具有Gauss测度的Sobolev空间上的函数逼近

本文讨论了具有Gauss测度的Sobolev空间上的一元周期函数被三角多项式子空间的最佳逼近及被Fourier部分和算子,Vallée—Poussin算子,Ceshxo算子,Abel算子和Jackson算子的逼近,得到了平均误差估计．证明了在平均框架下,在Lq（1≤q〈∞）空间尺度下三角多项式子空间是渐进最优的子空间,但是在L∞空间尺度下,三角多项式子空间不是渐进最优的子空间．还证明了,Fourier部分和算子和Vallée-Poussin算子在Lq（1≤q≤∞）空间尺度下是渐进最优的线性算子．注意到在平均框架以及Lq（1≤q〈∞）空间尺度下,渐进最优的线性算子,如Fourier部分和算子及Vallée—Poussin算子,与最优的非线性算子的逼近效果一样好．     

一类准凸映照族的偏差定理及de la Vallée Poussin均值

本文建立了一类准凸映照族的Fréchet导数型和行列式型偏差定理.同时,本文将单位圆盘上凸函数的de la Vallée Poussin均值性质推广到高维空间,所得结果是单复变中的经典结论在多复变中的拓广.     

Error analysis of multicategory support vector machine classifiers

The paper is related to the error analysis of Multicategory Support Vector Machine (MSVM) classifiers based on reproducing kernel Hilbert spaces. We choose the polynomial kernel as Mercer kernel and give the error estimate with De La Vallée Poussin means. We also introduce the standard estimation of sample error, and derive the explicit learning rate.     

球面神经网络的构造与逼近

研究球面神经网络的构造与逼近问题.利用球面广义的de la Vallee Poussin平均、球面求积公式及改进的单变量Cardaliaguet-Euvrard神经网络算子,构造具logistic激活函数的单隐层前向网络,并给出了Jackson型误差估计.     

Qp空间中的de la Vallée Poussin平均

本文研究了单位球上的Q_p空间中的de la Vallée Poussin平均算子,并通过高阶光滑模来建立Jackson逼近定理.此外,我们还得到了Bernstein不等式,K-泛函和光滑模的等价刻画等结果.     

Vallée-Poussin算子逼近连续函数的最优估计

通过将Vallée-Poussin算子逼近连续函数的能力转化为对辅助数列{g(n)}的上确界的计算,首先利用数列单调有界定理证明辅助数列极限的存在性,之后借助夹逼准则求得辅助数列{g(n)}的极限,即数列{g(n)}的上确界,进而得到Vallée-Poussin算子逼近连续函数的最优估计常数.     

联合最佳逼近

本文研究了二元函数用紧Hausdorff空间上的连续函数集的联合逼近问题,建立了包括特征定理、唯一性定理、强唯一性定理和dela Vallée Poussin定理在内的Chebyshev逼近理论。给出了求解最佳逼近元的Remes型第一算法和两种一般的简化方法。     

一类球面带形平移网络算子的逼近

借助于球调和多项式的de la Vallée Poussin和构造出了单位球面S^q上一类带形平移网络算子，并给出了其对L^p(S^q)中函数一致逼近的收敛速度.      

共正逼近的交错定理

我们研究了Passow和Taylor在[2]中的关于共正逼近的交错理论的两个主要定理.本文将其定理2推广到包括含有变号区间的连续函数在内的一般情形.此外,我们还证明了de La Vallee Poussin定理,强唯一性定理和在空间C[a,b]的一个子集上的连续定理.并且给出了一个例子表明最佳共正逼近算子在空间C[a,b]上的非连续性.     

最佳混合范数逼近

本文研究了两变量函数 f(x,y)用单变量函数 g(x)作混合范数逼近问题,即求g~*(x)∈G,G 是一 Haar 子空间,使(?)integral from Y|f(x,y)-g~*(x)|dμ=(?)integral from Y|f((?),y)-g(x)|dμ我们建立了包括交错定理、de la Vallee Poussin 定理、唯一性定理和强唯一性定理在内的 Chebyshev 逼近理论。     

Representability ofGL E

We prove a necessary and sufficient condition for the automorphisms of a coherent sheaf to be representable by a group scheme.     

A New Functor from E 6-mod to E 7-mod

We find a new representation of the simple Lie algebra of type E ₇ on the polynomial algebra in 27 variables. Using this representation and Shen's idea of mixed product, we construct a new functor from E ₆-Mod to E ₇-Mod. A condition for the functor to map a finite-dimensional irreducible E ₆-module to an infinite-dimensional irreducible E ₇-module is obtained. Our general framework also gives a direct polynomial extension from irreducible E ₆-modules to irreducible E ₇-modules, which can be used to derive Gel'fand–Zetlin bases for E ₇ from those for E ₆ that can be obtained from those for D ₅ according to our earlier work.     

Weak Amenability of A(E) and the Geometry of E

A geometric property is introduced, and it is proved that Banachspaces with this property must carry weakly amenable algebrasof approximable operators. These results are also applied toparticular examples of Banach spaces, including the James spacesand the Tsirelson space.     

Some orbits for E

In this article we establish the existence of a number of new orbits in the automorphism group of the computably enumerable sets. The degree theoretical aspects of these orbits also are examined.     

E *-Stable Theories

S. Shelah proved that stability of a theory is equivalent to definability of every complete type of that theory. T. Mustafin introduced the concept of being T ^*-stable, generalizing the notion of being stable. However, T ^*-stability does not necessitate definability of types. The key result of the present article is proving the definability of types for E ^*-stable theories. This concept differs from that of being T ^*-stable by adding the condition of being continuous. As a consequence we arrive at the definability of types over any P-sets in P-stable theories, which previously was established by T. Nurmagambetov and B. Poizat for types over P-models.