给出了p=1和p=∞时的逼近误差.     

Decomposition theorems and approximation by a ``floating" system of exponentials

The main problem considered in this paper is the approximation of a trigonometric polynomial by a trigonometric polynomial with a prescribed number of harmonics. The method proposed here gives an opportunity to consider approximation in different spaces, among them the space of continuous functions, the space of functions with uniformly convergent Fourier series, and the space of continuous analytic functions. Applications are given to approximation of the Sobolev classes by trigonometric polynomials with prescribed number of harmonics, and to the widths of the Sobolev classes. This work supplements investigations by Maiorov, Makovoz and the author where similar results were given in the integral metric.

     

ON THE GENERALIZATIONS OF KALANDIA''''S LEMMA

Based on Bernstein's Theorem, Kalandia's Lemma describes the error estimate and the smoothness of the remainder under the second part of Holder norm when a Holder function is approximated by its best polynomial approximation. In this paper, Kalandia's Lemma is generalized to the cases that the best polynomial is replaced by one of its four kinds of Chebyshev polynomial expansions, the error estimates of the remainder are given out under Holder norm or the weighted Holder norms.     

Tractability through increasing smoothness

We prove that some multivariate linear tensor product problems are tractable in the worst case setting if they are defined as tensor products of univariate problems with logarithmically increasing smoothness. This is demonstrated for the approximation problem defined over Korobov spaces and for the approximation problem of certain diagonal operators. For these two problems we show necessary and sufficient conditions on the smoothness parameters of the univariate problems to obtain strong polynomial tractability. We prove that polynomial tractability is equivalent to strong polynomial tractability, and that weak tractability always holds for these problems. Under a mild assumption, the Korobov space consists of periodic functions. Periodicity is crucial since the approximation problem defined over Sobolev spaces of non-periodic functions with a special choice of the norm is not polynomially tractable for all smoothness parameters no matter how fast they go to infinity. Furthermore, depending on the choice of the norm we can even lose weak tractability.     

Polynomial approximation in Sobolev spaces on the unit sphere and the unit ball

This work is a continuation of the recent study by the authors on approximation theory over the sphere and the ball. The main results define new Sobolev spaces on these domains and study polynomial approximations for functions in these spaces, including simultaneous approximation by polynomials and the relation between the best approximation of a function and its derivatives.     

最坏框架与平均框架下区间[1,1]上带Jacobi权的函数逼近

本文研究最坏框架和平均框架下区间[1,1]上带Jocobi权(1 x)α(1+x)β,α,β1/2的函数逼近问题.在最坏框架下,本文得到加权Sobolev空间BWr p,α,β在Lq,α,β(1 q∞)空间尺度下的Kolmogorov n-宽度和线性n-宽度的渐近最优阶,其中Lq,α,β(1 q∞)表示区间[1,1]上带Jacobi权的加权Lq空间.在平均框架下,本文研究具有Gauss测度的加权Sobolev空间Wr2,α,β被多项式子空间和Fourier部分和算子在Lq,α,β(1 q∞)空间尺度下的最佳逼近问题,得到平均误差估计的渐近阶.我们发现,在平均框架下,多项式子空间和Fourier部分和算子在Lq,α,β(1 q2+22 max{α,β}+1)空间尺度下是渐近最优的线性子空间和渐近最优的线性算子.     

ON THE GENERALIZATIONS OF KALANDIA＇S LEMMA

Based on Bernstein＇s Theorem, Kalandia＇s Lemma describes the error estimate and the smoothness of the remainder under the second part of Hoelder norm when a HSlder function is approximated by its best polynomial approximation. In this paper, Kalandia＇s Lemma is generalized to the cases that the best polynomial is replaced by one of its four kinds of Chebyshev polynomial expansions, the error estimates of the remainder are given out under Hoeder norm or the weighted HSlder norms.     

Coincidence of classes of functions defined by the generalized shift operator or by the order of best polynomial approximation

In this paper the coincidence of two classes of functions is proved. One of them is determined by the power order of best polynomial approximation. To define the other class, first a new nonsymmetric generalized shift operator is introduced, and next, with its help we introduce a generalized modulus of continuity whose power order determines the second class of functions. Translated fromMatematicheskie Zametki, Vol. 66, No. 2, pp. 242–257, August, 1999.     

On estimates of approximation numbers and best bilinear approximation

We obtain estimates of approximation numbers of integral operators, with the kernels belonging to Sobolev classes or classes of functions with bounded mixed derivatives. Along with the estimates of approximation numbers, we also obtain estimates of best bilinear approximation of such kernels.Communicated by Charles A. Micchelli.     

Some extremal properties of multivariate polynomial splines in the metric Lp (Rd )

We constructed a kind of continuous multivariate spline operators as the approximation tools of the multivariate functions on the Bd instead of the usual multivariate cardinal interpolation oper-ators of splines, and obtained the approximation error by this kind of spline operators. Meantime, by the results, we also obtained that the spaces of multivariate polynomial splines are weakly asymptoti-cally optimal for the Kolmogorov widths and the linear widths of some anisotropic Sobolev classes of smooth functions on Bd in the metric Lp(Bd).