Hermite型多元样本定理及Sobolev类上混淆误差的估计

本文证明了Hermite型多元样本定理,并由此确定了Sobolev类上混淆误差阶的精确估计．     

多元样本定理及混淆误差的估计

本文证明了多元指数型整函数的一个Ｍａｒｃｉｎｋｉｅｗｉｃａ型不等式，并由此证得了多元Ｗｈｉｔｔａｋｅｒ－Ｋｏｔｅｌｎｉｋｏｖ－Ｓｈａｎｎｏｎ型的样本定理，从而得到了多元Ｓｏｂｏｌｅｖ类上的混淆误差界的阶的精确估计。     

多元非正规样本定理

本文研究了多元指数型整函数在非等距节点的Marcinkiewicz-Zygmund型不等式.据此,得到了多元非正规样本定理.     

非有限带函数由Hermite型多元样本定理的重构

In this paper, we prove that under some restricted conditions, the non-bandiimited functions can be reconstructed by the multidimensional sampling theorem of Hermite type in the space of Lp（R^n）, 1 〈 p 〈 ∞.     

拟Hermite插值对解析函数类的逼近误差

在最大框架下研究基于第二类Tchebyshev节点组的拟Hermite插值算子和Hermite插值算子对一个解析函数类的逼近误差.对于一致范数,我们得到了相应量的精确值.对于L_p-范数(1≤p∞),我们得到了相应量的值或强渐近阶.     

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.     

伪多元函数的Thiele型有理插值

根据伪多元函数的特性,主要讨论了伪多元函数的Thiele型有理插值,并给出了Thiele型有理插值的误差.     

多元向量函数的中值定理及应用

中值定理是可微函数的重要性质,是证明某些等式和不等式的重要工具,而等式形式的向量函数的微分中值定理一般是不成立的,通常只能得到微分中值不等式.本文从一元函数的Newton-Leibniz公式出发,证明了一个多元向量函数等式形式的积分型中值定理.该定理揭示了多元向量函数等式形式的微分中值定理不成立的原因,也蕴含了微分中值不等式.     

竖线型结点组上的插值及向高维情形的推广

本文讨论了Ｒ＾２中竖线型结点组插值的适定性，得到了相应的插值多项式，并将这些结果推广到Ｒ＾ｓ（ｓ〉２）的情形。     

三角形单元上二次Lagrange型插值多项式与被插函数的误差估计

冯康在文［２］中证明了三角形单元Ｃ上一次Ｌａｇｒａｎｇｅ型插值函数Ｕ与被插函数ｕ的误差估计为：这里θ为三角单元Ｃ的最大内角，ｈ为最大边长．本文将该结果推广至二次Ｌａｇｒａｎｇｅ型插值多项式。并得到了相应的误差估计。     

Aliasing Error of Sampling Series in Wavelet Subspaces

Alising error arises whenever a sampling formula, valid for a prescribed space, is applied to a function in a bigger space. In this work, we estimate the aliasing error of classic and average sampling expansions in wavelet subspaces of a multiresolution analysis.     

Simultaneous Approximation of Sobolev Classes by Piecewise Cubic Hermite Interpolation

For the approximation in $L_p$-norm, we determine the weakly asymptotic orders for the simultaneous approximation errors of Sobolev classes by piecewise cubic Hermite interpolation with equidistant knots. For $p = 1$, $∞$, we obtain its values. By these results we know that for the Sobolev classes, the approximation errors by piecewise cubic Hermite interpolation are weakly equivalent to the corresponding infinite-dimensional Kolmogorov widths. At the same time, the approximation errors of derivatives are weakly equivalent to the corresponding infinite-dimensional Kolmogorov widths.     

Error Estimates for Mixed Finite Element Methods for Sobolev Equation

1 IntroductionLet fl be a bounded domain in R2 with Lipschitz continuous boundaxy 0fl. For thed0 < T < co, we consider the fo1lowing initial-boun'lar}-ralue problem for thc Sobolevequation:where ut denotes the time derivative of the function (1. Vu denotes the gradient of thefunction u, and divv denotes the divergence of the vect{Jr tulued function v, a1 b1, f, anduo are known functions.The standard finite element method for (1.1) (1.3) llas received considerable attentionand is well studied…     

Sampling theorem of Hermite type and aliasing error on the Sobolev class of functions

Denote by B _2σ,p (1 < p < ∞) the bandlimited class p-integrable functions whose Fourier transform is supported in the interval [−σ, σ]. It is shown that a function in B _2σ,p can be reconstructed in L _p(ℝ) by its sampling sequences {f (κπ / σ)} _κ∈ℤ and {f’ (κπ / σ)} _κ∈ℤ using the Hermite cardinal interpolation. Moreover, it will be shown that if f belongs to L _p ^r (ℝ), 1 < p < ∞, then the exact order of its aliasing error can be determined. Project supported by the Scientific Research Common Program of Beijing Municipal Commission of Education under grant number KM 200410009010 and by the Natural Science Foundation of China under grant number 10071006     

Properties of Extrema of Estimates for Middle Derivatives of Odd Order in Sobolev Classes

Doklady Mathematics - The embedding constants for the Sobolev spaces $$\overset{\circ} {W_{2}^{n}} $$ [0; 1] ↪ $$\mathop {W_{\infty }^{k}}\limits^{\circ} $$ [0; 1] ( $$0 \leqslant k \leqslant...     

Small Ball Estimates for Gaussian Processes under Sobolev Type Norms

A sharp small ball estimate under Sobolev type norms is obtained for certain Gaussian processes in general and for fractional Brownian motions in particular. New method using the techniques in large deviation theory is developed for small ball estimates. As an application the Chung's LIL for fractional Brownian motions is given in this setting.     

Direct and Inverse Sobolev Error Estimates for Scattered Data Interpolation via Spherical Basis Functions

The purpose of this paper is to get error estimates for spherical basis function (SBF) interpolation and approximation for target functions in Sobolev spaces less smooth than the SBFs, and to show that the rates achieved are, in a sense, best possible. In addition, we establish a Bernstein-type theorem, where the smallest separation between data sites plays the role of a Nyquist frequency. We then use these Berstein-type estimates to derive inverse estimates for interpolation via SBFs.